diff --git a/.env b/.env
index 9403b39152..1fa497f3e6 100644
--- a/.env
+++ b/.env
@@ -4,7 +4,7 @@
#### Prowler UI Configuration ####
PROWLER_UI_VERSION="stable"
-SITE_URL=http://localhost:3000
+AUTH_URL=http://localhost:3000
API_BASE_URL=http://prowler-api:8080/api/v1
NEXT_PUBLIC_API_DOCS_URL=http://prowler-api:8080/api/v1/docs
AUTH_TRUST_HOST=true
@@ -33,10 +33,10 @@ VALKEY_DB=0
# API scan settings
# The path to the directory where scan output should be stored
-DJANGO_TMP_OUTPUT_DIRECTORY = "/tmp/prowler_api_output"
+DJANGO_TMP_OUTPUT_DIRECTORY="/tmp/prowler_api_output"
# The maximum number of findings to process in a single batch
-DJANGO_FINDINGS_BATCH_SIZE = 1000
+DJANGO_FINDINGS_BATCH_SIZE=1000
# The AWS access key to be used when uploading scan output to an S3 bucket
# If left empty, default AWS credentials resolution behavior will be used
@@ -123,4 +123,13 @@ SENTRY_ENVIRONMENT=local
SENTRY_RELEASE=local
#### Prowler release version ####
-NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v5.5.0
+NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v5.6.0
+
+# Social login credentials
+SOCIAL_GOOGLE_OAUTH_CALLBACK_URL="${AUTH_URL}/api/auth/callback/google"
+SOCIAL_GOOGLE_OAUTH_CLIENT_ID=""
+SOCIAL_GOOGLE_OAUTH_CLIENT_SECRET=""
+
+SOCIAL_GITHUB_OAUTH_CALLBACK_URL="${AUTH_URL}/api/auth/callback/github"
+SOCIAL_GITHUB_OAUTH_CLIENT_ID=""
+SOCIAL_GITHUB_OAUTH_CLIENT_SECRET=""
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index dee1ed1f62..f4f12db90b 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -9,108 +9,112 @@ updates:
- package-ecosystem: "pip"
directory: "/"
schedule:
- interval: "daily"
- open-pull-requests-limit: 10
+ interval: "monthly"
+ open-pull-requests-limit: 25
target-branch: master
labels:
- "dependencies"
- "pip"
- - package-ecosystem: "pip"
- directory: "/api"
- schedule:
- interval: "daily"
- open-pull-requests-limit: 10
- target-branch: master
- labels:
- - "dependencies"
- - "pip"
- - "component/api"
+ # Dependabot Updates are temporary disabled - 2025/03/19
+ # - package-ecosystem: "pip"
+ # directory: "/api"
+ # schedule:
+ # interval: "daily"
+ # open-pull-requests-limit: 10
+ # target-branch: master
+ # labels:
+ # - "dependencies"
+ # - "pip"
+ # - "component/api"
- package-ecosystem: "github-actions"
directory: "/"
schedule:
- interval: "daily"
- open-pull-requests-limit: 10
+ interval: "monthly"
+ open-pull-requests-limit: 25
target-branch: master
labels:
- "dependencies"
- "github_actions"
- - package-ecosystem: "npm"
- directory: "/ui"
- schedule:
- interval: "daily"
- open-pull-requests-limit: 10
- target-branch: master
- labels:
- - "dependencies"
- - "npm"
- - "component/ui"
+ # Dependabot Updates are temporary disabled - 2025/03/19
+ # - package-ecosystem: "npm"
+ # directory: "/ui"
+ # schedule:
+ # interval: "daily"
+ # open-pull-requests-limit: 10
+ # target-branch: master
+ # labels:
+ # - "dependencies"
+ # - "npm"
+ # - "component/ui"
- package-ecosystem: "docker"
directory: "/"
schedule:
- interval: "weekly"
- open-pull-requests-limit: 10
+ interval: "monthly"
+ open-pull-requests-limit: 25
target-branch: master
labels:
- "dependencies"
- "docker"
+ # Dependabot Updates are temporary disabled - 2025/04/15
# v4.6
- - package-ecosystem: "pip"
- directory: "/"
- schedule:
- interval: "weekly"
- open-pull-requests-limit: 10
- target-branch: v4.6
- labels:
- - "dependencies"
- - "pip"
- - "v4"
+ # - package-ecosystem: "pip"
+ # directory: "/"
+ # schedule:
+ # interval: "weekly"
+ # open-pull-requests-limit: 10
+ # target-branch: v4.6
+ # labels:
+ # - "dependencies"
+ # - "pip"
+ # - "v4"
- - package-ecosystem: "github-actions"
- directory: "/"
- schedule:
- interval: "weekly"
- open-pull-requests-limit: 10
- target-branch: v4.6
- labels:
- - "dependencies"
- - "github_actions"
- - "v4"
+ # - package-ecosystem: "github-actions"
+ # directory: "/"
+ # schedule:
+ # interval: "weekly"
+ # open-pull-requests-limit: 10
+ # target-branch: v4.6
+ # labels:
+ # - "dependencies"
+ # - "github_actions"
+ # - "v4"
- - package-ecosystem: "docker"
- directory: "/"
- schedule:
- interval: "weekly"
- open-pull-requests-limit: 10
- target-branch: v4.6
- labels:
- - "dependencies"
- - "docker"
- - "v4"
+ # - package-ecosystem: "docker"
+ # directory: "/"
+ # schedule:
+ # interval: "weekly"
+ # open-pull-requests-limit: 10
+ # target-branch: v4.6
+ # labels:
+ # - "dependencies"
+ # - "docker"
+ # - "v4"
+ # Dependabot Updates are temporary disabled - 2025/03/19
# v3
- - package-ecosystem: "pip"
- directory: "/"
- schedule:
- interval: "monthly"
- open-pull-requests-limit: 10
- target-branch: v3
- labels:
- - "dependencies"
- - "pip"
- - "v3"
+ # - package-ecosystem: "pip"
+ # directory: "/"
+ # schedule:
+ # interval: "monthly"
+ # open-pull-requests-limit: 10
+ # target-branch: v3
+ # labels:
+ # - "dependencies"
+ # - "pip"
+ # - "v3"
- - package-ecosystem: "github-actions"
- directory: "/"
- schedule:
- interval: "monthly"
- open-pull-requests-limit: 10
- target-branch: v3
- labels:
- - "dependencies"
- - "github_actions"
- - "v3"
+ # - package-ecosystem: "github-actions"
+ # directory: "/"
+ # schedule:
+ # interval: "monthly"
+ # open-pull-requests-limit: 10
+ # target-branch: v3
+ # labels:
+ # - "dependencies"
+ # - "github_actions"
+ # - "v3"
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 9a417cc5d0..f98e90fd03 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -16,6 +16,7 @@ Please include a summary of the change and which issue is fixed. List any depend
- [ ] Review if code is being documented following this specification https://github.com/google/styleguide/blob/gh-pages/pyguide.md#38-comments-and-docstrings
- [ ] Review if backport is needed.
- [ ] Review if is needed to change the [Readme.md](https://github.com/prowler-cloud/prowler/blob/master/README.md)
+- [ ] Ensure new entries are added to [CHANGELOG.md](https://github.com/prowler-cloud/prowler/blob/master/prowler/CHANGELOG.md), if applicable.
#### API
- [ ] Verify if API specs need to be regenerated.
diff --git a/.github/workflows/api-build-lint-push-containers.yml b/.github/workflows/api-build-lint-push-containers.yml
index 049a06866f..953bd032f1 100644
--- a/.github/workflows/api-build-lint-push-containers.yml
+++ b/.github/workflows/api-build-lint-push-containers.yml
@@ -61,7 +61,7 @@ jobs:
steps:
- name: Checkout
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set short git commit SHA
id: vars
@@ -70,18 +70,18 @@ jobs:
echo "SHORT_SHA=${shortSha}" >> $GITHUB_ENV
- name: Login to DockerHub
- uses: docker/login-action@v3
+ uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3.4.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
- name: Build and push container image (latest)
# Comment the following line for testing
if: github.event_name == 'push'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.WORKING_DIRECTORY }}
# Set push: false for testing
@@ -94,7 +94,7 @@ jobs:
- name: Build and push container image (release)
if: github.event_name == 'release'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.WORKING_DIRECTORY }}
push: true
@@ -106,7 +106,7 @@ jobs:
- name: Trigger deployment
if: github.event_name == 'push'
- uses: peter-evans/repository-dispatch@v3
+ uses: peter-evans/repository-dispatch@ff45666b9427631e3450c54a1bcbee4d9ff4d7c0 # v3.0.0
with:
token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
repository: ${{ secrets.CLOUD_DISPATCH }}
diff --git a/.github/workflows/api-codeql.yml b/.github/workflows/api-codeql.yml
index b9b1b966ca..95b044007b 100644
--- a/.github/workflows/api-codeql.yml
+++ b/.github/workflows/api-codeql.yml
@@ -44,16 +44,16 @@ jobs:
steps:
- name: Checkout repository
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
- uses: github/codeql-action/init@v3
+ uses: github/codeql-action/init@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
languages: ${{ matrix.language }}
config-file: ./.github/codeql/api-codeql-config.yml
- name: Perform CodeQL Analysis
- uses: github/codeql-action/analyze@v3
+ uses: github/codeql-action/analyze@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/api-pull-request.yml b/.github/workflows/api-pull-request.yml
index bbeddb1114..604c878bf6 100644
--- a/.github/workflows/api-pull-request.yml
+++ b/.github/workflows/api-pull-request.yml
@@ -71,11 +71,11 @@ jobs:
--health-retries 5
steps:
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Test if changes are in not ignored paths
id: are-non-ignored-files-changed
- uses: tj-actions/changed-files@v45
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
with:
files: api/**
files_ignore: |
@@ -85,6 +85,14 @@ jobs:
api/README.md
api/mkdocs.yml
+ - name: Replace @master with current branch in pyproject.toml
+ working-directory: ./api
+ if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
+ run: |
+ BRANCH_NAME="${GITHUB_HEAD_REF:-${GITHUB_REF_NAME}}"
+ echo "Using branch: $BRANCH_NAME"
+ sed -i "s|@master|@$BRANCH_NAME|g" pyproject.toml
+
- name: Install poetry
working-directory: ./api
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
@@ -92,9 +100,15 @@ jobs:
python -m pip install --upgrade pip
pipx install poetry==2.1.1
+ - name: Update poetry.lock after the branch name change
+ working-directory: ./api
+ if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
+ run: |
+ poetry lock
+
- name: Set up Python ${{ matrix.python-version }}
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
- uses: actions/setup-python@v5
+ uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
@@ -145,7 +159,7 @@ jobs:
working-directory: ./api
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
run: |
- poetry run safety check --ignore 70612,66963
+ poetry run safety check --ignore 70612,66963,74429
- name: Vulture
working-directory: ./api
@@ -167,7 +181,7 @@ jobs:
- name: Upload coverage reports to Codecov
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
- uses: codecov/codecov-action@v5
+ uses: codecov/codecov-action@ad3126e916f78f00edff4ed0317cf185271ccc2d # v5.4.2
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
@@ -175,11 +189,11 @@ jobs:
test-container-build:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
- name: Build Container
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.API_WORKING_DIR }}
push: false
diff --git a/.github/workflows/backport.yml b/.github/workflows/backport.yml
index d74b96f3f8..2aa0a49c09 100644
--- a/.github/workflows/backport.yml
+++ b/.github/workflows/backport.yml
@@ -23,7 +23,7 @@ jobs:
steps:
- name: Check labels
id: preview_label_check
- uses: docker://agilepathway/pull-request-label-checker:v1.6.55
+ uses: agilepathway/label-checker@c3d16ad512e7cea5961df85ff2486bb774caf3c5 # v1.6.65
with:
allow_failure: true
prefix_mode: true
@@ -33,7 +33,7 @@ jobs:
- name: Backport Action
if: steps.preview_label_check.outputs.label_check == 'success'
- uses: sorenlouv/backport-github-action@v9.5.1
+ uses: sorenlouv/backport-github-action@ad888e978060bc1b2798690dd9d03c4036560947 # v9.5.1
with:
github_token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
auto_backport_label_prefix: ${{ env.BACKPORT_LABEL_PREFIX }}
diff --git a/.github/workflows/build-documentation-on-pr.yml b/.github/workflows/build-documentation-on-pr.yml
index 7ae58b9c85..25fc2910f9 100644
--- a/.github/workflows/build-documentation-on-pr.yml
+++ b/.github/workflows/build-documentation-on-pr.yml
@@ -17,7 +17,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Leave PR comment with the Prowler Documentation URI
- uses: peter-evans/create-or-update-comment@v4
+ uses: peter-evans/create-or-update-comment@71345be0265236311c031f5c7866368bd1eff043 # v4.0.0
with:
issue-number: ${{ env.PR_NUMBER }}
body: |
diff --git a/.github/workflows/conventional-commit.yml b/.github/workflows/conventional-commit.yml
index 0a45e7fd30..cdc3e52de5 100644
--- a/.github/workflows/conventional-commit.yml
+++ b/.github/workflows/conventional-commit.yml
@@ -18,6 +18,6 @@ jobs:
steps:
- name: conventional-commit-check
id: conventional-commit-check
- uses: agenthunt/conventional-commit-checker-action@v2.0.0
+ uses: agenthunt/conventional-commit-checker-action@9e552d650d0e205553ec7792d447929fc78e012b # v2.0.0
with:
pr-title-regex: '^([^\s(]+)(?:\(([^)]+)\))?: (.+)'
diff --git a/.github/workflows/create-backport-label.yml b/.github/workflows/create-backport-label.yml
new file mode 100644
index 0000000000..0bc93bd45d
--- /dev/null
+++ b/.github/workflows/create-backport-label.yml
@@ -0,0 +1,67 @@
+name: Create Backport Label
+
+on:
+ release:
+ types: [published]
+
+jobs:
+ create_label:
+ runs-on: ubuntu-latest
+ permissions:
+ contents: write
+ issues: write
+ steps:
+ - name: Create backport label
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ RELEASE_TAG: ${{ github.event.release.tag_name }}
+ OWNER_REPO: ${{ github.repository }}
+ run: |
+ VERSION_ONLY=${RELEASE_TAG#v} # Remove 'v' prefix if present (e.g., v3.2.0 -> 3.2.0)
+
+ # Check if it's a minor version (X.Y.0)
+ if [[ "$VERSION_ONLY" =~ ^[0-9]+\.[0-9]+\.0$ ]]; then
+ echo "Release ${RELEASE_TAG} (version ${VERSION_ONLY}) is a minor version. Proceeding to create backport label."
+
+ TWO_DIGIT_VERSION=${VERSION_ONLY%.0} # Extract X.Y from X.Y.0 (e.g., 5.6 from 5.6.0)
+
+ FINAL_LABEL_NAME="backport-to-v${TWO_DIGIT_VERSION}"
+ FINAL_DESCRIPTION="Backport PR to the v${TWO_DIGIT_VERSION} branch"
+
+ echo "Effective label name will be: ${FINAL_LABEL_NAME}"
+ echo "Effective description will be: ${FINAL_DESCRIPTION}"
+
+ # Check if the label already exists
+ STATUS_CODE=$(curl -s -o /dev/null -w "%{http_code}" -H "Authorization: token ${GITHUB_TOKEN}" "https://api.github.com/repos/${OWNER_REPO}/labels/${FINAL_LABEL_NAME}")
+
+ if [ "${STATUS_CODE}" -eq 200 ]; then
+ echo "Label '${FINAL_LABEL_NAME}' already exists."
+ elif [ "${STATUS_CODE}" -eq 404 ]; then
+ echo "Label '${FINAL_LABEL_NAME}' does not exist. Creating it..."
+ # Prepare JSON data payload
+ JSON_DATA=$(printf '{"name":"%s","description":"%s","color":"B60205"}' "${FINAL_LABEL_NAME}" "${FINAL_DESCRIPTION}")
+
+ CREATE_STATUS_CODE=$(curl -s -o /tmp/curl_create_response.json -w "%{http_code}" -X POST \
+ -H "Accept: application/vnd.github.v3+json" \
+ -H "Authorization: token ${GITHUB_TOKEN}" \
+ --data "${JSON_DATA}" \
+ "https://api.github.com/repos/${OWNER_REPO}/labels")
+
+ CREATE_RESPONSE_BODY=$(cat /tmp/curl_create_response.json)
+ rm -f /tmp/curl_create_response.json
+
+ if [ "$CREATE_STATUS_CODE" -eq 201 ]; then
+ echo "Label '${FINAL_LABEL_NAME}' created successfully."
+ else
+ echo "Error creating label '${FINAL_LABEL_NAME}'. Status: $CREATE_STATUS_CODE"
+ echo "Response: $CREATE_RESPONSE_BODY"
+ exit 1
+ fi
+ else
+ echo "Error checking for label '${FINAL_LABEL_NAME}'. HTTP Status: ${STATUS_CODE}"
+ exit 1
+ fi
+ else
+ echo "Release ${RELEASE_TAG} (version ${VERSION_ONLY}) is not a minor version. Skipping backport label creation."
+ exit 0
+ fi
diff --git a/.github/workflows/find-secrets.yml b/.github/workflows/find-secrets.yml
index 66f8f1802c..a6240297b6 100644
--- a/.github/workflows/find-secrets.yml
+++ b/.github/workflows/find-secrets.yml
@@ -7,11 +7,11 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
fetch-depth: 0
- name: TruffleHog OSS
- uses: trufflesecurity/trufflehog@v3.88.16
+ uses: trufflesecurity/trufflehog@b06f6d72a3791308bb7ba59c2b8cb7a083bd17e4 # v3.88.26
with:
path: ./
base: ${{ github.event.repository.default_branch }}
diff --git a/.github/workflows/labeler.yml b/.github/workflows/labeler.yml
index 199b17962d..6507474ec8 100644
--- a/.github/workflows/labeler.yml
+++ b/.github/workflows/labeler.yml
@@ -14,4 +14,4 @@ jobs:
pull-requests: write
runs-on: ubuntu-latest
steps:
- - uses: actions/labeler@v5
+ - uses: actions/labeler@8558fd74291d67161a8a78ce36a881fa63b766a9 # v5.0.0
diff --git a/.github/workflows/pull-request-merged.yml b/.github/workflows/pull-request-merged.yml
new file mode 100644
index 0000000000..090950f79b
--- /dev/null
+++ b/.github/workflows/pull-request-merged.yml
@@ -0,0 +1,37 @@
+name: Prowler - Merged Pull Request
+
+on:
+ pull_request_target:
+ branches: ['master']
+ types: ['closed']
+
+jobs:
+ trigger-cloud-pull-request:
+ name: Trigger Cloud Pull Request
+ if: github.event.pull_request.merged == true && github.repository == 'prowler-cloud/prowler'
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+ with:
+ ref: ${{ github.event.pull_request.merge_commit_sha }}
+
+ - name: Set short git commit SHA
+ id: vars
+ run: |
+ shortSha=$(git rev-parse --short ${{ github.sha }})
+ echo "SHORT_SHA=${shortSha}" >> $GITHUB_ENV
+
+ - name: Trigger pull request
+ uses: peter-evans/repository-dispatch@ff45666b9427631e3450c54a1bcbee4d9ff4d7c0 # v3.0.0
+ with:
+ token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
+ repository: ${{ secrets.CLOUD_DISPATCH }}
+ event-type: prowler-pull-request-merged
+ client-payload: '{
+ "PROWLER_COMMIT_SHA": "${{ github.sha }}",
+ "PROWLER_COMMIT_SHORT_SHA": "${{ env.SHORT_SHA }}",
+ "PROWLER_PR_TITLE": "${{ github.event.pull_request.title }}",
+ "PROWLER_PR_LABELS": ${{ toJson(github.event.pull_request.labels.*.name) }},
+ "PROWLER_PR_BODY": ${{ toJson(github.event.pull_request.body) }},
+ "PROWLER_PR_URL":${{ toJson(github.event.pull_request.html_url) }}
+ }'
diff --git a/.github/workflows/sdk-build-lint-push-containers.yml b/.github/workflows/sdk-build-lint-push-containers.yml
index 4536430255..f4314055ae 100644
--- a/.github/workflows/sdk-build-lint-push-containers.yml
+++ b/.github/workflows/sdk-build-lint-push-containers.yml
@@ -59,16 +59,16 @@ jobs:
steps:
- name: Checkout
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Setup Python
- uses: actions/setup-python@v5
+ uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ env.PYTHON_VERSION }}
- name: Install Poetry
run: |
- pipx install poetry==1.8.5
+ pipx install poetry==2.*
pipx inject poetry poetry-bumpversion
- name: Get Prowler version
@@ -108,13 +108,13 @@ jobs:
esac
- name: Login to DockerHub
- uses: docker/login-action@v3
+ uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3.4.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Login to Public ECR
- uses: docker/login-action@v3
+ uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3.4.0
with:
registry: public.ecr.aws
username: ${{ secrets.PUBLIC_ECR_AWS_ACCESS_KEY_ID }}
@@ -123,11 +123,11 @@ jobs:
AWS_REGION: ${{ env.AWS_REGION }}
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
- name: Build and push container image (latest)
if: github.event_name == 'push'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
push: true
tags: |
@@ -140,7 +140,7 @@ jobs:
- name: Build and push container image (release)
if: github.event_name == 'release'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
# Use local context to get changes
# https://github.com/docker/build-push-action#path-context
diff --git a/.github/workflows/sdk-bump-version.yml b/.github/workflows/sdk-bump-version.yml
new file mode 100644
index 0000000000..e5e5dba4e0
--- /dev/null
+++ b/.github/workflows/sdk-bump-version.yml
@@ -0,0 +1,145 @@
+name: SDK - Bump Version
+
+on:
+ release:
+ types: [published]
+
+
+env:
+ PROWLER_VERSION: ${{ github.event.release.tag_name }}
+ BASE_BRANCH: master
+
+jobs:
+ bump-version:
+ name: Bump Version
+ if: github.repository == 'prowler-cloud/prowler'
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+
+ - name: Get Prowler version
+ shell: bash
+ run: |
+ if [[ $PROWLER_VERSION =~ ^([0-9]+)\.([0-9]+)\.([0-9]+)$ ]]; then
+ MAJOR_VERSION=${BASH_REMATCH[1]}
+ MINOR_VERSION=${BASH_REMATCH[2]}
+ FIX_VERSION=${BASH_REMATCH[3]}
+
+ # Export version components to GitHub environment
+ echo "MAJOR_VERSION=${MAJOR_VERSION}" >> "${GITHUB_ENV}"
+ echo "MINOR_VERSION=${MINOR_VERSION}" >> "${GITHUB_ENV}"
+ echo "FIX_VERSION=${FIX_VERSION}" >> "${GITHUB_ENV}"
+
+ if (( MAJOR_VERSION == 5 )); then
+ if (( FIX_VERSION == 0 )); then
+ echo "Minor Release: $PROWLER_VERSION"
+
+ # Set up next minor version for master
+ BUMP_VERSION_TO=${MAJOR_VERSION}.$((MINOR_VERSION + 1)).${FIX_VERSION}
+ echo "BUMP_VERSION_TO=${BUMP_VERSION_TO}" >> "${GITHUB_ENV}"
+
+ TARGET_BRANCH=${BASE_BRANCH}
+ echo "TARGET_BRANCH=${TARGET_BRANCH}" >> "${GITHUB_ENV}"
+
+ # Set up patch version for version branch
+ PATCH_VERSION_TO=${MAJOR_VERSION}.${MINOR_VERSION}.1
+ echo "PATCH_VERSION_TO=${PATCH_VERSION_TO}" >> "${GITHUB_ENV}"
+
+ VERSION_BRANCH=v${MAJOR_VERSION}.${MINOR_VERSION}
+ echo "VERSION_BRANCH=${VERSION_BRANCH}" >> "${GITHUB_ENV}"
+
+ echo "Bumping to next minor version: ${BUMP_VERSION_TO} in branch ${TARGET_BRANCH}"
+ echo "Bumping to next patch version: ${PATCH_VERSION_TO} in branch ${VERSION_BRANCH}"
+ else
+ echo "Patch Release: $PROWLER_VERSION"
+
+ BUMP_VERSION_TO=${MAJOR_VERSION}.${MINOR_VERSION}.$((FIX_VERSION + 1))
+ echo "BUMP_VERSION_TO=${BUMP_VERSION_TO}" >> "${GITHUB_ENV}"
+
+ TARGET_BRANCH=v${MAJOR_VERSION}.${MINOR_VERSION}
+ echo "TARGET_BRANCH=${TARGET_BRANCH}" >> "${GITHUB_ENV}"
+
+ echo "Bumping to next patch version: ${BUMP_VERSION_TO} in branch ${TARGET_BRANCH}"
+ fi
+ else
+ echo "Releasing another Prowler major version, aborting..."
+ exit 1
+ fi
+ else
+ echo "Invalid version syntax: '$PROWLER_VERSION' (must be N.N.N)" >&2
+ exit 1
+ fi
+
+ - name: Bump versions in files
+ run: |
+ echo "Using PROWLER_VERSION=$PROWLER_VERSION"
+ echo "Using BUMP_VERSION_TO=$BUMP_VERSION_TO"
+
+ set -e
+
+ echo "Bumping version in pyproject.toml ..."
+ sed -i "s|version = \"${PROWLER_VERSION}\"|version = \"${BUMP_VERSION_TO}\"|" pyproject.toml
+
+ echo "Bumping version in prowler/config/config.py ..."
+ sed -i "s|prowler_version = \"${PROWLER_VERSION}\"|prowler_version = \"${BUMP_VERSION_TO}\"|" prowler/config/config.py
+
+ echo "Bumping version in .env ..."
+ sed -i "s|NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v${PROWLER_VERSION}|NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v${BUMP_VERSION_TO}|" .env
+
+ git --no-pager diff
+
+ - name: Create Pull Request
+ uses: peter-evans/create-pull-request@271a8d0340265f705b14b6d32b9829c1cb33d45e # v7.0.8
+ with:
+ author: prowler-bot <179230569+prowler-bot@users.noreply.github.com>
+ token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
+ base: ${{ env.TARGET_BRANCH }}
+ commit-message: "chore(release): Bump version to v${{ env.BUMP_VERSION_TO }}"
+ branch: "version-bump-to-v${{ env.BUMP_VERSION_TO }}"
+ title: "chore(release): Bump version to v${{ env.BUMP_VERSION_TO }}"
+ body: |
+ ### Description
+
+ Bump Prowler version to v${{ env.BUMP_VERSION_TO }}
+
+ ### License
+
+ By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
+
+ - name: Handle patch version for minor release
+ if: env.FIX_VERSION == '0'
+ run: |
+ echo "Using PROWLER_VERSION=$PROWLER_VERSION"
+ echo "Using PATCH_VERSION_TO=$PATCH_VERSION_TO"
+
+ set -e
+
+ echo "Bumping version in pyproject.toml ..."
+ sed -i "s|version = \"${PROWLER_VERSION}\"|version = \"${PATCH_VERSION_TO}\"|" pyproject.toml
+
+ echo "Bumping version in prowler/config/config.py ..."
+ sed -i "s|prowler_version = \"${PROWLER_VERSION}\"|prowler_version = \"${PATCH_VERSION_TO}\"|" prowler/config/config.py
+
+ echo "Bumping version in .env ..."
+ sed -i "s|NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v${PROWLER_VERSION}|NEXT_PUBLIC_PROWLER_RELEASE_VERSION=v${PATCH_VERSION_TO}|" .env
+
+ git --no-pager diff
+
+ - name: Create Pull Request for patch version
+ if: env.FIX_VERSION == '0'
+ uses: peter-evans/create-pull-request@271a8d0340265f705b14b6d32b9829c1cb33d45e # v7.0.8
+ with:
+ author: prowler-bot <179230569+prowler-bot@users.noreply.github.com>
+ token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
+ base: ${{ env.VERSION_BRANCH }}
+ commit-message: "chore(release): Bump version to v${{ env.PATCH_VERSION_TO }}"
+ branch: "version-bump-to-v${{ env.PATCH_VERSION_TO }}"
+ title: "chore(release): Bump version to v${{ env.PATCH_VERSION_TO }}"
+ body: |
+ ### Description
+
+ Bump Prowler version to v${{ env.PATCH_VERSION_TO }}
+
+ ### License
+
+ By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
diff --git a/.github/workflows/sdk-codeql.yml b/.github/workflows/sdk-codeql.yml
index 1c5663de5b..5634ead1e6 100644
--- a/.github/workflows/sdk-codeql.yml
+++ b/.github/workflows/sdk-codeql.yml
@@ -21,6 +21,7 @@ on:
paths-ignore:
- 'ui/**'
- 'api/**'
+ - '.github/**'
pull_request:
branches:
- "master"
@@ -30,6 +31,7 @@ on:
paths-ignore:
- 'ui/**'
- 'api/**'
+ - '.github/**'
schedule:
- cron: '00 12 * * *'
@@ -50,16 +52,16 @@ jobs:
steps:
- name: Checkout repository
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
- uses: github/codeql-action/init@v3
+ uses: github/codeql-action/init@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
languages: ${{ matrix.language }}
config-file: ./.github/codeql/sdk-codeql-config.yml
- name: Perform CodeQL Analysis
- uses: github/codeql-action/analyze@v3
+ uses: github/codeql-action/analyze@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/sdk-pull-request.yml b/.github/workflows/sdk-pull-request.yml
index 646277dec5..1fa3e9c592 100644
--- a/.github/workflows/sdk-pull-request.yml
+++ b/.github/workflows/sdk-pull-request.yml
@@ -21,11 +21,11 @@ jobs:
python-version: ["3.9", "3.10", "3.11", "3.12"]
steps:
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Test if changes are in not ignored paths
id: are-non-ignored-files-changed
- uses: tj-actions/changed-files@v45
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
with:
files: ./**
files_ignore: |
@@ -34,6 +34,7 @@ jobs:
permissions/**
api/**
ui/**
+ prowler/CHANGELOG.md
README.md
mkdocs.yml
.backportrc.json
@@ -50,7 +51,7 @@ jobs:
- name: Set up Python ${{ matrix.python-version }}
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
- uses: actions/setup-python@v5
+ uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
@@ -106,15 +107,128 @@ jobs:
run: |
/tmp/hadolint Dockerfile --ignore=DL3013
- - name: Test with pytest
+ # Test AWS
+ - name: AWS - Check if any file has changed
+ id: aws-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/aws/**
+ ./tests/providers/aws/**
+ .poetry.lock
+
+ - name: AWS - Test
+ if: steps.aws-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/aws --cov-report=xml:aws_coverage.xml tests/providers/aws
+
+ # Test Azure
+ - name: Azure - Check if any file has changed
+ id: azure-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/azure/**
+ ./tests/providers/azure/**
+ .poetry.lock
+
+ - name: Azure - Test
+ if: steps.azure-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/azure --cov-report=xml:azure_coverage.xml tests/providers/azure
+
+ # Test GCP
+ - name: GCP - Check if any file has changed
+ id: gcp-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/gcp/**
+ ./tests/providers/gcp/**
+ .poetry.lock
+
+ - name: GCP - Test
+ if: steps.gcp-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/gcp --cov-report=xml:gcp_coverage.xml tests/providers/gcp
+
+ # Test Kubernetes
+ - name: Kubernetes - Check if any file has changed
+ id: kubernetes-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/kubernetes/**
+ ./tests/providers/kubernetes/**
+ .poetry.lock
+
+ - name: Kubernetes - Test
+ if: steps.kubernetes-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/kubernetes --cov-report=xml:kubernetes_coverage.xml tests/providers/kubernetes
+
+ # Test GitHub
+ - name: GitHub - Check if any file has changed
+ id: github-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/github/**
+ ./tests/providers/github/**
+ .poetry.lock
+
+ - name: GitHub - Test
+ if: steps.github-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/github --cov-report=xml:github_coverage.xml tests/providers/github
+
+ # Test NHN
+ - name: NHN - Check if any file has changed
+ id: nhn-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/nhn/**
+ ./tests/providers/nhn/**
+ .poetry.lock
+
+ - name: NHN - Test
+ if: steps.nhn-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/nhn --cov-report=xml:nhn_coverage.xml tests/providers/nhn
+
+ # Test M365
+ - name: M365 - Check if any file has changed
+ id: m365-changed-files
+ uses: tj-actions/changed-files@ed68ef82c095e0d48ec87eccea555d944a631a4c # v46.0.5
+ with:
+ files: |
+ ./prowler/providers/m365/**
+ ./tests/providers/m365/**
+ .poetry.lock
+
+ - name: M365 - Test
+ if: steps.m365-changed-files.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/providers/m365 --cov-report=xml:m365_coverage.xml tests/providers/m365
+
+ # Common Tests
+ - name: Lib - Test
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
run: |
- poetry run pytest -n auto --cov=./prowler --cov-report=xml tests
+ poetry run pytest -n auto --cov=./prowler/lib --cov-report=xml:lib_coverage.xml tests/lib
+ - name: Config - Test
+ if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
+ run: |
+ poetry run pytest -n auto --cov=./prowler/config --cov-report=xml:config_coverage.xml tests/config
+
+ # Codecov
- name: Upload coverage reports to Codecov
if: steps.are-non-ignored-files-changed.outputs.any_changed == 'true'
- uses: codecov/codecov-action@v5
+ uses: codecov/codecov-action@ad3126e916f78f00edff4ed0317cf185271ccc2d # v5.4.2
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
flags: prowler
+ files: ./aws_coverage.xml,./azure_coverage.xml,./gcp_coverage.xml,./kubernetes_coverage.xml,./github_coverage.xml,./nhn_coverage.xml,./m365_coverage.xml,./lib_coverage.xml,./config_coverage.xml
diff --git a/.github/workflows/sdk-pypi-release.yml b/.github/workflows/sdk-pypi-release.yml
index af44300179..07d6ca5a6f 100644
--- a/.github/workflows/sdk-pypi-release.yml
+++ b/.github/workflows/sdk-pypi-release.yml
@@ -7,7 +7,7 @@ on:
env:
RELEASE_TAG: ${{ github.event.release.tag_name }}
PYTHON_VERSION: 3.11
- CACHE: "poetry"
+ # CACHE: "poetry"
jobs:
repository-check:
@@ -64,17 +64,17 @@ jobs:
;;
esac
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Install dependencies
run: |
- pipx install poetry==1.8.5
+ pipx install poetry==2.1.1
- name: Setup Python
- uses: actions/setup-python@v5
+ uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: ${{ env.PYTHON_VERSION }}
- cache: ${{ env.CACHE }}
+ # cache: ${{ env.CACHE }}
- name: Build Prowler package
run: |
diff --git a/.github/workflows/sdk-refresh-aws-services-regions.yml b/.github/workflows/sdk-refresh-aws-services-regions.yml
index bf7af302e2..8ebc1b5db0 100644
--- a/.github/workflows/sdk-refresh-aws-services-regions.yml
+++ b/.github/workflows/sdk-refresh-aws-services-regions.yml
@@ -4,7 +4,7 @@ name: SDK - Refresh AWS services' regions
on:
schedule:
- - cron: "0 9 * * *" #runs at 09:00 UTC everyday
+ - cron: "0 9 * * 1" # runs at 09:00 UTC every Monday
env:
GITHUB_BRANCH: "master"
@@ -23,12 +23,12 @@ jobs:
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
ref: ${{ env.GITHUB_BRANCH }}
- name: setup python
- uses: actions/setup-python@v5
+ uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: 3.9 #install the python needed
@@ -38,7 +38,7 @@ jobs:
pip install boto3
- name: Configure AWS Credentials -- DEV
- uses: aws-actions/configure-aws-credentials@v4
+ uses: aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722 # v4.1.0
with:
aws-region: ${{ env.AWS_REGION_DEV }}
role-to-assume: ${{ secrets.DEV_IAM_ROLE_ARN }}
@@ -50,12 +50,13 @@ jobs:
# Create pull request
- name: Create Pull Request
- uses: peter-evans/create-pull-request@v7
+ uses: peter-evans/create-pull-request@271a8d0340265f705b14b6d32b9829c1cb33d45e # v7.0.8
with:
+ author: prowler-bot <179230569+prowler-bot@users.noreply.github.com>
token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
commit-message: "feat(regions_update): Update regions for AWS services"
branch: "aws-services-regions-updated-${{ github.sha }}"
- labels: "status/waiting-for-revision, severity/low, provider/aws, backport-to-v3"
+ labels: "status/waiting-for-revision, severity/low, provider/aws"
title: "chore(regions_update): Changes in regions for AWS services"
body: |
### Description
diff --git a/.github/workflows/ui-build-lint-push-containers.yml b/.github/workflows/ui-build-lint-push-containers.yml
index 572f06d027..6de0e6abf3 100644
--- a/.github/workflows/ui-build-lint-push-containers.yml
+++ b/.github/workflows/ui-build-lint-push-containers.yml
@@ -61,7 +61,7 @@ jobs:
steps:
- name: Checkout
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set short git commit SHA
id: vars
@@ -70,18 +70,18 @@ jobs:
echo "SHORT_SHA=${shortSha}" >> $GITHUB_ENV
- name: Login to DockerHub
- uses: docker/login-action@v3
+ uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3.4.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
- name: Build and push container image (latest)
# Comment the following line for testing
if: github.event_name == 'push'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.WORKING_DIRECTORY }}
build-args: |
@@ -96,7 +96,7 @@ jobs:
- name: Build and push container image (release)
if: github.event_name == 'release'
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.WORKING_DIRECTORY }}
build-args: |
@@ -110,7 +110,7 @@ jobs:
- name: Trigger deployment
if: github.event_name == 'push'
- uses: peter-evans/repository-dispatch@v3
+ uses: peter-evans/repository-dispatch@ff45666b9427631e3450c54a1bcbee4d9ff4d7c0 # v3.0.0
with:
token: ${{ secrets.PROWLER_BOT_ACCESS_TOKEN }}
repository: ${{ secrets.CLOUD_DISPATCH }}
diff --git a/.github/workflows/ui-codeql.yml b/.github/workflows/ui-codeql.yml
index 6192713d39..a43f59c245 100644
--- a/.github/workflows/ui-codeql.yml
+++ b/.github/workflows/ui-codeql.yml
@@ -44,16 +44,16 @@ jobs:
steps:
- name: Checkout repository
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
- uses: github/codeql-action/init@v3
+ uses: github/codeql-action/init@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
languages: ${{ matrix.language }}
config-file: ./.github/codeql/ui-codeql-config.yml
- name: Perform CodeQL Analysis
- uses: github/codeql-action/analyze@v3
+ uses: github/codeql-action/analyze@28deaeda66b76a05916b6923827895f2b14ab387 # v3.28.16
with:
category: "/language:${{matrix.language}}"
diff --git a/.github/workflows/ui-pull-request.yml b/.github/workflows/ui-pull-request.yml
index 79e4c5e54b..942a4efade 100644
--- a/.github/workflows/ui-pull-request.yml
+++ b/.github/workflows/ui-pull-request.yml
@@ -27,11 +27,11 @@ jobs:
node-version: [20.x]
steps:
- name: Checkout repository
- uses: actions/checkout@v4
+ uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
persist-credentials: false
- name: Setup Node.js ${{ matrix.node-version }}
- uses: actions/setup-node@v4
+ uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
with:
node-version: ${{ matrix.node-version }}
- name: Install dependencies
@@ -46,11 +46,11 @@ jobs:
test-container-build:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v4
+ - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
- name: Build Container
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@14487ce63c7a62a4a324b0bfb37086795e31c6c1 # v6.16.0
with:
context: ${{ env.UI_WORKING_DIR }}
# Always build using `prod` target
diff --git a/.gitignore b/.gitignore
index f28fa40b38..3e08f3580a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -42,7 +42,8 @@ junit-reports/
# VSCode files
.vscode/
-# Cursor
+# Cursor files
+.cursorignore
.cursor/
# Terraform
@@ -53,6 +54,7 @@ junit-reports/
# .env
ui/.env*
api/.env*
+.env.local
# Coverage
.coverage*
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a5d011e23d..0382dd901d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -115,7 +115,7 @@ repos:
- id: safety
name: safety
description: "Safety is a tool that checks your installed dependencies for known security vulnerabilities"
- entry: bash -c 'safety check --ignore 70612,66963'
+ entry: bash -c 'safety check --ignore 70612,66963,74429'
language: system
- id: vulture
diff --git a/Dockerfile b/Dockerfile
index 02014d0203..0e9fb89a03 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,24 +1,43 @@
-FROM python:3.12.9-alpine3.20
+FROM python:3.12.10-slim-bookworm AS build
LABEL maintainer="https://github.com/prowler-cloud/prowler"
+LABEL org.opencontainers.image.source="https://github.com/prowler-cloud/prowler"
-# Update system dependencies and install essential tools
-#hadolint ignore=DL3018
-RUN apk --no-cache upgrade && apk --no-cache add curl git gcc python3-dev musl-dev linux-headers
+ARG POWERSHELL_VERSION=7.5.0
+
+# hadolint ignore=DL3008
+RUN apt-get update && apt-get install -y --no-install-recommends wget libicu72 \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install PowerShell
+RUN ARCH=$(uname -m) && \
+ if [ "$ARCH" = "x86_64" ]; then \
+ wget --progress=dot:giga https://github.com/PowerShell/PowerShell/releases/download/v${POWERSHELL_VERSION}/powershell-${POWERSHELL_VERSION}-linux-x64.tar.gz -O /tmp/powershell.tar.gz ; \
+ elif [ "$ARCH" = "aarch64" ]; then \
+ wget --progress=dot:giga https://github.com/PowerShell/PowerShell/releases/download/v${POWERSHELL_VERSION}/powershell-${POWERSHELL_VERSION}-linux-arm64.tar.gz -O /tmp/powershell.tar.gz ; \
+ else \
+ echo "Unsupported architecture: $ARCH" && exit 1 ; \
+ fi && \
+ mkdir -p /opt/microsoft/powershell/7 && \
+ tar zxf /tmp/powershell.tar.gz -C /opt/microsoft/powershell/7 && \
+ chmod +x /opt/microsoft/powershell/7/pwsh && \
+ ln -s /opt/microsoft/powershell/7/pwsh /usr/bin/pwsh && \
+ rm /tmp/powershell.tar.gz
+
+# Add prowler user
+RUN addgroup --gid 1000 prowler && \
+ adduser --uid 1000 --gid 1000 --disabled-password --gecos "" prowler
-# Create non-root user
-RUN mkdir -p /home/prowler && \
- echo 'prowler:x:1000:1000:prowler:/home/prowler:' > /etc/passwd && \
- echo 'prowler:x:1000:' > /etc/group && \
- chown -R prowler:prowler /home/prowler
USER prowler
-# Copy necessary files
WORKDIR /home/prowler
+
+# Copy necessary files
COPY prowler/ /home/prowler/prowler/
COPY dashboard/ /home/prowler/dashboard/
COPY pyproject.toml /home/prowler
COPY README.md /home/prowler/
+COPY prowler/providers/m365/lib/powershell/m365_powershell.py /home/prowler/prowler/providers/m365/lib/powershell/m365_powershell.py
# Install Python dependencies
ENV HOME='/home/prowler'
@@ -34,6 +53,9 @@ RUN pip install --no-cache-dir --upgrade pip && \
RUN poetry install --compile && \
rm -rf ~/.cache/pip
+# Install PowerShell modules
+RUN poetry run python prowler/providers/m365/lib/powershell/m365_powershell.py
+
# Remove deprecated dash dependencies
RUN pip uninstall dash-html-components -y && \
pip uninstall dash-core-components -y
diff --git a/README.md b/README.md
index cb40861994..9064d36891 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
- Prowler Open Source is as dynamic and adaptable as the environment theyโre meant to protect. Trusted by the leaders in security.
+ Prowler is the Open Cloud Security platform trusted by thousands to automate security and compliance in any cloud environment. With hundreds of ready-to-use checks and compliance frameworks, Prowler delivers real-time, customizable monitoring and seamless integrations, making cloud security simple, scalable, and cost-effective for organizations of any size.
Learn more at prowler.com
@@ -43,15 +43,29 @@
# Description
-**Prowler** is an Open Source security tool to perform AWS, Azure, Google Cloud and Kubernetes security best practices assessments, audits, incident response, continuous monitoring, hardening and forensics readiness, and also remediations! We have Prowler CLI (Command Line Interface) that we call Prowler Open Source and a service on top of it that we call Prowler Cloud.
+**Prowler** is an open-source security tool designed to assess and enforce security best practices across AWS, Azure, Google Cloud, and Kubernetes. It supports tasks such as security audits, incident response, continuous monitoring, system hardening, forensic readiness, and remediation processes.
+
+Prowler includes hundreds of built-in controls to ensure compliance with standards and frameworks, including:
+
+- **Industry Standards:** CIS, NIST 800, NIST CSF, and CISA
+- **Regulatory Compliance and Governance:** RBI, FedRAMP, and PCI-DSS
+- **Frameworks for Sensitive Data and Privacy:** GDPR, HIPAA, and FFIEC
+- **Frameworks for Organizational Governance and Quality Control:** SOC2 and GXP
+- **AWS-Specific Frameworks:** AWS Foundational Technical Review (FTR) and AWS Well-Architected Framework (Security Pillar)
+- **National Security Standards:** ENS (Spanish National Security Scheme)
+- **Custom Security Frameworks:** Tailored to your needs
+
+## Prowler CLI and Prowler Cloud
+
+Prowler offers a Command Line Interface (CLI), known as Prowler Open Source, and an additional service built on top of it, called Prowler Cloud.
## Prowler App
-Prowler App is a web application that allows you to run Prowler in your cloud provider accounts and visualize the results in a user-friendly interface.
+Prowler App is a web-based application that simplifies running Prowler across your cloud provider accounts. It provides a user-friendly interface to visualize the results and streamline your security assessments.

->More details at [Prowler App Documentation](https://docs.prowler.com/projects/prowler-open-source/en/latest/#prowler-app-installation)
+>For more details, refer to the [Prowler App Documentation](https://docs.prowler.com/projects/prowler-open-source/en/latest/#prowler-app-installation)
## Prowler CLI
@@ -60,6 +74,7 @@ prowler
```

+
## Prowler Dashboard
```console
@@ -67,25 +82,28 @@ prowler dashboard
```

-It contains hundreds of controls covering CIS, NIST 800, NIST CSF, CISA, RBI, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, GXP, AWS Well-Architected Framework Security Pillar, AWS Foundational Technical Review (FTR), ENS (Spanish National Security Scheme) and your custom security frameworks.
+# Prowler at a Glance
| Provider | Checks | Services | [Compliance Frameworks](https://docs.prowler.com/projects/prowler-open-source/en/latest/tutorials/compliance/) | [Categories](https://docs.prowler.com/projects/prowler-open-source/en/latest/tutorials/misc/#categories) |
|---|---|---|---|---|
-| AWS | 564 | 82 | 33 | 10 |
-| GCP | 77 | 13 | 6 | 3 |
-| Azure | 140 | 18 | 7 | 3 |
-| Kubernetes | 83 | 7 | 4 | 7 |
-| Microsoft365 | 5 | 2 | 1 | 0 |
+| AWS | 564 | 82 | 34 | 10 |
+| GCP | 79 | 13 | 7 | 3 |
+| Azure | 140 | 18 | 8 | 3 |
+| Kubernetes | 83 | 7 | 5 | 7 |
+| GitHub | 3 | 2 | 1 | 0 |
+| M365 | 44 | 2 | 2 | 0 |
+| NHN (Unofficial) | 6 | 2 | 1 | 0 |
-> You can list the checks, services, compliance frameworks and categories with `prowler --list-checks`, `prowler --list-services`, `prowler --list-compliance` and `prowler --list-categories`.
+> Use the following commands to list Prowler's available checks, services, compliance frameworks, and categories: `prowler --list-checks`, `prowler --list-services`, `prowler --list-compliance` and `prowler --list-categories`.
# ๐ป Installation
## Prowler App
-Prowler App can be installed in different ways, depending on your environment:
+Installing Prowler App
+Prowler App offers flexible installation methods tailored to various environments:
-> See how to use Prowler App in the [Prowler App Usage Guide](https://docs.prowler.com/projects/prowler-open-source/en/latest/tutorials/prowler-app/).
+> For detailed instructions on using Prowler App, refer to the [Prowler App Usage Guide](https://docs.prowler.com/projects/prowler-open-source/en/latest/tutorials/prowler-app/).
### Docker Compose
@@ -101,8 +119,16 @@ curl -LO https://raw.githubusercontent.com/prowler-cloud/prowler/refs/heads/mast
docker compose up -d
```
-> Containers are built for `linux/amd64`. If your workstation's architecture is different, please set `DOCKER_DEFAULT_PLATFORM=linux/amd64` in your environment or use the `--platform linux/amd64` flag in the docker command.
-> Enjoy Prowler App at http://localhost:3000 by signing up with your email and password.
+> Containers are built for `linux/amd64`.
+
+### Configuring Your Workstation for Prowler App
+
+If your workstation's architecture is incompatible, you can resolve this by:
+
+- **Setting the environment variable**: `DOCKER_DEFAULT_PLATFORM=linux/amd64`
+- **Using the following flag in your Docker command**: `--platform linux/amd64`
+
+> Once configured, access the Prowler App at http://localhost:3000. Sign up using your email and password to get started.
### From GitHub
@@ -128,12 +154,12 @@ python manage.py migrate --database admin
gunicorn -c config/guniconf.py config.wsgi:application
```
> [!IMPORTANT]
-> Starting from Poetry v2.0.0, `poetry shell` has been deprecated in favor of `poetry env activate`.
+> As of Poetry v2.0.0, the `poetry shell` command has been deprecated. Use `poetry env activate` instead for environment activation.
>
-> If your poetry version is below 2.0.0 you must keep using `poetry shell` to activate your environment.
-> In case you have any doubts, consult the Poetry environment activation guide: https://python-poetry.org/docs/managing-environments/#activating-the-environment
+> If your Poetry version is below v2.0.0, continue using `poetry shell` to activate your environment.
+> For further guidance, refer to the Poetry Environment Activation Guide https://python-poetry.org/docs/managing-environments/#activating-the-environment.
-> Now, you can access the API documentation at http://localhost:8080/api/v1/docs.
+> After completing the setup, access the API documentation at http://localhost:8080/api/v1/docs.
**Commands to run the API Worker**
@@ -171,29 +197,31 @@ npm run build
npm start
```
-> Enjoy Prowler App at http://localhost:3000 by signing up with your email and password.
+> Once configured, access the Prowler App at http://localhost:3000. Sign up using your email and password to get started.
## Prowler CLI
### Pip package
-Prowler CLI is available as a project in [PyPI](https://pypi.org/project/prowler-cloud/), thus can be installed using pip with Python > 3.9.1, < 3.13:
+Prowler CLI is available as a project in [PyPI](https://pypi.org/project/prowler-cloud/). Consequently, it can be installed using pip with Python >3.9.1, <3.13:
```console
pip install prowler
prowler -v
```
->More details at [https://docs.prowler.com](https://docs.prowler.com/projects/prowler-open-source/en/latest/#prowler-cli-installation)
+>For further guidance, refer to [https://docs.prowler.com](https://docs.prowler.com/projects/prowler-open-source/en/latest/#prowler-cli-installation)
### Containers
-The available versions of Prowler CLI are the following:
+**Available Versions of Prowler CLI**
-- `latest`: in sync with `master` branch (bear in mind that it is not a stable version)
-- `v4-latest`: in sync with `v4` branch (bear in mind that it is not a stable version)
-- `v3-latest`: in sync with `v3` branch (bear in mind that it is not a stable version)
-- `` (release): you can find the releases [here](https://github.com/prowler-cloud/prowler/releases), those are stable releases.
-- `stable`: this tag always point to the latest release.
-- `v4-stable`: this tag always point to the latest release for v4.
-- `v3-stable`: this tag always point to the latest release for v3.
+The following versions of Prowler CLI are available, depending on your requirements:
+
+- `latest`: Synchronizes with the `master` branch. Note that this version is not stable.
+- `v4-latest`: Synchronizes with the `v4` branch. Note that this version is not stable.
+- `v3-latest`: Synchronizes with the `v3` branch. Note that this version is not stable.
+- `` (release): Stable releases corresponding to specific versions. You can find the complete list of releases [here](https://github.com/prowler-cloud/prowler/releases).
+- `stable`: Always points to the latest release.
+- `v4-stable`: Always points to the latest release for v4.
+- `v3-stable`: Always points to the latest release for v3.
The container images are available here:
- Prowler CLI:
@@ -205,35 +233,56 @@ The container images are available here:
### From GitHub
-Python > 3.9.1, < 3.13 is required with pip and poetry:
+Python >3.9.1, <3.13 is required with pip and Poetry:
``` console
git clone https://github.com/prowler-cloud/prowler
cd prowler
eval $(poetry env activate)
poetry install
-python prowler.py -v
+python prowler-cli.py -v
```
> [!IMPORTANT]
-> Starting from Poetry v2.0.0, `poetry shell` has been deprecated in favor of `poetry env activate`.
->
-> If your poetry version is below 2.0.0 you must keep using `poetry shell` to activate your environment.
-> In case you have any doubts, consult the Poetry environment activation guide: https://python-poetry.org/docs/managing-environments/#activating-the-environment
+> To clone Prowler on Windows, configure Git to support long file paths by running the following command: `git config core.longpaths true`.
-> If you want to clone Prowler from Windows, use `git config core.longpaths true` to allow long file paths.
-# ๐โ๏ธ High level architecture
+> [!IMPORTANT]
+> As of Poetry v2.0.0, the `poetry shell` command has been deprecated. Use `poetry env activate` instead for environment activation.
+>
+> If your Poetry version is below v2.0.0, continue using `poetry shell` to activate your environment.
+> For further guidance, refer to the Poetry Environment Activation Guide https://python-poetry.org/docs/managing-environments/#activating-the-environment.
+
+# โ๏ธ High level architecture
## Prowler App
-The **Prowler App** consists of three main components:
+**Prowler App** is composed of three key components:
-- **Prowler UI**: A user-friendly web interface for running Prowler and viewing results, powered by Next.js.
-- **Prowler API**: The backend API that executes Prowler scans and stores the results, built with Django REST Framework.
-- **Prowler SDK**: A Python SDK that integrates with the Prowler CLI for advanced functionality.
+- **Prowler UI**: A web-based interface, built with Next.js, providing a user-friendly experience for executing Prowler scans and visualizing results.
+- **Prowler API**: A backend service, developed with Django REST Framework, responsible for running Prowler scans and storing the generated results.
+- **Prowler SDK**: A Python SDK designed to extend the functionality of the Prowler CLI for advanced capabilities.

## Prowler CLI
-You can run Prowler from your workstation, a Kubernetes Job, a Google Compute Engine, an Azure VM, an EC2 instance, Fargate or any other container, CloudShell and many more.
+
+**Running Prowler**
+
+Prowler can be executed across various environments, offering flexibility to meet your needs. It can be run from:
+
+- Your own workstation
+
+- A Kubernetes Job
+
+- Google Compute Engine
+
+- Azure Virtual Machines (VMs)
+
+- Amazon EC2 instances
+
+- AWS Fargate or other container platforms
+
+- CloudShell
+
+And many more environments.

@@ -241,23 +290,36 @@ You can run Prowler from your workstation, a Kubernetes Job, a Google Compute En
## General
- `Allowlist` now is called `Mutelist`.
-- The `--quiet` option has been deprecated, now use the `--status` flag to select the finding's status you want to get from PASS, FAIL or MANUAL.
-- All `INFO` finding's status has changed to `MANUAL`.
-- The CSV output format is common for all the providers.
+- The `--quiet` option has been deprecated. Use the `--status` flag to filter findings based on their status: PASS, FAIL, or MANUAL.
+- All findings with an `INFO` status have been reclassified as `MANUAL`.
+- The CSV output format is standardized across all providers.
-We have deprecated some of our outputs formats:
-- The native JSON is replaced for the JSON [OCSF](https://schema.ocsf.io/) v1.1.0, common for all the providers.
+**Deprecated Output Formats**
+
+The following formats are now deprecated:
+- Native JSON has been replaced with JSON in [OCSF] v1.1.0 format, which is standardized across all providers (https://schema.ocsf.io/).
## AWS
-- Deprecate the AWS flag --sts-endpoint-region since we use AWS STS regional tokens.
-- To send only FAILS to AWS Security Hub, now use either `--send-sh-only-fails` or `--security-hub --status FAIL`.
+
+**AWS Flag Deprecation**
+
+The flag --sts-endpoint-region has been deprecated due to the adoption of AWS STS regional tokens.
+
+**Sending FAIL Results to AWS Security Hub**
+
+- To send only FAILS to AWS Security Hub, use one of the following options: `--send-sh-only-fails` or `--security-hub --status FAIL`.
# ๐ Documentation
-Install, Usage, Tutorials and Developer Guide is at https://docs.prowler.com/
+**Documentation Resources**
+
+For installation instructions, usage details, tutorials, and the Developer Guide, visit https://docs.prowler.com/
# ๐ License
-Prowler is licensed as Apache License 2.0 as specified in each file. You may obtain a copy of the License at
-
+**Prowler License Information**
+
+Prowler is licensed under the Apache License 2.0, as indicated in each file within the repository. Obtaining a Copy of the License
+
+A copy of the License is available at
diff --git a/api/.env.example b/api/.env.example
index 62df0034c1..e97210816b 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -56,3 +56,6 @@ DJANGO_GOOGLE_OAUTH_CALLBACK_URL=""
DJANGO_GITHUB_OAUTH_CLIENT_ID=""
DJANGO_GITHUB_OAUTH_CLIENT_SECRET=""
DJANGO_GITHUB_OAUTH_CALLBACK_URL=""
+
+# Deletion Task Batch Size
+DJANGO_DELETION_BATCH_SIZE=5000
diff --git a/api/.pre-commit-config.yaml b/api/.pre-commit-config.yaml
index 6859567eb5..1cd04529c3 100644
--- a/api/.pre-commit-config.yaml
+++ b/api/.pre-commit-config.yaml
@@ -80,7 +80,7 @@ repos:
- id: safety
name: safety
description: "Safety is a tool that checks your installed dependencies for known security vulnerabilities"
- entry: bash -c 'poetry run safety check --ignore 70612,66963'
+ entry: bash -c 'poetry run safety check --ignore 70612,66963,74429'
language: system
- id: vulture
diff --git a/api/CHANGELOG.md b/api/CHANGELOG.md
index 741f740c5e..2939de72d7 100644
--- a/api/CHANGELOG.md
+++ b/api/CHANGELOG.md
@@ -2,12 +2,80 @@
All notable changes to the **Prowler API** are documented in this file.
+## [v1.9.0] (Prowler UNRELEASED)
+
+### Added
+- Support for read only replicas in the database [(#7210)](https://github.com/prowler-cloud/prowler/pull/7210).
+
---
-## [v1.6.0] (Prowler UNRELEASED)
+## [v1.8.1] (Prowler v5.7.1)
+
+### Fixed
+- Added database index to improve performance on finding lookup. [(#7800)](https://github.com/prowler-cloud/prowler/pull/7800)
+
+---
+
+## [v1.8.0] (Prowler v5.7.0)
+
+### Added
+- Added huge improvements to `/findings/metadata` and resource related filters for findings [(#7690)](https://github.com/prowler-cloud/prowler/pull/7690).
+- Added improvements to `/overviews` endpoints [(#7690)](https://github.com/prowler-cloud/prowler/pull/7690).
+- Added new queue to perform backfill background tasks [(#7690)](https://github.com/prowler-cloud/prowler/pull/7690).
+- Added new endpoints to retrieve latest findings and metadata [(#7743)](https://github.com/prowler-cloud/prowler/pull/7743).
+- Added export support for Prowler ThreatScore in M365 [(7783)](https://github.com/prowler-cloud/prowler/pull/7783)
+
+---
+
+## [v1.7.0] (Prowler v5.6.0)
+
+### Added
+
+- Added M365 as a new provider [(#7563)](https://github.com/prowler-cloud/prowler/pull/7563).
+- Added a `compliance/` folder and ZIPโexport functionality for all compliance reports.[(#7653)](https://github.com/prowler-cloud/prowler/pull/7653).
+- Added a new API endpoint to fetch and download any specific compliance file by name [(#7653)](https://github.com/prowler-cloud/prowler/pull/7653).
+
+---
+
+## [v1.6.0] (Prowler v5.5.0)
+
### Added
- Support for developing new integrations [(#7167)](https://github.com/prowler-cloud/prowler/pull/7167).
-- Support for read only replicas in the database [(#7210)](https://github.com/prowler-cloud/prowler/pull/7210).
+- HTTP Security Headers [(#7289)](https://github.com/prowler-cloud/prowler/pull/7289).
+- New endpoint to get the compliance overviews metadata [(#7333)](https://github.com/prowler-cloud/prowler/pull/7333).
+- Support for muted findings [(#7378)](https://github.com/prowler-cloud/prowler/pull/7378).
+- Added missing fields to API findings and resources [(#7318)](https://github.com/prowler-cloud/prowler/pull/7318).
+
+---
+
+## [v1.5.4] (Prowler v5.4.4)
+
+### Fixed
+- Fixed a bug with periodic tasks when trying to delete a provider ([#7466])(https://github.com/prowler-cloud/prowler/pull/7466).
+
+---
+
+## [v1.5.3] (Prowler v5.4.3)
+
+### Fixed
+- Added duplicated scheduled scans handling ([#7401])(https://github.com/prowler-cloud/prowler/pull/7401).
+- Added environment variable to configure the deletion task batch size ([#7423])(https://github.com/prowler-cloud/prowler/pull/7423).
+
+---
+
+## [v1.5.2] (Prowler v5.4.2)
+
+### Changed
+- Refactored deletion logic and implemented retry mechanism for deletion tasks [(#7349)](https://github.com/prowler-cloud/prowler/pull/7349).
+
+---
+
+## [v1.5.1] (Prowler v5.4.1)
+
+### Fixed
+- Added a handled response in case local files are missing [(#7183)](https://github.com/prowler-cloud/prowler/pull/7183).
+- Fixed a race condition when deleting export files after the S3 upload [(#7172)](https://github.com/prowler-cloud/prowler/pull/7172).
+- Handled exception when a provider has no secret in test connection [(#7283)](https://github.com/prowler-cloud/prowler/pull/7283).
---
diff --git a/api/Dockerfile b/api/Dockerfile
index 3569d003e7..8291b14295 100644
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -1,13 +1,33 @@
-FROM python:3.12.8-alpine3.20 AS build
+FROM python:3.12.10-slim-bookworm AS build
LABEL maintainer="https://github.com/prowler-cloud/api"
-# hadolint ignore=DL3018
-RUN apk --no-cache add gcc python3-dev musl-dev linux-headers curl-dev
+ARG POWERSHELL_VERSION=7.5.0
+ENV POWERSHELL_VERSION=${POWERSHELL_VERSION}
+
+# hadolint ignore=DL3008
+RUN apt-get update && apt-get install -y --no-install-recommends wget libicu72 \
+ && rm -rf /var/lib/apt/lists/*
+
+# Install PowerShell
+RUN ARCH=$(uname -m) && \
+ if [ "$ARCH" = "x86_64" ]; then \
+ wget --progress=dot:giga https://github.com/PowerShell/PowerShell/releases/download/v${POWERSHELL_VERSION}/powershell-${POWERSHELL_VERSION}-linux-x64.tar.gz -O /tmp/powershell.tar.gz ; \
+ elif [ "$ARCH" = "aarch64" ]; then \
+ wget --progress=dot:giga https://github.com/PowerShell/PowerShell/releases/download/v${POWERSHELL_VERSION}/powershell-${POWERSHELL_VERSION}-linux-arm64.tar.gz -O /tmp/powershell.tar.gz ; \
+ else \
+ echo "Unsupported architecture: $ARCH" && exit 1 ; \
+ fi && \
+ mkdir -p /opt/microsoft/powershell/7 && \
+ tar zxf /tmp/powershell.tar.gz -C /opt/microsoft/powershell/7 && \
+ chmod +x /opt/microsoft/powershell/7/pwsh && \
+ ln -s /opt/microsoft/powershell/7/pwsh /usr/bin/pwsh && \
+ rm /tmp/powershell.tar.gz
+
+# Add prowler user
+RUN addgroup --gid 1000 prowler && \
+ adduser --uid 1000 --gid 1000 --disabled-password --gecos "" prowler
-RUN apk --no-cache upgrade && \
- addgroup -g 1000 prowler && \
- adduser -D -u 1000 -G prowler prowler
USER prowler
WORKDIR /home/prowler
@@ -17,7 +37,7 @@ COPY pyproject.toml ./
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir poetry
-COPY src/backend/ ./backend/
+COPY src/backend/ ./backend/
ENV PATH="/home/prowler/.local/bin:$PATH"
@@ -27,18 +47,13 @@ RUN poetry install --no-root && \
COPY docker-entrypoint.sh ./docker-entrypoint.sh
+RUN poetry run python "$(poetry env info --path)/src/prowler/prowler/providers/m365/lib/powershell/m365_powershell.py"
+
WORKDIR /home/prowler/backend
# Development image
-# hadolint ignore=DL3006
FROM build AS dev
-USER 0
-# hadolint ignore=DL3018
-RUN apk --no-cache add curl vim
-
-USER prowler
-
ENTRYPOINT ["../docker-entrypoint.sh", "dev"]
# Production image
diff --git a/api/README.md b/api/README.md
index 063d8342f6..a1241372ca 100644
--- a/api/README.md
+++ b/api/README.md
@@ -235,6 +235,7 @@ To view the logs for any component (e.g., Django, Celery worker), you can use th
```console
docker logs -f $(docker ps --format "{{.Names}}" | grep 'api-')
+```
## Applying migrations
diff --git a/api/docker-entrypoint.sh b/api/docker-entrypoint.sh
index 7d7711a321..0dff279d08 100755
--- a/api/docker-entrypoint.sh
+++ b/api/docker-entrypoint.sh
@@ -28,7 +28,7 @@ start_prod_server() {
start_worker() {
echo "Starting the worker..."
- poetry run python -m celery -A config.celery worker -l "${DJANGO_LOGGING_LEVEL:-info}" -Q celery,scans,scan-reports,deletion -E --max-tasks-per-child 1
+ poetry run python -m celery -A config.celery worker -l "${DJANGO_LOGGING_LEVEL:-info}" -Q celery,scans,scan-reports,deletion,backfill -E --max-tasks-per-child 1
}
start_worker_beat() {
diff --git a/api/poetry.lock b/api/poetry.lock
index 8e5d3173d9..a71c16b14b 100644
--- a/api/poetry.lock
+++ b/api/poetry.lock
@@ -14,105 +14,105 @@ files = [
[[package]]
name = "aiohappyeyeballs"
-version = "2.4.6"
+version = "2.6.1"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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- {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
+ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+ {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
]
[[package]]
name = "aiohttp"
-version = "3.11.12"
+version = "3.11.18"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
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[[package]]
name = "anyio"
-version = "4.8.0"
+version = "4.9.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
groups = ["main"]
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typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
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trio = ["trio (>=0.26.1)"]
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@@ -237,34 +237,34 @@ files = [
[[package]]
name = "attrs"
-version = "25.1.0"
+version = "25.3.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
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[[package]]
name = "authlib"
-version = "1.4.1"
+version = "1.5.2"
description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
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@@ -311,14 +311,14 @@ files = [
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name = "azure-core"
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+version = "1.33.0"
description = "Microsoft Azure Core Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
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@@ -328,17 +328,18 @@ typing-extensions = ">=4.6.0"
[package.extras]
aio = ["aiohttp (>=3.0)"]
+tracing = ["opentelemetry-api (>=1.26,<2.0)"]
[[package]]
name = "azure-identity"
-version = "1.19.0"
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description = "Microsoft Azure Identity Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
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@@ -368,20 +369,21 @@ typing-extensions = ">=4.0.1"
[[package]]
name = "azure-mgmt-applicationinsights"
-version = "4.0.0"
+version = "4.1.0"
description = "Microsoft Azure Application Insights Management Client Library for Python"
optional = false
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groups = ["main"]
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[[package]]
name = "azure-mgmt-authorization"
@@ -420,31 +422,32 @@ typing-extensions = ">=4.6.0"
[[package]]
name = "azure-mgmt-containerregistry"
-version = "10.3.0"
+version = "12.0.0"
description = "Microsoft Azure Container Registry Client Library for Python"
optional = false
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[[package]]
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+version = "34.1.0"
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python-versions = ">=3.8"
groups = ["main"]
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[[package]]
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-version = "23.2.0"
+version = "23.3.0"
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optional = false
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]
[package.dependencies]
@@ -2126,12 +2144,14 @@ pyasn1-modules = ">=0.2.1"
rsa = ">=3.1.4,<5"
[package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
enterprise-cert = ["cryptography", "pyopenssl"]
-pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
[[package]]
name = "google-auth-httplib2"
@@ -2151,32 +2171,32 @@ httplib2 = ">=0.19.0"
[[package]]
name = "googleapis-common-protos"
-version = "1.66.0"
+version = "1.70.0"
description = "Common protobufs used in Google APIs"
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
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+protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
[package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+grpc = ["grpcio (>=1.44.0,<2.0.0)"]
[[package]]
name = "gprof2dot"
-version = "2024.6.6"
+version = "2025.4.14"
description = "Generate a dot graph from the output of several profilers."
optional = false
python-versions = ">=3.8"
groups = ["dev"]
files = [
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]
[[package]]
@@ -2217,14 +2237,14 @@ tornado = ["tornado (>=0.2)"]
[[package]]
name = "h11"
-version = "0.14.0"
+version = "0.16.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["main"]
files = [
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+ {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
]
[[package]]
@@ -2257,19 +2277,19 @@ files = [
[[package]]
name = "httpcore"
-version = "1.0.7"
+version = "1.0.9"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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[package.dependencies]
certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
@@ -2347,14 +2367,14 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
[[package]]
name = "importlib-metadata"
-version = "8.5.0"
+version = "8.6.1"
description = "Read metadata from Python packages"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["main"]
files = [
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[package.dependencies]
@@ -2366,7 +2386,7 @@ cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
enabler = ["pytest-enabler (>=2.2)"]
perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
type = ["pytest-mypy"]
[[package]]
@@ -2383,14 +2403,14 @@ files = [
[[package]]
name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
description = "brain-dead simple config-ini parsing"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["main", "dev"]
files = [
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]
[[package]]
@@ -2501,19 +2521,19 @@ referencing = ">=0.31.0"
[[package]]
name = "kombu"
-version = "5.4.2"
+version = "5.5.3"
description = "Messaging library for Python."
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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[package.dependencies]
amqp = ">=5.1.1,<6.0.0"
-tzdata = {version = "*", markers = "python_version >= \"3.9\""}
+tzdata = {version = ">=2025.2", markers = "python_version >= \"3.9\""}
vine = "5.1.0"
[package.extras]
@@ -2521,15 +2541,16 @@ azureservicebus = ["azure-servicebus (>=7.10.0)"]
azurestoragequeues = ["azure-identity (>=1.12.0)", "azure-storage-queue (>=12.6.0)"]
confluentkafka = ["confluent-kafka (>=2.2.0)"]
consul = ["python-consul2 (==0.1.5)"]
+gcpubsub = ["google-cloud-monitoring (>=2.16.0)", "google-cloud-pubsub (>=2.18.4)", "grpcio (==1.67.0)", "protobuf (==4.25.5)"]
librabbitmq = ["librabbitmq (>=2.0.0) ; python_version < \"3.11\""]
mongodb = ["pymongo (>=4.1.1)"]
msgpack = ["msgpack (==1.1.0)"]
pyro = ["pyro4 (==4.82)"]
qpid = ["qpid-python (>=0.26)", "qpid-tools (>=0.26)"]
-redis = ["redis (>=4.5.2,!=4.5.5,!=5.0.2)"]
-slmq = ["softlayer-messaging (>=1.0.3)"]
+redis = ["redis (>=4.5.2,!=4.5.5,!=5.0.2,<=5.2.1)"]
+slmq = ["softlayer_messaging (>=1.0.3)"]
sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
-sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5) ; sys_platform != \"win32\" and platform_python_implementation == \"CPython\"", "urllib3 (>=1.26.16)"]
+sqs = ["boto3 (>=1.26.143)", "urllib3 (>=1.26.16)"]
yaml = ["PyYAML (>=3.10)"]
zookeeper = ["kazoo (>=2.8.0)"]
@@ -2817,18 +2838,18 @@ microsoft-kiota-abstractions = ">=1.9.2,<1.10.0"
[[package]]
name = "msal"
-version = "1.31.1"
+version = "1.32.0"
description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
optional = false
python-versions = ">=3.7"
groups = ["main"]
files = [
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-cryptography = ">=2.5,<46"
+cryptography = ">=2.5,<47"
PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
requests = ">=2.0.0,<3"
@@ -2837,30 +2858,32 @@ broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform
[[package]]
name = "msal-extensions"
-version = "1.2.0"
+version = "1.3.1"
description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
groups = ["main"]
files = [
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msal = ">=1.29,<2"
-portalocker = ">=1.4,<3"
+
+[package.extras]
+portalocker = ["portalocker (>=1.4,<4)"]
[[package]]
name = "msgraph-core"
-version = "1.3.1"
+version = "1.3.3"
description = "Core component of the Microsoft Graph Python SDK"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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[package.dependencies]
@@ -2874,26 +2897,23 @@ dev = ["bumpver", "isort", "mypy", "pylint", "pytest", "yapf"]
[[package]]
name = "msgraph-sdk"
-version = "1.18.0"
+version = "1.23.0"
description = "The Microsoft Graph Python SDK"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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-microsoft-kiota-serialization-text = ">=1.0.0,<2.0.0"
-msgraph_core = ">=1.0.0"
+microsoft-kiota-serialization-form = ">=1.8.0,<2.0.0"
+microsoft-kiota-serialization-json = ">=1.8.0,<2.0.0"
+microsoft-kiota-serialization-multipart = ">=1.8.0,<2.0.0"
+microsoft-kiota-serialization-text = ">=1.8.0,<2.0.0"
+msgraph_core = ">=1.3.1"
[package.extras]
dev = ["bumpver", "isort", "mypy", "pylint", "pytest", "yapf"]
@@ -2922,104 +2942,116 @@ async = ["aiodns ; python_version >= \"3.5\"", "aiohttp (>=3.0) ; python_version
[[package]]
name = "multidict"
-version = "6.1.0"
+version = "6.4.3"
description = "multidict implementation"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["main"]
files = [
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name = "prowler"
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description = "Prowler is an Open Source security tool to perform AWS, GCP and Azure security best practices assessments, audits, incident response, continuous monitoring, hardening and forensics readiness. It contains hundreds of controls covering CIS, NIST 800, NIST CSF, CISA, RBI, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, GXP, AWS Well-Architected Framework Security Pillar, AWS Foundational Technical Review (FTR), ENS (Spanish National Security Scheme) and your custom security frameworks."
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python-versions = ">3.9.1,<3.13"
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[package.dependencies]
alive-progress = "3.2.0"
awsipranges = "0.3.3"
-azure-identity = "1.19.0"
+azure-identity = "1.21.0"
azure-keyvault-keys = "4.10.0"
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+azure-mgmt-applicationinsights = "4.1.0"
azure-mgmt-authorization = "4.0.0"
azure-mgmt-compute = "34.0.0"
-azure-mgmt-containerregistry = "10.3.0"
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+azure-mgmt-containerregistry = "12.0.0"
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azure-mgmt-cosmosdb = "9.7.0"
azure-mgmt-keyvault = "10.3.1"
azure-mgmt-monitor = "6.0.2"
azure-mgmt-network = "28.1.0"
azure-mgmt-rdbms = "10.1.0"
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azure-mgmt-search = "9.1.0"
azure-mgmt-security = "7.0.0"
azure-mgmt-sql = "3.0.1"
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+azure-mgmt-storage = "22.1.1"
azure-mgmt-subscription = "3.1.1"
azure-mgmt-web = "8.0.0"
azure-storage-blob = "12.24.1"
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dash = "2.18.2"
dash-bootstrap-components = "1.6.0"
detect-secrets = "1.5.0"
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google-auth-httplib2 = ">=0.1,<0.3"
jsonschema = "4.23.0"
kubernetes = "32.0.1"
microsoft-kiota-abstractions = "1.9.2"
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numpy = "2.0.2"
pandas = "2.2.3"
py-ocsf-models = "0.3.1"
pydantic = "1.10.21"
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pytz = "2025.1"
schema = "0.7.7"
shodan = "1.31.0"
slack-sdk = "3.34.0"
tabulate = "0.9.0"
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type = "git"
url = "https://github.com/prowler-cloud/prowler.git"
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+ {file = "yarl-1.20.0.tar.gz", hash = "sha256:686d51e51ee5dfe62dec86e4866ee0e9ed66df700d55c828a615640adc885307"},
]
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
-propcache = ">=0.2.0"
+propcache = ">=0.2.1"
[[package]]
name = "zipp"
@@ -5425,4 +5483,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.11,<3.13"
-content-hash = "5892eb6b702f29a7eebff3f9dc899ea8d78cac622aa8f299ef4c662df8f5b51d"
+content-hash = "051924735a7069c8393fefc18fc2c310b196ea24ad41b8c984dc5852683d0407"
diff --git a/api/pyproject.toml b/api/pyproject.toml
index fa9c14148a..19190f8893 100644
--- a/api/pyproject.toml
+++ b/api/pyproject.toml
@@ -7,7 +7,8 @@ authors = [{name = "Prowler Engineering", email = "engineering@prowler.com"}]
dependencies = [
"celery[pytest] (>=5.4.0,<6.0.0)",
"dj-rest-auth[with_social,jwt] (==7.0.1)",
- "django==5.1.7",
+ "django==5.1.8",
+ "django-allauth==65.4.1",
"django-celery-beat (>=2.7.0,<3.0.0)",
"django-celery-results (>=2.5.1,<3.0.0)",
"django-cors-headers==4.4.0",
@@ -34,7 +35,7 @@ name = "prowler-api"
package-mode = false
# Needed for the SDK compatibility
requires-python = ">=3.11,<3.13"
-version = "1.5.0"
+version = "1.8.1"
[project.scripts]
celery = "src.backend.config.settings.celery"
@@ -45,6 +46,7 @@ coverage = "7.5.4"
django-silk = "5.3.2"
docker = "7.1.0"
freezegun = "1.5.1"
+marshmallow = ">=3.15.0,<4.0.0"
mypy = "1.10.1"
pylint = "3.2.5"
pytest = "8.2.2"
diff --git a/api/src/backend/api/adapters.py b/api/src/backend/api/adapters.py
index 9a8cb2f044..7ccda0336c 100644
--- a/api/src/backend/api/adapters.py
+++ b/api/src/backend/api/adapters.py
@@ -30,6 +30,10 @@ class ProwlerSocialAccountAdapter(DefaultSocialAccountAdapter):
with transaction.atomic(using=MainRouter.admin_db):
user = super().save_user(request, sociallogin, form)
user.save(using=MainRouter.admin_db)
+ social_account_name = sociallogin.account.extra_data.get("name")
+ if social_account_name:
+ user.name = social_account_name
+ user.save(using=MainRouter.admin_db)
tenant = Tenant.objects.using(MainRouter.admin_db).create(
name=f"{user.email.split('@')[0]} default tenant"
diff --git a/api/src/backend/api/compliance.py b/api/src/backend/api/compliance.py
index ae1b89a4a9..96b5e313f3 100644
--- a/api/src/backend/api/compliance.py
+++ b/api/src/backend/api/compliance.py
@@ -1,12 +1,38 @@
from types import MappingProxyType
+from api.models import Provider
+from prowler.config.config import get_available_compliance_frameworks
from prowler.lib.check.compliance_models import Compliance
from prowler.lib.check.models import CheckMetadata
-from api.models import Provider
-
PROWLER_COMPLIANCE_OVERVIEW_TEMPLATE = {}
PROWLER_CHECKS = {}
+AVAILABLE_COMPLIANCE_FRAMEWORKS = {}
+
+
+def get_compliance_frameworks(provider_type: Provider.ProviderChoices) -> list[str]:
+ """
+ Retrieve and cache the list of available compliance frameworks for a specific cloud provider.
+
+ This function lazily loads and caches the available compliance frameworks (e.g., CIS, MITRE, ISO)
+ for each provider type (AWS, Azure, GCP, etc.) on first access. Subsequent calls for the same
+ provider will return the cached result.
+
+ Args:
+ provider_type (Provider.ProviderChoices): The cloud provider type for which to retrieve
+ available compliance frameworks (e.g., "aws", "azure", "gcp", "m365").
+
+ Returns:
+ list[str]: A list of framework identifiers (e.g., "cis_1.4_aws", "mitre_attack_azure") available
+ for the given provider.
+ """
+ global AVAILABLE_COMPLIANCE_FRAMEWORKS
+ if provider_type not in AVAILABLE_COMPLIANCE_FRAMEWORKS:
+ AVAILABLE_COMPLIANCE_FRAMEWORKS[provider_type] = (
+ get_available_compliance_frameworks(provider_type)
+ )
+
+ return AVAILABLE_COMPLIANCE_FRAMEWORKS[provider_type]
def get_prowler_provider_checks(provider_type: Provider.ProviderChoices):
diff --git a/api/src/backend/api/db_utils.py b/api/src/backend/api/db_utils.py
index a7dfee863f..ca98b6b592 100644
--- a/api/src/backend/api/db_utils.py
+++ b/api/src/backend/api/db_utils.py
@@ -6,6 +6,7 @@ from datetime import datetime, timedelta, timezone
from django.conf import settings
from django.contrib.auth.models import BaseUserManager
from django.db import connection, models, transaction
+from django_celery_beat.models import PeriodicTask
from psycopg2 import connect as psycopg2_connect
from psycopg2.extensions import AsIs, new_type, register_adapter, register_type
from rest_framework_json_api.serializers import ValidationError
@@ -105,11 +106,12 @@ def generate_random_token(length: int = 14, symbols: str | None = None) -> str:
return "".join(secrets.choice(symbols or _symbols) for _ in range(length))
-def batch_delete(queryset, batch_size=5000):
+def batch_delete(tenant_id, queryset, batch_size=settings.DJANGO_DELETION_BATCH_SIZE):
"""
Deletes objects in batches and returns the total number of deletions and a summary.
Args:
+ tenant_id (str): Tenant ID the queryset belongs to.
queryset (QuerySet): The queryset of objects to delete.
batch_size (int): The number of objects to delete in each batch.
@@ -120,15 +122,16 @@ def batch_delete(queryset, batch_size=5000):
deletion_summary = {}
while True:
- # Get a batch of IDs to delete
- batch_ids = set(
- queryset.values_list("id", flat=True).order_by("id")[:batch_size]
- )
- if not batch_ids:
- # No more objects to delete
- break
+ with rls_transaction(tenant_id, POSTGRES_TENANT_VAR):
+ # Get a batch of IDs to delete
+ batch_ids = set(
+ queryset.values_list("id", flat=True).order_by("id")[:batch_size]
+ )
+ if not batch_ids:
+ # No more objects to delete
+ break
- deleted_count, deleted_info = queryset.filter(id__in=batch_ids).delete()
+ deleted_count, deleted_info = queryset.filter(id__in=batch_ids).delete()
total_deleted += deleted_count
for model_label, count in deleted_info.items():
@@ -137,6 +140,18 @@ def batch_delete(queryset, batch_size=5000):
return total_deleted, deletion_summary
+def delete_related_daily_task(provider_id: str):
+ """
+ Deletes the periodic task associated with a specific provider.
+
+ Args:
+ provider_id (str): The unique identifier for the provider
+ whose related periodic task should be deleted.
+ """
+ task_name = f"scan-perform-scheduled-{provider_id}"
+ PeriodicTask.objects.filter(name=task_name).delete()
+
+
# Postgres Enums
@@ -212,6 +227,77 @@ def register_enum(apps, schema_editor, enum_class): # noqa: F841
register_adapter(enum_class, enum_adapter)
+def create_index_on_partitions(
+ apps, # noqa: F841
+ schema_editor,
+ parent_table: str,
+ index_name: str,
+ columns: str,
+ method: str = "BTREE",
+ where: str = "",
+):
+ """
+ Create an index on every existing partition of `parent_table`.
+
+ Args:
+ parent_table: The name of the root table (e.g. "findings").
+ index_name: A short name for the index (will be prefixed per-partition).
+ columns: The parenthesized column list, e.g. "tenant_id, scan_id, status".
+ method: The index methodโBTREE, GIN, etc. Defaults to BTREE.
+ where: Optional WHERE clause (without the leading "WHERE"), e.g. "status = 'FAIL'".
+ """
+ with connection.cursor() as cursor:
+ cursor.execute(
+ """
+ SELECT inhrelid::regclass::text
+ FROM pg_inherits
+ WHERE inhparent = %s::regclass
+ """,
+ [parent_table],
+ )
+ partitions = [row[0] for row in cursor.fetchall()]
+
+ where_sql = f" WHERE {where}" if where else ""
+ for partition in partitions:
+ idx_name = f"{partition.replace('.', '_')}_{index_name}"
+ sql = (
+ f"CREATE INDEX CONCURRENTLY IF NOT EXISTS {idx_name} "
+ f"ON {partition} USING {method} ({columns})"
+ f"{where_sql};"
+ )
+ schema_editor.execute(sql)
+
+
+def drop_index_on_partitions(
+ apps, # noqa: F841
+ schema_editor,
+ parent_table: str,
+ index_name: str,
+):
+ """
+ Drop the per-partition indexes that were created by create_index_on_partitions.
+
+ Args:
+ parent_table: The name of the root table (e.g. "findings").
+ index_name: The same short name used when creating them.
+ """
+ with connection.cursor() as cursor:
+ cursor.execute(
+ """
+ SELECT inhrelid::regclass::text
+ FROM pg_inherits
+ WHERE inhparent = %s::regclass
+ """,
+ [parent_table],
+ )
+ partitions = [row[0] for row in cursor.fetchall()]
+
+ for partition in partitions:
+ idx_name = f"{partition.replace('.', '_')}_{index_name}"
+ sql = f"DROP INDEX CONCURRENTLY IF EXISTS {idx_name};"
+ schema_editor.execute(sql)
+
+
# Postgres enum definition for member role
diff --git a/api/src/backend/api/filters.py b/api/src/backend/api/filters.py
index dbd73b41db..9e95016e1d 100644
--- a/api/src/backend/api/filters.py
+++ b/api/src/backend/api/filters.py
@@ -81,6 +81,114 @@ class ChoiceInFilter(BaseInFilter, ChoiceFilter):
pass
+class CommonFindingFilters(FilterSet):
+ # We filter providers from the scan in findings
+ provider = UUIDFilter(field_name="scan__provider__id", lookup_expr="exact")
+ provider__in = UUIDInFilter(field_name="scan__provider__id", lookup_expr="in")
+ provider_type = ChoiceFilter(
+ choices=Provider.ProviderChoices.choices, field_name="scan__provider__provider"
+ )
+ provider_type__in = ChoiceInFilter(
+ choices=Provider.ProviderChoices.choices, field_name="scan__provider__provider"
+ )
+ provider_uid = CharFilter(field_name="scan__provider__uid", lookup_expr="exact")
+ provider_uid__in = CharInFilter(field_name="scan__provider__uid", lookup_expr="in")
+ provider_uid__icontains = CharFilter(
+ field_name="scan__provider__uid", lookup_expr="icontains"
+ )
+ provider_alias = CharFilter(field_name="scan__provider__alias", lookup_expr="exact")
+ provider_alias__in = CharInFilter(
+ field_name="scan__provider__alias", lookup_expr="in"
+ )
+ provider_alias__icontains = CharFilter(
+ field_name="scan__provider__alias", lookup_expr="icontains"
+ )
+
+ updated_at = DateFilter(field_name="updated_at", lookup_expr="date")
+
+ uid = CharFilter(field_name="uid")
+ delta = ChoiceFilter(choices=Finding.DeltaChoices.choices)
+ status = ChoiceFilter(choices=StatusChoices.choices)
+ severity = ChoiceFilter(choices=SeverityChoices)
+ impact = ChoiceFilter(choices=SeverityChoices)
+ muted = BooleanFilter(
+ help_text="If this filter is not provided, muted and non-muted findings will be returned."
+ )
+
+ resources = UUIDInFilter(field_name="resource__id", lookup_expr="in")
+
+ region = CharFilter(method="filter_resource_region")
+ region__in = CharInFilter(field_name="resource_regions", lookup_expr="overlap")
+ region__icontains = CharFilter(
+ field_name="resource_regions", lookup_expr="icontains"
+ )
+
+ service = CharFilter(method="filter_resource_service")
+ service__in = CharInFilter(field_name="resource_services", lookup_expr="overlap")
+ service__icontains = CharFilter(
+ field_name="resource_services", lookup_expr="icontains"
+ )
+
+ resource_uid = CharFilter(field_name="resources__uid")
+ resource_uid__in = CharInFilter(field_name="resources__uid", lookup_expr="in")
+ resource_uid__icontains = CharFilter(
+ field_name="resources__uid", lookup_expr="icontains"
+ )
+
+ resource_name = CharFilter(field_name="resources__name")
+ resource_name__in = CharInFilter(field_name="resources__name", lookup_expr="in")
+ resource_name__icontains = CharFilter(
+ field_name="resources__name", lookup_expr="icontains"
+ )
+
+ resource_type = CharFilter(method="filter_resource_type")
+ resource_type__in = CharInFilter(field_name="resource_types", lookup_expr="overlap")
+ resource_type__icontains = CharFilter(
+ field_name="resources__type", lookup_expr="icontains"
+ )
+
+ # Temporarily disabled until we implement tag filtering in the UI
+ # resource_tag_key = CharFilter(field_name="resources__tags__key")
+ # resource_tag_key__in = CharInFilter(
+ # field_name="resources__tags__key", lookup_expr="in"
+ # )
+ # resource_tag_key__icontains = CharFilter(
+ # field_name="resources__tags__key", lookup_expr="icontains"
+ # )
+ # resource_tag_value = CharFilter(field_name="resources__tags__value")
+ # resource_tag_value__in = CharInFilter(
+ # field_name="resources__tags__value", lookup_expr="in"
+ # )
+ # resource_tag_value__icontains = CharFilter(
+ # field_name="resources__tags__value", lookup_expr="icontains"
+ # )
+ # resource_tags = CharInFilter(
+ # method="filter_resource_tag",
+ # lookup_expr="in",
+ # help_text="Filter by resource tags `key:value` pairs.\nMultiple values may be "
+ # "separated by commas.",
+ # )
+
+ def filter_resource_service(self, queryset, name, value):
+ return queryset.filter(resource_services__contains=[value])
+
+ def filter_resource_region(self, queryset, name, value):
+ return queryset.filter(resource_regions__contains=[value])
+
+ def filter_resource_type(self, queryset, name, value):
+ return queryset.filter(resource_types__contains=[value])
+
+ def filter_resource_tag(self, queryset, name, value):
+ overall_query = Q()
+ for key_value_pair in value:
+ tag_key, tag_value = key_value_pair.split(":", 1)
+ overall_query |= Q(
+ resources__tags__key__icontains=tag_key,
+ resources__tags__value__icontains=tag_value,
+ )
+ return queryset.filter(overall_query).distinct()
+
+
class TenantFilter(FilterSet):
inserted_at = DateFilter(field_name="inserted_at", lookup_expr="date")
updated_at = DateFilter(field_name="updated_at", lookup_expr="date")
@@ -257,91 +365,7 @@ class ResourceFilter(ProviderRelationshipFilterSet):
return queryset.filter(tags__text_search=value)
-class FindingFilter(FilterSet):
- # We filter providers from the scan in findings
- provider = UUIDFilter(field_name="scan__provider__id", lookup_expr="exact")
- provider__in = UUIDInFilter(field_name="scan__provider__id", lookup_expr="in")
- provider_type = ChoiceFilter(
- choices=Provider.ProviderChoices.choices, field_name="scan__provider__provider"
- )
- provider_type__in = ChoiceInFilter(
- choices=Provider.ProviderChoices.choices, field_name="scan__provider__provider"
- )
- provider_uid = CharFilter(field_name="scan__provider__uid", lookup_expr="exact")
- provider_uid__in = CharInFilter(field_name="scan__provider__uid", lookup_expr="in")
- provider_uid__icontains = CharFilter(
- field_name="scan__provider__uid", lookup_expr="icontains"
- )
- provider_alias = CharFilter(field_name="scan__provider__alias", lookup_expr="exact")
- provider_alias__in = CharInFilter(
- field_name="scan__provider__alias", lookup_expr="in"
- )
- provider_alias__icontains = CharFilter(
- field_name="scan__provider__alias", lookup_expr="icontains"
- )
-
- updated_at = DateFilter(field_name="updated_at", lookup_expr="date")
-
- uid = CharFilter(field_name="uid")
- delta = ChoiceFilter(choices=Finding.DeltaChoices.choices)
- status = ChoiceFilter(choices=StatusChoices.choices)
- severity = ChoiceFilter(choices=SeverityChoices)
- impact = ChoiceFilter(choices=SeverityChoices)
-
- resources = UUIDInFilter(field_name="resource__id", lookup_expr="in")
-
- region = CharFilter(field_name="resources__region")
- region__in = CharInFilter(field_name="resources__region", lookup_expr="in")
- region__icontains = CharFilter(
- field_name="resources__region", lookup_expr="icontains"
- )
-
- service = CharFilter(field_name="resources__service")
- service__in = CharInFilter(field_name="resources__service", lookup_expr="in")
- service__icontains = CharFilter(
- field_name="resources__service", lookup_expr="icontains"
- )
-
- resource_uid = CharFilter(field_name="resources__uid")
- resource_uid__in = CharInFilter(field_name="resources__uid", lookup_expr="in")
- resource_uid__icontains = CharFilter(
- field_name="resources__uid", lookup_expr="icontains"
- )
-
- resource_name = CharFilter(field_name="resources__name")
- resource_name__in = CharInFilter(field_name="resources__name", lookup_expr="in")
- resource_name__icontains = CharFilter(
- field_name="resources__name", lookup_expr="icontains"
- )
-
- resource_type = CharFilter(field_name="resources__type")
- resource_type__in = CharInFilter(field_name="resources__type", lookup_expr="in")
- resource_type__icontains = CharFilter(
- field_name="resources__type", lookup_expr="icontains"
- )
-
- # Temporarily disabled until we implement tag filtering in the UI
- # resource_tag_key = CharFilter(field_name="resources__tags__key")
- # resource_tag_key__in = CharInFilter(
- # field_name="resources__tags__key", lookup_expr="in"
- # )
- # resource_tag_key__icontains = CharFilter(
- # field_name="resources__tags__key", lookup_expr="icontains"
- # )
- # resource_tag_value = CharFilter(field_name="resources__tags__value")
- # resource_tag_value__in = CharInFilter(
- # field_name="resources__tags__value", lookup_expr="in"
- # )
- # resource_tag_value__icontains = CharFilter(
- # field_name="resources__tags__value", lookup_expr="icontains"
- # )
- # resource_tags = CharInFilter(
- # method="filter_resource_tag",
- # lookup_expr="in",
- # help_text="Filter by resource tags `key:value` pairs.\nMultiple values may be "
- # "separated by commas.",
- # )
-
+class FindingFilter(CommonFindingFilters):
scan = UUIDFilter(method="filter_scan_id")
scan__in = UUIDInFilter(method="filter_scan_id_in")
@@ -382,6 +406,15 @@ class FindingFilter(FilterSet):
},
}
+ def filter_resource_type(self, queryset, name, value):
+ return queryset.filter(resource_types__contains=[value])
+
+ def filter_resource_region(self, queryset, name, value):
+ return queryset.filter(resource_regions__contains=[value])
+
+ def filter_resource_service(self, queryset, name, value):
+ return queryset.filter(resource_services__contains=[value])
+
def filter_queryset(self, queryset):
if not (self.data.get("scan") or self.data.get("scan__in")) and not (
self.data.get("inserted_at")
@@ -500,16 +533,6 @@ class FindingFilter(FilterSet):
return queryset.filter(id__lt=end)
- def filter_resource_tag(self, queryset, name, value):
- overall_query = Q()
- for key_value_pair in value:
- tag_key, tag_value = key_value_pair.split(":", 1)
- overall_query |= Q(
- resources__tags__key__icontains=tag_key,
- resources__tags__value__icontains=tag_value,
- )
- return queryset.filter(overall_query).distinct()
-
@staticmethod
def maybe_date_to_datetime(value):
dt = value
@@ -518,6 +541,31 @@ class FindingFilter(FilterSet):
return dt
+class LatestFindingFilter(CommonFindingFilters):
+ class Meta:
+ model = Finding
+ fields = {
+ "id": ["exact", "in"],
+ "uid": ["exact", "in"],
+ "delta": ["exact", "in"],
+ "status": ["exact", "in"],
+ "severity": ["exact", "in"],
+ "impact": ["exact", "in"],
+ "check_id": ["exact", "in", "icontains"],
+ }
+ filter_overrides = {
+ FindingDeltaEnumField: {
+ "filter_class": CharFilter,
+ },
+ StatusEnumField: {
+ "filter_class": CharFilter,
+ },
+ SeverityEnumField: {
+ "filter_class": CharFilter,
+ },
+ }
+
+
class ProviderSecretFilter(FilterSet):
inserted_at = DateFilter(field_name="inserted_at", lookup_expr="date")
updated_at = DateFilter(field_name="updated_at", lookup_expr="date")
@@ -614,12 +662,6 @@ class ScanSummaryFilter(FilterSet):
field_name="scan__provider__provider", choices=Provider.ProviderChoices.choices
)
region = CharFilter(field_name="region")
- muted_findings = BooleanFilter(method="filter_muted_findings")
-
- def filter_muted_findings(self, queryset, name, value):
- if not value:
- return queryset.exclude(muted__gt=0)
- return queryset
class Meta:
model = ScanSummary
@@ -630,8 +672,6 @@ class ScanSummaryFilter(FilterSet):
class ServiceOverviewFilter(ScanSummaryFilter):
- muted_findings = None
-
def is_valid(self):
# Check if at least one of the inserted_at filters is present
inserted_at_filters = [
diff --git a/api/src/backend/api/management/commands/findings.py b/api/src/backend/api/management/commands/findings.py
index f81f8012a3..e62f8f8e8e 100644
--- a/api/src/backend/api/management/commands/findings.py
+++ b/api/src/backend/api/management/commands/findings.py
@@ -12,6 +12,7 @@ from api.models import (
Provider,
Resource,
ResourceFindingMapping,
+ ResourceScanSummary,
Scan,
StatusChoices,
)
@@ -133,6 +134,7 @@ class Command(BaseCommand):
region=random.choice(possible_regions),
service=random.choice(possible_services),
type=random.choice(possible_types),
+ inserted_at="2024-10-01T00:00:00Z",
)
)
@@ -181,6 +183,10 @@ class Command(BaseCommand):
"servicename": assigned_resource.service,
"resourcetype": assigned_resource.type,
},
+ resource_types=[assigned_resource.type],
+ resource_regions=[assigned_resource.region],
+ resource_services=[assigned_resource.service],
+ inserted_at="2024-10-01T00:00:00Z",
)
)
@@ -197,12 +203,22 @@ class Command(BaseCommand):
# Create ResourceFindingMapping
mappings = []
- for index, f in enumerate(findings):
+ scan_resource_cache: set[tuple] = set()
+ for index, finding_instance in enumerate(findings):
+ resource_instance = resources[findings_resources_mapping[index]]
mappings.append(
ResourceFindingMapping(
tenant_id=tenant_id,
- resource=resources[findings_resources_mapping[index]],
- finding=f,
+ resource=resource_instance,
+ finding=finding_instance,
+ )
+ )
+ scan_resource_cache.add(
+ (
+ str(resource_instance.id),
+ resource_instance.service,
+ resource_instance.region,
+ resource_instance.type,
)
)
@@ -220,6 +236,38 @@ class Command(BaseCommand):
"Resource-finding mappings created successfully.\n\n"
)
)
+
+ with rls_transaction(tenant_id):
+ scan.progress = 99
+ scan.save()
+
+ self.stdout.write(self.style.WARNING("Creating finding filter values..."))
+ resource_scan_summaries = [
+ ResourceScanSummary(
+ tenant_id=tenant_id,
+ scan_id=str(scan.id),
+ resource_id=resource_id,
+ service=service,
+ region=region,
+ resource_type=resource_type,
+ )
+ for resource_id, service, region, resource_type in scan_resource_cache
+ ]
+ num_batches = ceil(len(resource_scan_summaries) / batch_size)
+ with rls_transaction(tenant_id):
+ for i in tqdm(
+ range(0, len(resource_scan_summaries), batch_size),
+ total=num_batches,
+ ):
+ with rls_transaction(tenant_id):
+ ResourceScanSummary.objects.bulk_create(
+ resource_scan_summaries[i : i + batch_size],
+ ignore_conflicts=True,
+ )
+
+ self.stdout.write(
+ self.style.SUCCESS("Finding filter values created successfully.\n\n")
+ )
except Exception as e:
self.stdout.write(self.style.ERROR(f"Failed to populate test data: {e}"))
scan_state = "failed"
diff --git a/api/src/backend/api/migrations/0015_finding_muted.py b/api/src/backend/api/migrations/0015_finding_muted.py
new file mode 100644
index 0000000000..3cb20f871b
--- /dev/null
+++ b/api/src/backend/api/migrations/0015_finding_muted.py
@@ -0,0 +1,26 @@
+# Generated by Django 5.1.5 on 2025-03-25 11:29
+
+from django.db import migrations, models
+
+import api.db_utils
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0014_integrations"),
+ ]
+
+ operations = [
+ migrations.AddField(
+ model_name="finding",
+ name="muted",
+ field=models.BooleanField(default=False),
+ ),
+ migrations.AlterField(
+ model_name="finding",
+ name="status",
+ field=api.db_utils.StatusEnumField(
+ choices=[("FAIL", "Fail"), ("PASS", "Pass"), ("MANUAL", "Manual")]
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0016_finding_compliance_resource_details_and_more.py b/api/src/backend/api/migrations/0016_finding_compliance_resource_details_and_more.py
new file mode 100644
index 0000000000..0d0c5b9ca2
--- /dev/null
+++ b/api/src/backend/api/migrations/0016_finding_compliance_resource_details_and_more.py
@@ -0,0 +1,32 @@
+# Generated by Django 5.1.5 on 2025-03-31 10:46
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0015_finding_muted"),
+ ]
+
+ operations = [
+ migrations.AddField(
+ model_name="finding",
+ name="compliance",
+ field=models.JSONField(blank=True, default=dict, null=True),
+ ),
+ migrations.AddField(
+ model_name="resource",
+ name="details",
+ field=models.TextField(blank=True, null=True),
+ ),
+ migrations.AddField(
+ model_name="resource",
+ name="metadata",
+ field=models.TextField(blank=True, null=True),
+ ),
+ migrations.AddField(
+ model_name="resource",
+ name="partition",
+ field=models.TextField(blank=True, null=True),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0017_m365_provider.py b/api/src/backend/api/migrations/0017_m365_provider.py
new file mode 100644
index 0000000000..62817560c5
--- /dev/null
+++ b/api/src/backend/api/migrations/0017_m365_provider.py
@@ -0,0 +1,32 @@
+# Generated by Django 5.1.7 on 2025-04-16 08:47
+
+from django.db import migrations
+
+import api.db_utils
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0016_finding_compliance_resource_details_and_more"),
+ ]
+
+ operations = [
+ migrations.AlterField(
+ model_name="provider",
+ name="provider",
+ field=api.db_utils.ProviderEnumField(
+ choices=[
+ ("aws", "AWS"),
+ ("azure", "Azure"),
+ ("gcp", "GCP"),
+ ("kubernetes", "Kubernetes"),
+ ("m365", "M365"),
+ ],
+ default="aws",
+ ),
+ ),
+ migrations.RunSQL(
+ "ALTER TYPE provider ADD VALUE IF NOT EXISTS 'm365';",
+ reverse_sql=migrations.RunSQL.noop,
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0018_resource_scan_summaries.py b/api/src/backend/api/migrations/0018_resource_scan_summaries.py
new file mode 100644
index 0000000000..e9e2ffbe69
--- /dev/null
+++ b/api/src/backend/api/migrations/0018_resource_scan_summaries.py
@@ -0,0 +1,81 @@
+# Generated by Django 5.1.7 on 2025-05-05 10:01
+
+import uuid
+
+import django.db.models.deletion
+import uuid6
+from django.db import migrations, models
+
+import api.rls
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0017_m365_provider"),
+ ]
+
+ operations = [
+ migrations.CreateModel(
+ name="ResourceScanSummary",
+ fields=[
+ (
+ "id",
+ models.BigAutoField(
+ auto_created=True,
+ primary_key=True,
+ serialize=False,
+ verbose_name="ID",
+ ),
+ ),
+ ("scan_id", models.UUIDField(db_index=True, default=uuid6.uuid7)),
+ ("resource_id", models.UUIDField(db_index=True, default=uuid.uuid4)),
+ ("service", models.CharField(max_length=100)),
+ ("region", models.CharField(max_length=100)),
+ ("resource_type", models.CharField(max_length=100)),
+ (
+ "tenant",
+ models.ForeignKey(
+ on_delete=django.db.models.deletion.CASCADE, to="api.tenant"
+ ),
+ ),
+ ],
+ options={
+ "db_table": "resource_scan_summaries",
+ "indexes": [
+ models.Index(
+ fields=["tenant_id", "scan_id", "service"],
+ name="rss_tenant_scan_svc_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "region"],
+ name="rss_tenant_scan_reg_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "resource_type"],
+ name="rss_tenant_scan_type_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "region", "service"],
+ name="rss_tenant_scan_reg_svc_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "service", "resource_type"],
+ name="rss_tenant_scan_svc_type_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "region", "resource_type"],
+ name="rss_tenant_scan_reg_type_idx",
+ ),
+ ],
+ "unique_together": {("tenant_id", "scan_id", "resource_id")},
+ },
+ ),
+ migrations.AddConstraint(
+ model_name="resourcescansummary",
+ constraint=api.rls.RowLevelSecurityConstraint(
+ "tenant_id",
+ name="rls_on_resourcescansummary",
+ statements=["SELECT", "INSERT", "UPDATE", "DELETE"],
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0019_finding_denormalize_resource_fields.py b/api/src/backend/api/migrations/0019_finding_denormalize_resource_fields.py
new file mode 100644
index 0000000000..837b741223
--- /dev/null
+++ b/api/src/backend/api/migrations/0019_finding_denormalize_resource_fields.py
@@ -0,0 +1,42 @@
+import django.contrib.postgres.fields
+import django.contrib.postgres.indexes
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0018_resource_scan_summaries"),
+ ]
+
+ operations = [
+ migrations.AddField(
+ model_name="finding",
+ name="resource_regions",
+ field=django.contrib.postgres.fields.ArrayField(
+ base_field=models.CharField(max_length=100),
+ blank=True,
+ null=True,
+ size=None,
+ ),
+ ),
+ migrations.AddField(
+ model_name="finding",
+ name="resource_services",
+ field=django.contrib.postgres.fields.ArrayField(
+ base_field=models.CharField(max_length=100),
+ blank=True,
+ null=True,
+ size=None,
+ ),
+ ),
+ migrations.AddField(
+ model_name="finding",
+ name="resource_types",
+ field=django.contrib.postgres.fields.ArrayField(
+ base_field=models.CharField(max_length=100),
+ blank=True,
+ null=True,
+ size=None,
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0020_findings_new_performance_indexes_partitions.py b/api/src/backend/api/migrations/0020_findings_new_performance_indexes_partitions.py
new file mode 100644
index 0000000000..eef7e10b99
--- /dev/null
+++ b/api/src/backend/api/migrations/0020_findings_new_performance_indexes_partitions.py
@@ -0,0 +1,86 @@
+from functools import partial
+
+from django.db import migrations
+
+from api.db_utils import create_index_on_partitions, drop_index_on_partitions
+
+
+class Migration(migrations.Migration):
+ atomic = False
+
+ dependencies = [
+ ("api", "0019_finding_denormalize_resource_fields"),
+ ]
+
+ operations = [
+ migrations.RunPython(
+ partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_service_idx",
+ columns="resource_services",
+ method="GIN",
+ ),
+ reverse_code=partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_service_idx",
+ ),
+ ),
+ migrations.RunPython(
+ partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_region_idx",
+ columns="resource_regions",
+ method="GIN",
+ ),
+ reverse_code=partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_region_idx",
+ ),
+ ),
+ migrations.RunPython(
+ partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_rtype_idx",
+ columns="resource_types",
+ method="GIN",
+ ),
+ reverse_code=partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="gin_find_rtype_idx",
+ ),
+ ),
+ migrations.RunPython(
+ partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="findings_uid_idx",
+ ),
+ reverse_code=partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="findings_uid_idx",
+ columns="uid",
+ method="BTREE",
+ ),
+ ),
+ migrations.RunPython(
+ partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="findings_filter_idx",
+ ),
+ reverse_code=partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="findings_filter_idx",
+ columns="scan_id, impact, severity, status, check_id, delta",
+ method="BTREE",
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0021_findings_new_performance_indexes_parent.py b/api/src/backend/api/migrations/0021_findings_new_performance_indexes_parent.py
new file mode 100644
index 0000000000..3165af9030
--- /dev/null
+++ b/api/src/backend/api/migrations/0021_findings_new_performance_indexes_parent.py
@@ -0,0 +1,37 @@
+import django.contrib.postgres.indexes
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0020_findings_new_performance_indexes_partitions"),
+ ]
+
+ operations = [
+ migrations.AddIndex(
+ model_name="finding",
+ index=django.contrib.postgres.indexes.GinIndex(
+ fields=["resource_services"], name="gin_find_service_idx"
+ ),
+ ),
+ migrations.AddIndex(
+ model_name="finding",
+ index=django.contrib.postgres.indexes.GinIndex(
+ fields=["resource_regions"], name="gin_find_region_idx"
+ ),
+ ),
+ migrations.AddIndex(
+ model_name="finding",
+ index=django.contrib.postgres.indexes.GinIndex(
+ fields=["resource_types"], name="gin_find_rtype_idx"
+ ),
+ ),
+ migrations.RemoveIndex(
+ model_name="finding",
+ name="findings_uid_idx",
+ ),
+ migrations.RemoveIndex(
+ model_name="finding",
+ name="findings_filter_idx",
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0022_scan_summaries_performance_indexes.py b/api/src/backend/api/migrations/0022_scan_summaries_performance_indexes.py
new file mode 100644
index 0000000000..d56f310b8f
--- /dev/null
+++ b/api/src/backend/api/migrations/0022_scan_summaries_performance_indexes.py
@@ -0,0 +1,38 @@
+# Generated by Django 5.1.8 on 2025-05-12 10:04
+
+from django.contrib.postgres.operations import AddIndexConcurrently
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+ atomic = False
+
+ dependencies = [
+ ("api", "0021_findings_new_performance_indexes_parent"),
+ ("django_celery_beat", "0019_alter_periodictasks_options"),
+ ]
+
+ operations = [
+ AddIndexConcurrently(
+ model_name="scan",
+ index=models.Index(
+ condition=models.Q(("state", "completed")),
+ fields=["tenant_id", "provider_id", "state", "-inserted_at"],
+ name="scans_prov_state_ins_desc_idx",
+ ),
+ ),
+ AddIndexConcurrently(
+ model_name="scansummary",
+ index=models.Index(
+ fields=["tenant_id", "scan_id", "service"],
+ name="ss_tenant_scan_service_idx",
+ ),
+ ),
+ AddIndexConcurrently(
+ model_name="scansummary",
+ index=models.Index(
+ fields=["tenant_id", "scan_id", "severity"],
+ name="ss_tenant_scan_severity_idx",
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0023_resources_lookup_optimization.py b/api/src/backend/api/migrations/0023_resources_lookup_optimization.py
new file mode 100644
index 0000000000..9709f17eb4
--- /dev/null
+++ b/api/src/backend/api/migrations/0023_resources_lookup_optimization.py
@@ -0,0 +1,28 @@
+# Generated by Django 5.1.8 on 2025-05-12 10:18
+
+from django.contrib.postgres.operations import AddIndexConcurrently
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+ atomic = False
+
+ dependencies = [
+ ("api", "0022_scan_summaries_performance_indexes"),
+ ]
+
+ operations = [
+ AddIndexConcurrently(
+ model_name="resource",
+ index=models.Index(
+ fields=["tenant_id", "id"], name="resources_tenant_id_idx"
+ ),
+ ),
+ AddIndexConcurrently(
+ model_name="resource",
+ index=models.Index(
+ fields=["tenant_id", "provider_id"],
+ name="resources_tenant_provider_idx",
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/migrations/0024_findings_uid_index_partitions.py b/api/src/backend/api/migrations/0024_findings_uid_index_partitions.py
new file mode 100644
index 0000000000..d0e237453e
--- /dev/null
+++ b/api/src/backend/api/migrations/0024_findings_uid_index_partitions.py
@@ -0,0 +1,29 @@
+from functools import partial
+
+from django.db import migrations
+
+from api.db_utils import create_index_on_partitions, drop_index_on_partitions
+
+
+class Migration(migrations.Migration):
+ atomic = False
+
+ dependencies = [
+ ("api", "0023_resources_lookup_optimization"),
+ ]
+
+ operations = [
+ migrations.RunPython(
+ partial(
+ create_index_on_partitions,
+ parent_table="findings",
+ index_name="find_tenant_uid_inserted_idx",
+ columns="tenant_id, uid, inserted_at DESC",
+ ),
+ reverse_code=partial(
+ drop_index_on_partitions,
+ parent_table="findings",
+ index_name="find_tenant_uid_inserted_idx",
+ ),
+ )
+ ]
diff --git a/api/src/backend/api/migrations/0025_findings_uid_index_parent.py b/api/src/backend/api/migrations/0025_findings_uid_index_parent.py
new file mode 100644
index 0000000000..fa64ae925b
--- /dev/null
+++ b/api/src/backend/api/migrations/0025_findings_uid_index_parent.py
@@ -0,0 +1,17 @@
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+ dependencies = [
+ ("api", "0024_findings_uid_index_partitions"),
+ ]
+
+ operations = [
+ migrations.AddIndex(
+ model_name="finding",
+ index=models.Index(
+ fields=["tenant_id", "uid", "-inserted_at"],
+ name="find_tenant_uid_inserted_idx",
+ ),
+ ),
+ ]
diff --git a/api/src/backend/api/models.py b/api/src/backend/api/models.py
index 0ac9f912a0..a427bcf9c9 100644
--- a/api/src/backend/api/models.py
+++ b/api/src/backend/api/models.py
@@ -5,6 +5,7 @@ from uuid import UUID, uuid4
from cryptography.fernet import Fernet
from django.conf import settings
from django.contrib.auth.models import AbstractBaseUser
+from django.contrib.postgres.fields import ArrayField
from django.contrib.postgres.indexes import GinIndex
from django.contrib.postgres.search import SearchVector, SearchVectorField
from django.core.validators import MinLengthValidator
@@ -59,7 +60,6 @@ class StatusChoices(models.TextChoices):
FAIL = "FAIL", _("Fail")
PASS = "PASS", _("Pass")
MANUAL = "MANUAL", _("Manual")
- MUTED = "MUTED", _("Muted")
class StateChoices(models.TextChoices):
@@ -192,6 +192,7 @@ class Provider(RowLevelSecurityProtectedModel):
AZURE = "azure", _("Azure")
GCP = "gcp", _("GCP")
KUBERNETES = "kubernetes", _("Kubernetes")
+ M365 = "m365", _("M365")
@staticmethod
def validate_aws_uid(value):
@@ -215,6 +216,19 @@ class Provider(RowLevelSecurityProtectedModel):
pointer="/data/attributes/uid",
)
+ @staticmethod
+ def validate_m365_uid(value):
+ if not re.match(
+ r"""^(?!-)[A-Za-z0-9](?:[A-Za-z0-9-]{0,61}[A-Za-z0-9])?(?:\.(?!-)[A-Za-z0-9]"""
+ r"""(?:[A-Za-z0-9-]{0,61}[A-Za-z0-9])?)*\.[A-Za-z]{2,}$""",
+ value,
+ ):
+ raise ModelValidationError(
+ detail="M365 domain ID must be a valid domain.",
+ code="m365-uid",
+ pointer="/data/attributes/uid",
+ )
+
@staticmethod
def validate_gcp_uid(value):
if not re.match(r"^[a-z][a-z0-9-]{5,29}$", value):
@@ -416,6 +430,7 @@ class Scan(RowLevelSecurityProtectedModel):
PeriodicTask, on_delete=models.CASCADE, null=True, blank=True
)
output_location = models.CharField(blank=True, null=True, max_length=200)
+
# TODO: mutelist foreign key
class Meta(RowLevelSecurityProtectedModel.Meta):
@@ -438,6 +453,11 @@ class Scan(RowLevelSecurityProtectedModel):
fields=["tenant_id", "provider_id", "state", "inserted_at"],
name="scans_prov_state_insert_idx",
),
+ models.Index(
+ fields=["tenant_id", "provider_id", "state", "-inserted_at"],
+ condition=Q(state=StateChoices.COMPLETED),
+ name="scans_prov_state_ins_desc_idx",
+ ),
]
class JSONAPIMeta:
@@ -519,6 +539,11 @@ class Resource(RowLevelSecurityProtectedModel):
editable=False,
)
+ metadata = models.TextField(blank=True, null=True)
+ details = models.TextField(blank=True, null=True)
+ partition = models.TextField(blank=True, null=True)
+
+ # Relationships
tags = models.ManyToManyField(
ResourceTag,
verbose_name="Tags associated with the resource, by provider",
@@ -559,6 +584,11 @@ class Resource(RowLevelSecurityProtectedModel):
name="resource_tenant_metadata_idx",
),
GinIndex(fields=["text_search"], name="gin_resources_search_idx"),
+ models.Index(fields=["tenant_id", "id"], name="resources_tenant_id_idx"),
+ models.Index(
+ fields=["tenant_id", "provider_id"],
+ name="resources_tenant_provider_idx",
+ ),
]
constraints = [
@@ -656,6 +686,23 @@ class Finding(PostgresPartitionedModel, RowLevelSecurityProtectedModel):
tags = models.JSONField(default=dict, null=True, blank=True)
check_id = models.CharField(max_length=100, blank=False, null=False)
check_metadata = models.JSONField(default=dict, null=False)
+ muted = models.BooleanField(default=False, null=False)
+ compliance = models.JSONField(default=dict, null=True, blank=True)
+
+ # Denormalize resource data for performance
+ resource_regions = ArrayField(
+ models.CharField(max_length=100), blank=True, null=True
+ )
+ resource_services = ArrayField(
+ models.CharField(max_length=100),
+ blank=True,
+ null=True,
+ )
+ resource_types = ArrayField(
+ models.CharField(max_length=100),
+ blank=True,
+ null=True,
+ )
# Relationships
scan = models.ForeignKey(to=Scan, related_name="findings", on_delete=models.CASCADE)
@@ -697,18 +744,6 @@ class Finding(PostgresPartitionedModel, RowLevelSecurityProtectedModel):
]
indexes = [
- models.Index(fields=["uid"], name="findings_uid_idx"),
- models.Index(
- fields=[
- "scan_id",
- "impact",
- "severity",
- "status",
- "check_id",
- "delta",
- ],
- name="findings_filter_idx",
- ),
models.Index(fields=["tenant_id", "id"], name="findings_tenant_and_id_idx"),
GinIndex(fields=["text_search"], name="gin_findings_search_idx"),
models.Index(fields=["tenant_id", "scan_id"], name="find_tenant_scan_idx"),
@@ -720,19 +755,42 @@ class Finding(PostgresPartitionedModel, RowLevelSecurityProtectedModel):
condition=Q(delta="new"),
name="find_delta_new_idx",
),
+ models.Index(
+ fields=["tenant_id", "uid", "-inserted_at"],
+ name="find_tenant_uid_inserted_idx",
+ ),
+ GinIndex(fields=["resource_services"], name="gin_find_service_idx"),
+ GinIndex(fields=["resource_regions"], name="gin_find_region_idx"),
+ GinIndex(fields=["resource_types"], name="gin_find_rtype_idx"),
]
class JSONAPIMeta:
resource_name = "findings"
def add_resources(self, resources: list[Resource] | None):
- # Add new relationships with the tenant_id field
+ if not resources:
+ return
+
+ self.resource_regions = self.resource_regions or []
+ self.resource_services = self.resource_services or []
+ self.resource_types = self.resource_types or []
+
+ # Deduplication
+ regions = set(self.resource_regions)
+ services = set(self.resource_services)
+ types = set(self.resource_types)
+
for resource in resources:
ResourceFindingMapping.objects.update_or_create(
resource=resource, finding=self, tenant_id=self.tenant_id
)
+ regions.add(resource.region)
+ services.add(resource.service)
+ types.add(resource.type)
- # Save the instance
+ self.resource_regions = list(regions)
+ self.resource_services = list(services)
+ self.resource_types = list(types)
self.save()
@@ -1134,7 +1192,15 @@ class ScanSummary(RowLevelSecurityProtectedModel):
models.Index(
fields=["tenant_id", "scan_id"],
name="scan_summaries_tenant_scan_idx",
- )
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "service"],
+ name="ss_tenant_scan_service_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "severity"],
+ name="ss_tenant_scan_severity_idx",
+ ),
]
class JSONAPIMeta:
@@ -1216,3 +1282,52 @@ class IntegrationProviderRelationship(RowLevelSecurityProtectedModel):
statements=["SELECT", "INSERT", "UPDATE", "DELETE"],
),
]
+
+
+class ResourceScanSummary(RowLevelSecurityProtectedModel):
+ scan_id = models.UUIDField(default=uuid7, db_index=True)
+ resource_id = models.UUIDField(default=uuid4, db_index=True)
+ service = models.CharField(max_length=100)
+ region = models.CharField(max_length=100)
+ resource_type = models.CharField(max_length=100)
+
+ class Meta:
+ db_table = "resource_scan_summaries"
+ unique_together = (("tenant_id", "scan_id", "resource_id"),)
+
+ indexes = [
+ # Single-dimension lookups:
+ models.Index(
+ fields=["tenant_id", "scan_id", "service"],
+ name="rss_tenant_scan_svc_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "region"],
+ name="rss_tenant_scan_reg_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "resource_type"],
+ name="rss_tenant_scan_type_idx",
+ ),
+ # Two-dimension cross-filters:
+ models.Index(
+ fields=["tenant_id", "scan_id", "region", "service"],
+ name="rss_tenant_scan_reg_svc_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "service", "resource_type"],
+ name="rss_tenant_scan_svc_type_idx",
+ ),
+ models.Index(
+ fields=["tenant_id", "scan_id", "region", "resource_type"],
+ name="rss_tenant_scan_reg_type_idx",
+ ),
+ ]
+
+ constraints = [
+ RowLevelSecurityConstraint(
+ field="tenant_id",
+ name="rls_on_%(class)s",
+ statements=["SELECT", "INSERT", "UPDATE", "DELETE"],
+ ),
+ ]
diff --git a/api/src/backend/api/signals.py b/api/src/backend/api/signals.py
index 44c2e0b4fd..d9dc0a72d9 100644
--- a/api/src/backend/api/signals.py
+++ b/api/src/backend/api/signals.py
@@ -1,12 +1,12 @@
from celery import states
from celery.signals import before_task_publish
+from config.celery import celery_app
from django.db.models.signals import post_delete
from django.dispatch import receiver
-from django_celery_beat.models import PeriodicTask
from django_celery_results.backends.database import DatabaseBackend
+from api.db_utils import delete_related_daily_task
from api.models import Provider
-from config.celery import celery_app
def create_task_result_on_publish(sender=None, headers=None, **kwargs): # noqa: F841
@@ -31,5 +31,4 @@ before_task_publish.connect(
@receiver(post_delete, sender=Provider)
def delete_provider_scan_task(sender, instance, **kwargs): # noqa: F841
# Delete the associated periodic task when the provider is deleted
- task_name = f"scan-perform-scheduled-{instance.id}"
- PeriodicTask.objects.filter(name=task_name).delete()
+ delete_related_daily_task(instance.id)
diff --git a/api/src/backend/api/specs/v1.yaml b/api/src/backend/api/specs/v1.yaml
index 99f2ce68b2..3f90c28cb1 100644
--- a/api/src/backend/api/specs/v1.yaml
+++ b/api/src/backend/api/specs/v1.yaml
@@ -1,7 +1,7 @@
openapi: 3.0.3
info:
title: Prowler API
- version: 1.6.0
+ version: 1.8.1
description: |-
Prowler API specification.
@@ -83,11 +83,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -99,6 +101,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -106,6 +109,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -233,6 +237,42 @@ paths:
schema:
$ref: '#/components/schemas/ComplianceOverviewFullResponse'
description: ''
+ /api/v1/compliance-overviews/metadata:
+ get:
+ operationId: compliance_overviews_metadata_retrieve
+ description: Fetch unique metadata values from a set of compliance overviews.
+ This is useful for dynamic filtering.
+ summary: Retrieve metadata values from compliance overviews
+ parameters:
+ - in: query
+ name: fields[compliance-overviews-metadata]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - regions
+ description: endpoint return only specific fields in the response on a per-type
+ basis by including a fields[TYPE] query parameter.
+ explode: false
+ - in: query
+ name: filter[scan_id]
+ schema:
+ type: string
+ format: uuid
+ description: Related scan ID.
+ required: true
+ tags:
+ - Compliance Overview
+ security:
+ - jwtAuth: []
+ responses:
+ '200':
+ content:
+ application/vnd.api+json:
+ schema:
+ $ref: '#/components/schemas/ComplianceOverviewMetadataResponse'
+ description: ''
/api/v1/findings:
get:
operationId: findings_list
@@ -258,6 +298,7 @@ paths:
- inserted_at
- updated_at
- first_seen_at
+ - muted
- url
- scan
- resources
@@ -366,6 +407,12 @@ paths:
type: string
format: date
description: Maximum date range is 7 days.
+ - in: query
+ name: filter[muted]
+ schema:
+ type: boolean
+ description: If this filter is not provided, muted and non-muted findings
+ will be returned.
- in: query
name: filter[provider]
schema:
@@ -407,11 +454,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -423,6 +472,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -430,6 +480,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -597,13 +648,11 @@ paths:
enum:
- FAIL
- MANUAL
- - MUTED
- PASS
description: |-
* `FAIL` - Fail
* `PASS` - Pass
* `MANUAL` - Manual
- * `MUTED` - Muted
- in: query
name: filter[status__in]
schema:
@@ -720,6 +769,7 @@ paths:
- inserted_at
- updated_at
- first_seen_at
+ - muted
- url
- scan
- resources
@@ -873,6 +923,12 @@ paths:
type: string
format: date
description: Maximum date range is 7 days.
+ - in: query
+ name: filter[muted]
+ schema:
+ type: boolean
+ description: If this filter is not provided, muted and non-muted findings
+ will be returned.
- in: query
name: filter[provider]
schema:
@@ -914,11 +970,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -930,6 +988,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -937,6 +996,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -1104,13 +1164,11 @@ paths:
enum:
- FAIL
- MANUAL
- - MUTED
- PASS
description: |-
* `FAIL` - Fail
* `PASS` - Pass
* `MANUAL` - Manual
- * `MUTED` - Muted
- in: query
name: filter[status__in]
schema:
@@ -1180,6 +1238,416 @@ paths:
schema:
$ref: '#/components/schemas/FindingDynamicFilterResponse'
description: ''
+ /api/v1/findings/latest:
+ get:
+ operationId: findings_latest_retrieve
+ description: Retrieve a list of the latest findings from the latest scans for
+ each provider with options for filtering by various criteria.
+ summary: List the latest findings
+ parameters:
+ - in: query
+ name: fields[findings]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - uid
+ - delta
+ - status
+ - status_extended
+ - severity
+ - check_id
+ - check_metadata
+ - raw_result
+ - inserted_at
+ - updated_at
+ - first_seen_at
+ - muted
+ - url
+ - scan
+ - resources
+ description: endpoint return only specific fields in the response on a per-type
+ basis by including a fields[TYPE] query parameter.
+ explode: false
+ - in: query
+ name: filter[check_id]
+ schema:
+ type: string
+ - in: query
+ name: filter[check_id__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[check_id__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[delta]
+ schema:
+ type: string
+ nullable: true
+ enum:
+ - changed
+ - new
+ description: |-
+ * `new` - New
+ * `changed` - Changed
+ - in: query
+ name: filter[delta__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[id]
+ schema:
+ type: string
+ format: uuid
+ - in: query
+ name: filter[id__in]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[impact]
+ schema:
+ type: string
+ enum:
+ - critical
+ - high
+ - informational
+ - low
+ - medium
+ description: |-
+ * `critical` - Critical
+ * `high` - High
+ * `medium` - Medium
+ * `low` - Low
+ * `informational` - Informational
+ - in: query
+ name: filter[impact__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[muted]
+ schema:
+ type: boolean
+ description: If this filter is not provided, muted and non-muted findings
+ will be returned.
+ - in: query
+ name: filter[provider]
+ schema:
+ type: string
+ format: uuid
+ - in: query
+ name: filter[provider__in]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_alias]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_alias__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_alias__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_type]
+ schema:
+ type: string
+ enum:
+ - aws
+ - azure
+ - gcp
+ - kubernetes
+ - m365
+ description: |-
+ * `aws` - AWS
+ * `azure` - Azure
+ * `gcp` - GCP
+ * `kubernetes` - Kubernetes
+ * `m365` - M365
+ - in: query
+ name: filter[provider_type__in]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - aws
+ - azure
+ - gcp
+ - kubernetes
+ - m365
+ description: |-
+ Multiple values may be separated by commas.
+
+ * `aws` - AWS
+ * `azure` - Azure
+ * `gcp` - GCP
+ * `kubernetes` - Kubernetes
+ * `m365` - M365
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_uid__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[region]
+ schema:
+ type: string
+ - in: query
+ name: filter[region__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[region__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_name]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_name__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_name__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_type]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_type__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_type__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_uid__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resources]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - name: filter[search]
+ required: false
+ in: query
+ description: A search term.
+ schema:
+ type: string
+ - in: query
+ name: filter[service]
+ schema:
+ type: string
+ - in: query
+ name: filter[service__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[service__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[severity]
+ schema:
+ type: string
+ enum:
+ - critical
+ - high
+ - informational
+ - low
+ - medium
+ description: |-
+ * `critical` - Critical
+ * `high` - High
+ * `medium` - Medium
+ * `low` - Low
+ * `informational` - Informational
+ - in: query
+ name: filter[severity__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[status]
+ schema:
+ type: string
+ enum:
+ - FAIL
+ - MANUAL
+ - PASS
+ description: |-
+ * `FAIL` - Fail
+ * `PASS` - Pass
+ * `MANUAL` - Manual
+ - in: query
+ name: filter[status__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[updated_at]
+ schema:
+ type: string
+ format: date
+ - in: query
+ name: include
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - scan
+ - resources
+ description: include query parameter to allow the client to customize which
+ related resources should be returned.
+ explode: false
+ - name: sort
+ required: false
+ in: query
+ description: '[list of fields to sort by](https://jsonapi.org/format/#fetching-sorting)'
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - status
+ - -status
+ - severity
+ - -severity
+ - check_id
+ - -check_id
+ - inserted_at
+ - -inserted_at
+ - updated_at
+ - -updated_at
+ explode: false
+ tags:
+ - Finding
+ security:
+ - jwtAuth: []
+ responses:
+ '200':
+ content:
+ application/vnd.api+json:
+ schema:
+ $ref: '#/components/schemas/FindingResponse'
+ description: ''
/api/v1/findings/metadata:
get:
operationId: findings_metadata_retrieve
@@ -1302,6 +1770,12 @@ paths:
type: string
format: date
description: Maximum date range is 7 days.
+ - in: query
+ name: filter[muted]
+ schema:
+ type: boolean
+ description: If this filter is not provided, muted and non-muted findings
+ will be returned.
- in: query
name: filter[provider]
schema:
@@ -1343,11 +1817,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -1359,6 +1835,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -1366,6 +1843,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -1533,13 +2011,11 @@ paths:
enum:
- FAIL
- MANUAL
- - MUTED
- PASS
description: |-
* `FAIL` - Fail
* `PASS` - Pass
* `MANUAL` - Manual
- * `MUTED` - Muted
- in: query
name: filter[status__in]
schema:
@@ -1608,6 +2084,392 @@ paths:
schema:
$ref: '#/components/schemas/FindingMetadataResponse'
description: ''
+ /api/v1/findings/metadata/latest:
+ get:
+ operationId: findings_metadata_latest_retrieve
+ description: Fetch unique metadata values from a set of findings from the latest
+ scans for each provider. This is useful for dynamic filtering.
+ summary: Retrieve metadata values from the latest findings
+ parameters:
+ - in: query
+ name: fields[findings-metadata]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - services
+ - regions
+ - resource_types
+ description: endpoint return only specific fields in the response on a per-type
+ basis by including a fields[TYPE] query parameter.
+ explode: false
+ - in: query
+ name: filter[check_id]
+ schema:
+ type: string
+ - in: query
+ name: filter[check_id__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[check_id__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[delta]
+ schema:
+ type: string
+ nullable: true
+ enum:
+ - changed
+ - new
+ description: |-
+ * `new` - New
+ * `changed` - Changed
+ - in: query
+ name: filter[delta__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[id]
+ schema:
+ type: string
+ format: uuid
+ - in: query
+ name: filter[id__in]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[impact]
+ schema:
+ type: string
+ enum:
+ - critical
+ - high
+ - informational
+ - low
+ - medium
+ description: |-
+ * `critical` - Critical
+ * `high` - High
+ * `medium` - Medium
+ * `low` - Low
+ * `informational` - Informational
+ - in: query
+ name: filter[impact__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[muted]
+ schema:
+ type: boolean
+ description: If this filter is not provided, muted and non-muted findings
+ will be returned.
+ - in: query
+ name: filter[provider]
+ schema:
+ type: string
+ format: uuid
+ - in: query
+ name: filter[provider__in]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_alias]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_alias__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_alias__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_type]
+ schema:
+ type: string
+ enum:
+ - aws
+ - azure
+ - gcp
+ - kubernetes
+ - m365
+ description: |-
+ * `aws` - AWS
+ * `azure` - Azure
+ * `gcp` - GCP
+ * `kubernetes` - Kubernetes
+ * `m365` - M365
+ - in: query
+ name: filter[provider_type__in]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - aws
+ - azure
+ - gcp
+ - kubernetes
+ - m365
+ description: |-
+ Multiple values may be separated by commas.
+
+ * `aws` - AWS
+ * `azure` - Azure
+ * `gcp` - GCP
+ * `kubernetes` - Kubernetes
+ * `m365` - M365
+ explode: false
+ style: form
+ - in: query
+ name: filter[provider_uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_uid__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[provider_uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[region]
+ schema:
+ type: string
+ - in: query
+ name: filter[region__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[region__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_name]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_name__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_name__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_type]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_type__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_type__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resource_uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_uid__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[resource_uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[resources]
+ schema:
+ type: array
+ items:
+ type: string
+ format: uuid
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - name: filter[search]
+ required: false
+ in: query
+ description: A search term.
+ schema:
+ type: string
+ - in: query
+ name: filter[service]
+ schema:
+ type: string
+ - in: query
+ name: filter[service__icontains]
+ schema:
+ type: string
+ - in: query
+ name: filter[service__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[severity]
+ schema:
+ type: string
+ enum:
+ - critical
+ - high
+ - informational
+ - low
+ - medium
+ description: |-
+ * `critical` - Critical
+ * `high` - High
+ * `medium` - Medium
+ * `low` - Low
+ * `informational` - Informational
+ - in: query
+ name: filter[severity__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[status]
+ schema:
+ type: string
+ enum:
+ - FAIL
+ - MANUAL
+ - PASS
+ description: |-
+ * `FAIL` - Fail
+ * `PASS` - Pass
+ * `MANUAL` - Manual
+ - in: query
+ name: filter[status__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[uid]
+ schema:
+ type: string
+ - in: query
+ name: filter[uid__in]
+ schema:
+ type: array
+ items:
+ type: string
+ description: Multiple values may be separated by commas.
+ explode: false
+ style: form
+ - in: query
+ name: filter[updated_at]
+ schema:
+ type: string
+ format: date
+ - name: sort
+ required: false
+ in: query
+ description: '[list of fields to sort by](https://jsonapi.org/format/#fetching-sorting)'
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - status
+ - -status
+ - severity
+ - -severity
+ - check_id
+ - -check_id
+ - inserted_at
+ - -inserted_at
+ - updated_at
+ - -updated_at
+ explode: false
+ tags:
+ - Finding
+ security:
+ - jwtAuth: []
+ responses:
+ '200':
+ content:
+ application/vnd.api+json:
+ schema:
+ $ref: '#/components/schemas/FindingMetadataResponse'
+ description: ''
/api/v1/integrations:
get:
operationId: integrations_list
@@ -1983,10 +2845,6 @@ paths:
schema:
type: string
format: date-time
- - in: query
- name: filter[muted_findings]
- schema:
- type: boolean
- in: query
name: filter[provider_id]
schema:
@@ -2001,11 +2859,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -2017,6 +2877,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -2024,6 +2885,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -2144,10 +3006,6 @@ paths:
schema:
type: string
format: date-time
- - in: query
- name: filter[muted_findings]
- schema:
- type: boolean
- in: query
name: filter[provider_id]
schema:
@@ -2162,11 +3020,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -2178,6 +3038,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -2185,6 +3046,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -2335,11 +3197,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -2351,6 +3215,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -2358,6 +3223,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -2821,11 +3687,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider__in]
schema:
@@ -3399,11 +4267,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -3415,6 +4285,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -3422,6 +4293,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -3674,6 +4546,7 @@ paths:
- name
- manage_users
- manage_account
+ - manage_integrations
- manage_providers
- manage_scans
- permission_state
@@ -3792,6 +4665,8 @@ paths:
- -manage_users
- manage_account
- -manage_account
+ - manage_integrations
+ - -manage_integrations
- manage_providers
- -manage_providers
- manage_scans
@@ -3867,6 +4742,7 @@ paths:
- name
- manage_users
- manage_account
+ - manage_integrations
- manage_providers
- manage_scans
- permission_state
@@ -4121,11 +4997,13 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
- in: query
name: filter[provider_type__in]
schema:
@@ -4137,6 +5015,7 @@ paths:
- azure
- gcp
- kubernetes
+ - m365
description: |-
Multiple values may be separated by commas.
@@ -4144,6 +5023,7 @@ paths:
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
explode: false
style: form
- in: query
@@ -4236,6 +5116,17 @@ paths:
description: |-
* `scheduled` - Scheduled
* `manual` - Manual
+ - in: query
+ name: include
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - provider
+ description: include query parameter to allow the client to customize which
+ related resources should be returned.
+ explode: false
- name: page[number]
required: false
in: query
@@ -4350,6 +5241,17 @@ paths:
format: uuid
description: A UUID string identifying this scan.
required: true
+ - in: query
+ name: include
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - provider
+ description: include query parameter to allow the client to customize which
+ related resources should be returned.
+ explode: false
tags:
- Scan
security:
@@ -4397,6 +5299,47 @@ paths:
schema:
$ref: '#/components/schemas/ScanUpdateResponse'
description: ''
+ /api/v1/scans/{id}/compliance/{name}:
+ get:
+ operationId: scans_compliance_retrieve
+ description: Download a specific compliance report (e.g., 'cis_1.4_aws') as
+ a CSV file.
+ summary: Retrieve compliance report as CSV
+ parameters:
+ - in: query
+ name: fields[scan-reports]
+ schema:
+ type: array
+ items:
+ type: string
+ enum:
+ - id
+ - name
+ description: endpoint return only specific fields in the response on a per-type
+ basis by including a fields[TYPE] query parameter.
+ explode: false
+ - in: path
+ name: id
+ schema:
+ type: string
+ format: uuid
+ description: A UUID string identifying this scan.
+ required: true
+ - in: path
+ name: name
+ schema:
+ type: string
+ description: The compliance report name, like 'cis_1.4_aws'
+ required: true
+ tags:
+ - Scan
+ security:
+ - jwtAuth: []
+ responses:
+ '200':
+ description: CSV file containing the compliance report
+ '404':
+ description: Compliance report not found
/api/v1/scans/{id}/report:
get:
operationId: scans_report_retrieve
@@ -6105,6 +7048,40 @@ components:
$ref: '#/components/schemas/ComplianceOverviewFull'
required:
- data
+ ComplianceOverviewMetadata:
+ type: object
+ required:
+ - type
+ - id
+ additionalProperties: false
+ properties:
+ type:
+ allOf:
+ - $ref: '#/components/schemas/ComplianceOverviewMetadataTypeEnum'
+ description: The [type](https://jsonapi.org/format/#document-resource-object-identification)
+ member is used to describe resource objects that share common attributes
+ and relationships.
+ id: {}
+ attributes:
+ type: object
+ properties:
+ regions:
+ type: array
+ items:
+ type: string
+ required:
+ - regions
+ ComplianceOverviewMetadataResponse:
+ type: object
+ properties:
+ data:
+ $ref: '#/components/schemas/ComplianceOverviewMetadata'
+ required:
+ - data
+ ComplianceOverviewMetadataTypeEnum:
+ type: string
+ enum:
+ - compliance-overviews-metadata
Finding:
type: object
required:
@@ -6142,13 +7119,11 @@ components:
- FAIL
- PASS
- MANUAL
- - MUTED
type: string
description: |-
* `FAIL` - Fail
* `PASS` - Pass
* `MANUAL` - Manual
- * `MUTED` - Muted
status_extended:
type: string
nullable: true
@@ -6184,6 +7159,8 @@ components:
format: date-time
readOnly: true
nullable: true
+ muted:
+ type: boolean
required:
- uid
- status
@@ -8245,6 +9222,33 @@ components:
- client_id
- client_secret
- tenant_id
+ - type: object
+ title: M365 Static Credentials
+ properties:
+ client_id:
+ type: string
+ description: The Azure application (client) ID for authentication
+ in Azure AD.
+ client_secret:
+ type: string
+ description: The client secret associated with the application
+ (client) ID, providing secure access.
+ tenant_id:
+ type: string
+ description: The Azure tenant ID, representing the directory
+ where the application is registered.
+ user:
+ type: email
+ description: User microsoft email address.
+ encrypted_password:
+ type: string
+ description: User encrypted password.
+ required:
+ - client_id
+ - client_secret
+ - tenant_id
+ - user
+ - encrypted_password
- type: object
title: GCP Static Credentials
properties:
@@ -8398,6 +9402,8 @@ components:
type: boolean
manage_account:
type: boolean
+ manage_integrations:
+ type: boolean
manage_providers:
type: boolean
manage_scans:
@@ -8710,12 +9716,14 @@ components:
- azure
- gcp
- kubernetes
+ - m365
type: string
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
uid:
type: string
title: Unique identifier for the provider, set by the provider
@@ -8822,12 +9830,14 @@ components:
- azure
- gcp
- kubernetes
+ - m365
type: string
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
uid:
type: string
title: Unique identifier for the provider, set by the provider
@@ -8865,12 +9875,14 @@ components:
- azure
- gcp
- kubernetes
+ - m365
type: string
description: |-
* `aws` - AWS
* `azure` - Azure
* `gcp` - GCP
* `kubernetes` - Kubernetes
+ * `m365` - M365
uid:
type: string
minLength: 3
@@ -9455,6 +10467,33 @@ components:
- client_id
- client_secret
- tenant_id
+ - type: object
+ title: M365 Static Credentials
+ properties:
+ client_id:
+ type: string
+ description: The Azure application (client) ID for authentication
+ in Azure AD.
+ client_secret:
+ type: string
+ description: The client secret associated with the application
+ (client) ID, providing secure access.
+ tenant_id:
+ type: string
+ description: The Azure tenant ID, representing the directory where
+ the application is registered.
+ user:
+ type: email
+ description: User microsoft email address.
+ encrypted_password:
+ type: string
+ description: User encrypted password.
+ required:
+ - client_id
+ - client_secret
+ - tenant_id
+ - user
+ - encrypted_password
- type: object
title: GCP Static Credentials
properties:
@@ -9637,6 +10676,33 @@ components:
- client_id
- client_secret
- tenant_id
+ - type: object
+ title: M365 Static Credentials
+ properties:
+ client_id:
+ type: string
+ description: The Azure application (client) ID for authentication
+ in Azure AD.
+ client_secret:
+ type: string
+ description: The client secret associated with the application
+ (client) ID, providing secure access.
+ tenant_id:
+ type: string
+ description: The Azure tenant ID, representing the directory
+ where the application is registered.
+ user:
+ type: email
+ description: User microsoft email address.
+ encrypted_password:
+ type: string
+ description: User encrypted password.
+ required:
+ - client_id
+ - client_secret
+ - tenant_id
+ - user
+ - encrypted_password
- type: object
title: GCP Static Credentials
properties:
@@ -9835,6 +10901,33 @@ components:
- client_id
- client_secret
- tenant_id
+ - type: object
+ title: M365 Static Credentials
+ properties:
+ client_id:
+ type: string
+ description: The Azure application (client) ID for authentication
+ in Azure AD.
+ client_secret:
+ type: string
+ description: The client secret associated with the application
+ (client) ID, providing secure access.
+ tenant_id:
+ type: string
+ description: The Azure tenant ID, representing the directory where
+ the application is registered.
+ user:
+ type: email
+ description: User microsoft email address.
+ encrypted_password:
+ type: string
+ description: User encrypted password.
+ required:
+ - client_id
+ - client_secret
+ - tenant_id
+ - user
+ - encrypted_password
- type: object
title: GCP Static Credentials
properties:
@@ -10050,6 +11143,8 @@ components:
type: boolean
manage_account:
type: boolean
+ manage_integrations:
+ type: boolean
manage_providers:
type: boolean
manage_scans:
@@ -10179,6 +11274,8 @@ components:
type: boolean
manage_account:
type: boolean
+ manage_integrations:
+ type: boolean
manage_providers:
type: boolean
manage_scans:
@@ -10313,6 +11410,8 @@ components:
type: boolean
manage_account:
type: boolean
+ manage_integrations:
+ type: boolean
manage_providers:
type: boolean
manage_scans:
diff --git a/api/src/backend/api/tests/test_db_utils.py b/api/src/backend/api/tests/test_db_utils.py
index 6c2364600a..e22b1417bc 100644
--- a/api/src/backend/api/tests/test_db_utils.py
+++ b/api/src/backend/api/tests/test_db_utils.py
@@ -131,9 +131,10 @@ class TestBatchDelete:
return provider_count
@pytest.mark.django_db
- def test_batch_delete(self, create_test_providers):
+ def test_batch_delete(self, tenants_fixture, create_test_providers):
+ tenant_id = str(tenants_fixture[0].id)
_, summary = batch_delete(
- Provider.objects.all(), batch_size=create_test_providers // 2
+ tenant_id, Provider.objects.all(), batch_size=create_test_providers // 2
)
assert Provider.objects.all().count() == 0
assert summary == {"api.Provider": create_test_providers}
diff --git a/api/src/backend/api/tests/test_models.py b/api/src/backend/api/tests/test_models.py
index b6ef1a66c9..c2beeb3583 100644
--- a/api/src/backend/api/tests/test_models.py
+++ b/api/src/backend/api/tests/test_models.py
@@ -92,3 +92,31 @@ class TestResourceModel:
assert len(resource.tags.filter(tenant_id=tenant_id)) == 0
assert resource.get_tags(tenant_id=tenant_id) == {}
+
+
+# @pytest.mark.django_db
+# class TestFindingModel:
+# def test_add_finding_with_long_uid(
+# self, providers_fixture, scans_fixture, resources_fixture
+# ):
+# provider, *_ = providers_fixture
+# tenant_id = provider.tenant_id
+
+# long_uid = "1" * 500
+# _ = Finding.objects.create(
+# tenant_id=tenant_id,
+# uid=long_uid,
+# delta=Finding.DeltaChoices.NEW,
+# check_metadata={},
+# status=StatusChoices.PASS,
+# status_extended="",
+# severity="high",
+# impact="high",
+# raw_result={},
+# check_id="test_check",
+# scan=scans_fixture[0],
+# first_seen_at=None,
+# muted=False,
+# compliance={},
+# )
+# assert Finding.objects.filter(uid=long_uid).exists()
diff --git a/api/src/backend/api/tests/test_utils.py b/api/src/backend/api/tests/test_utils.py
index bfeec54852..0777267484 100644
--- a/api/src/backend/api/tests/test_utils.py
+++ b/api/src/backend/api/tests/test_utils.py
@@ -1,25 +1,25 @@
from datetime import datetime, timedelta, timezone
-from unittest.mock import patch, MagicMock
+from unittest.mock import MagicMock, patch
import pytest
+from rest_framework.exceptions import NotFound, ValidationError
+
+from api.db_router import MainRouter
+from api.exceptions import InvitationTokenExpiredException
+from api.models import Invitation, Provider
+from api.utils import (
+ get_prowler_provider_kwargs,
+ initialize_prowler_provider,
+ merge_dicts,
+ prowler_provider_connection_test,
+ return_prowler_provider,
+ validate_invitation,
+)
from prowler.providers.aws.aws_provider import AwsProvider
from prowler.providers.azure.azure_provider import AzureProvider
from prowler.providers.gcp.gcp_provider import GcpProvider
from prowler.providers.kubernetes.kubernetes_provider import KubernetesProvider
-from rest_framework.exceptions import ValidationError, NotFound
-
-from api.db_router import MainRouter
-from api.exceptions import InvitationTokenExpiredException
-from api.models import Invitation
-from api.models import Provider
-from api.utils import (
- merge_dicts,
- return_prowler_provider,
- initialize_prowler_provider,
- prowler_provider_connection_test,
- get_prowler_provider_kwargs,
-)
-from api.utils import validate_invitation
+from prowler.providers.m365.m365_provider import M365Provider
class TestMergeDicts:
@@ -105,6 +105,7 @@ class TestReturnProwlerProvider:
(Provider.ProviderChoices.GCP.value, GcpProvider),
(Provider.ProviderChoices.AZURE.value, AzureProvider),
(Provider.ProviderChoices.KUBERNETES.value, KubernetesProvider),
+ (Provider.ProviderChoices.M365.value, M365Provider),
],
)
def test_return_prowler_provider(self, provider_type, expected_provider):
@@ -144,6 +145,18 @@ class TestProwlerProviderConnectionTest:
key="value", provider_id="1234567890", raise_on_exception=False
)
+ @pytest.mark.django_db
+ @patch("api.utils.return_prowler_provider")
+ def test_prowler_provider_connection_test_without_secret(
+ self, mock_return_prowler_provider, providers_fixture
+ ):
+ mock_return_prowler_provider.return_value = MagicMock()
+ connection = prowler_provider_connection_test(providers_fixture[0])
+
+ assert connection.is_connected is False
+ assert isinstance(connection.error, Provider.secret.RelatedObjectDoesNotExist)
+ assert str(connection.error) == "Provider has no secret."
+
class TestGetProwlerProviderKwargs:
@pytest.mark.parametrize(
@@ -165,6 +178,10 @@ class TestGetProwlerProviderKwargs:
Provider.ProviderChoices.KUBERNETES.value,
{"context": "provider_uid"},
),
+ (
+ Provider.ProviderChoices.M365.value,
+ {},
+ ),
],
)
def test_get_prowler_provider_kwargs(self, provider_type, expected_extra_kwargs):
diff --git a/api/src/backend/api/tests/test_views.py b/api/src/backend/api/tests/test_views.py
index 597561b310..80ab44b946 100644
--- a/api/src/backend/api/tests/test_views.py
+++ b/api/src/backend/api/tests/test_views.py
@@ -2,18 +2,22 @@ import glob
import io
import json
import os
+import tempfile
from datetime import datetime, timedelta, timezone
-from unittest.mock import ANY, Mock, patch
+from pathlib import Path
+from unittest.mock import ANY, MagicMock, Mock, patch
import jwt
import pytest
-from botocore.exceptions import NoCredentialsError
+from botocore.exceptions import ClientError, NoCredentialsError
from conftest import API_JSON_CONTENT_TYPE, TEST_PASSWORD, TEST_USER
from django.conf import settings
from django.urls import reverse
from rest_framework import status
+from api.compliance import get_compliance_frameworks
from api.models import (
+ ComplianceOverview,
Integration,
Invitation,
Membership,
@@ -40,6 +44,14 @@ def today_after_n_days(n_days: int) -> str:
)
+class TestViewSet:
+ def test_security_headers(self, client):
+ response = client.get("/")
+ assert response.headers["X-Content-Type-Options"] == "nosniff"
+ assert response.headers["X-Frame-Options"] == "DENY"
+ assert response.headers["Referrer-Policy"] == "strict-origin-when-cross-origin"
+
+
@pytest.mark.django_db
class TestUserViewSet:
def test_users_list(self, authenticated_client, create_test_user):
@@ -906,6 +918,26 @@ class TestProviderViewSet:
"uid": "8851db6b-42e5-4533-aa9e-30a32d67e875",
"alias": "test",
},
+ {
+ "provider": "m365",
+ "uid": "TestingPro.onMirosoft.com",
+ "alias": "test",
+ },
+ {
+ "provider": "m365",
+ "uid": "subdomain.domain.es",
+ "alias": "test",
+ },
+ {
+ "provider": "m365",
+ "uid": "microsoft.net",
+ "alias": "test",
+ },
+ {
+ "provider": "m365",
+ "uid": "subdomain1.subdomain2.subdomain3.subdomain4.domain.net",
+ "alias": "test",
+ },
]
),
)
@@ -974,6 +1006,51 @@ class TestProviderViewSet:
"invalid_choice",
"provider",
),
+ (
+ {
+ "provider": "m365",
+ "uid": "https://test.com",
+ "alias": "test",
+ },
+ "m365-uid",
+ "uid",
+ ),
+ (
+ {
+ "provider": "m365",
+ "uid": "thisisnotadomain",
+ "alias": "test",
+ },
+ "m365-uid",
+ "uid",
+ ),
+ (
+ {
+ "provider": "m365",
+ "uid": "http://test.com",
+ "alias": "test",
+ },
+ "m365-uid",
+ "uid",
+ ),
+ (
+ {
+ "provider": "m365",
+ "uid": f"{'a' * 64}.domain.com",
+ "alias": "test",
+ },
+ "m365-uid",
+ "uid",
+ ),
+ (
+ {
+ "provider": "m365",
+ "uid": f"subdomain.{'a' * 64}.com",
+ "alias": "test",
+ },
+ "m365-uid",
+ "uid",
+ ),
]
),
)
@@ -2268,7 +2345,8 @@ class TestScanViewSet:
scan.save()
monkeypatch.setattr(
- "api.v1.views.env", type("env", (), {"str": lambda self, key: bucket})()
+ "api.v1.views.env",
+ type("env", (), {"str": lambda self, *args, **kwargs: "test-bucket"})(),
)
class FakeS3Client:
@@ -2288,35 +2366,315 @@ class TestScanViewSet:
assert f'filename="{expected_filename}"' in content_disposition
assert response.content == b"s3 zip content"
- def test_report_local_file(
- self, authenticated_client, scans_fixture, tmp_path, monkeypatch
+ def test_report_s3_success_no_local_files(
+ self, authenticated_client, scans_fixture, monkeypatch
):
"""
- When output_location is a local file path, the view should read the file from disk
- and return it with proper headers.
+ When output_location is a local path and glob.glob returns an empty list,
+ the view should return HTTP 404 with detail "The scan has no reports."
"""
scan = scans_fixture[0]
- file_content = b"local zip file content"
- file_path = tmp_path / "report.zip"
- file_path.write_bytes(file_content)
+ scan.output_location = "/tmp/nonexistent_report_pattern.zip"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+ monkeypatch.setattr("api.v1.views.glob.glob", lambda pattern: [])
- scan.output_location = str(file_path)
+ url = reverse("scan-report", kwargs={"pk": scan.id})
+ response = authenticated_client.get(url)
+
+ assert response.status_code == 404
+ assert response.json()["errors"]["detail"] == "The scan has no reports."
+
+ def test_report_local_file(self, authenticated_client, scans_fixture, monkeypatch):
+ scan = scans_fixture[0]
+ with tempfile.TemporaryDirectory() as tmp:
+ tmp_path = Path(tmp)
+ base_tmp = tmp_path / "report_local_file"
+ base_tmp.mkdir(parents=True, exist_ok=True)
+
+ file_content = b"local zip file content"
+ file_path = base_tmp / "report.zip"
+ file_path.write_bytes(file_content)
+
+ scan.output_location = str(file_path)
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ monkeypatch.setattr(
+ glob,
+ "glob",
+ lambda pattern: [str(file_path)] if pattern == str(file_path) else [],
+ )
+
+ url = reverse("scan-report", kwargs={"pk": scan.id})
+ response = authenticated_client.get(url)
+ assert response.status_code == 200
+ assert response.content == file_content
+ content_disposition = response.get("Content-Disposition")
+ assert content_disposition.startswith('attachment; filename="')
+ assert f'filename="{file_path.name}"' in content_disposition
+
+ def test_compliance_invalid_framework(self, authenticated_client, scans_fixture):
+ scan = scans_fixture[0]
+ scan.state = StateChoices.COMPLETED
+ scan.output_location = "dummy"
+ scan.save()
+
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": "invalid"})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_404_NOT_FOUND
+ assert resp.json()["errors"]["detail"] == "Compliance 'invalid' not found."
+
+ def test_compliance_executing(
+ self, authenticated_client, scans_fixture, monkeypatch
+ ):
+ scan = scans_fixture[0]
+ scan.state = StateChoices.EXECUTING
+ scan.save()
+ task = Task.objects.create(tenant_id=scan.tenant_id)
+ scan.task = task
+ scan.save()
+ dummy = {"id": str(task.id), "state": StateChoices.EXECUTING}
+
+ monkeypatch.setattr(
+ "api.v1.views.TaskSerializer",
+ lambda *args, **kwargs: type("S", (), {"data": dummy}),
+ )
+
+ framework = get_compliance_frameworks(scan.provider.provider)[0]
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": framework})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_202_ACCEPTED
+ assert "Content-Location" in resp
+ assert dummy["id"] in resp["Content-Location"]
+
+ def test_compliance_no_output(self, authenticated_client, scans_fixture):
+ scan = scans_fixture[0]
+ scan.state = StateChoices.COMPLETED
+ scan.output_location = ""
+ scan.save()
+
+ framework = get_compliance_frameworks(scan.provider.provider)[0]
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": framework})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_404_NOT_FOUND
+ assert resp.json()["errors"]["detail"] == "The scan has no reports."
+
+ def test_compliance_s3_no_credentials(
+ self, authenticated_client, scans_fixture, monkeypatch
+ ):
+ scan = scans_fixture[0]
+ bucket = "bucket"
+ key = "file.zip"
+ scan.output_location = f"s3://{bucket}/{key}"
scan.state = StateChoices.COMPLETED
scan.save()
monkeypatch.setattr(
- glob,
- "glob",
- lambda pattern: [str(file_path)] if pattern == str(file_path) else [],
+ "api.v1.views.get_s3_client",
+ lambda: (_ for _ in ()).throw(NoCredentialsError()),
)
+ framework = get_compliance_frameworks(scan.provider.provider)[0]
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": framework})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_403_FORBIDDEN
+ assert resp.json()["errors"]["detail"] == "There is a problem with credentials."
+
+ def test_compliance_s3_success(
+ self, authenticated_client, scans_fixture, monkeypatch
+ ):
+ scan = scans_fixture[0]
+ bucket = "bucket"
+ prefix = "path/scan.zip"
+ scan.output_location = f"s3://{bucket}/{prefix}"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ monkeypatch.setattr(
+ "api.v1.views.env",
+ type("env", (), {"str": lambda self, *args, **kwargs: "test-bucket"})(),
+ )
+
+ match_key = "path/compliance/mitre_attack_aws.csv"
+
+ class FakeS3Client:
+ def list_objects_v2(self, Bucket, Prefix):
+ return {"Contents": [{"Key": match_key}]}
+
+ def get_object(self, Bucket, Key):
+ return {"Body": io.BytesIO(b"ignored")}
+
+ monkeypatch.setattr("api.v1.views.get_s3_client", lambda: FakeS3Client())
+
+ framework = match_key.split("/")[-1].split(".")[0]
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": framework})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_200_OK
+ cd = resp["Content-Disposition"]
+ assert cd.startswith('attachment; filename="')
+ assert cd.endswith('filename="mitre_attack_aws.csv"')
+
+ def test_compliance_s3_not_found(
+ self, authenticated_client, scans_fixture, monkeypatch
+ ):
+ scan = scans_fixture[0]
+ bucket = "bucket"
+ scan.output_location = f"s3://{bucket}/x/scan.zip"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ monkeypatch.setattr(
+ "api.v1.views.env",
+ type("env", (), {"str": lambda self, *args, **kwargs: "test-bucket"})(),
+ )
+
+ class FakeS3Client:
+ def list_objects_v2(self, Bucket, Prefix):
+ return {"Contents": []}
+
+ def get_object(self, Bucket, Key):
+ return {"Body": io.BytesIO(b"ignored")}
+
+ monkeypatch.setattr("api.v1.views.get_s3_client", lambda: FakeS3Client())
+
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": "cis_1.4_aws"})
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_404_NOT_FOUND
+ assert (
+ resp.json()["errors"]["detail"]
+ == "No compliance file found for name 'cis_1.4_aws'."
+ )
+
+ def test_compliance_local_file(
+ self, authenticated_client, scans_fixture, monkeypatch
+ ):
+ scan = scans_fixture[0]
+ scan.state = StateChoices.COMPLETED
+
+ with tempfile.TemporaryDirectory() as tmp:
+ tmp_path = Path(tmp)
+ base = tmp_path / "reports"
+ comp_dir = base / "compliance"
+ comp_dir.mkdir(parents=True, exist_ok=True)
+ fname = comp_dir / "scan_cis.csv"
+ fname.write_bytes(b"ignored")
+
+ scan.output_location = str(base / "scan.zip")
+ scan.save()
+
+ monkeypatch.setattr(
+ glob,
+ "glob",
+ lambda p: [str(fname)] if p.endswith("*_cis_1.4_aws.csv") else [],
+ )
+
+ url = reverse(
+ "scan-compliance", kwargs={"pk": scan.id, "name": "cis_1.4_aws"}
+ )
+ resp = authenticated_client.get(url)
+ assert resp.status_code == status.HTTP_200_OK
+ cd = resp["Content-Disposition"]
+ assert cd.startswith('attachment; filename="')
+ assert cd.endswith(f'filename="{fname.name}"')
+
+ @patch("api.v1.views.Task.objects.get")
+ @patch("api.v1.views.TaskSerializer")
+ def test__get_task_status_returns_none_if_task_not_executing(
+ self, mock_task_serializer, mock_task_get, authenticated_client, scans_fixture
+ ):
+ scan = scans_fixture[0]
+ scan.state = StateChoices.COMPLETED
+ scan.output_location = "dummy"
+ scan.save()
+
+ task = Task.objects.create(tenant_id=scan.tenant_id)
+ mock_task_get.return_value = task
+ mock_task_serializer.return_value.data = {
+ "id": str(task.id),
+ "state": StateChoices.COMPLETED,
+ }
+
url = reverse("scan-report", kwargs={"pk": scan.id})
response = authenticated_client.get(url)
- assert response.status_code == 200
- assert response.content == file_content
- content_disposition = response.get("Content-Disposition")
- assert content_disposition.startswith('attachment; filename="')
- assert f'filename="{file_path.name}"' in content_disposition
+
+ assert response.status_code == status.HTTP_404_NOT_FOUND
+
+ @patch("api.v1.views.get_s3_client")
+ @patch("api.v1.views.sentry_sdk.capture_exception")
+ def test_compliance_list_objects_client_error(
+ self,
+ mock_sentry_capture,
+ mock_get_s3_client,
+ authenticated_client,
+ scans_fixture,
+ ):
+ scan = scans_fixture[0]
+ scan.output_location = "s3://test-bucket/path/to/scan.zip"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ fake_client = MagicMock()
+ fake_client.list_objects_v2.side_effect = ClientError(
+ {"Error": {"Code": "InternalError"}}, "ListObjectsV2"
+ )
+ mock_get_s3_client.return_value = fake_client
+
+ framework = get_compliance_frameworks(scan.provider.provider)[0]
+ url = reverse("scan-compliance", kwargs={"pk": scan.id, "name": framework})
+ response = authenticated_client.get(url)
+
+ assert response.status_code == status.HTTP_502_BAD_GATEWAY
+ assert (
+ response.json()["errors"]["detail"]
+ == "Unable to list compliance files in S3: encountered an AWS error."
+ )
+ mock_sentry_capture.assert_called()
+
+ @patch("api.v1.views.get_s3_client")
+ def test_report_s3_nosuchkey(
+ self, mock_get_s3_client, authenticated_client, scans_fixture
+ ):
+ scan = scans_fixture[0]
+ scan.output_location = "s3://test-bucket/report.zip"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ fake_client = MagicMock()
+ fake_client.get_object.side_effect = ClientError(
+ {"Error": {"Code": "NoSuchKey"}}, "GetObject"
+ )
+ mock_get_s3_client.return_value = fake_client
+
+ url = reverse("scan-report", kwargs={"pk": scan.id})
+ response = authenticated_client.get(url)
+
+ assert response.status_code == status.HTTP_404_NOT_FOUND
+ assert response.json()["errors"]["detail"] == "The scan has no reports."
+
+ @patch("api.v1.views.get_s3_client")
+ def test_report_s3_client_error_other(
+ self, mock_get_s3_client, authenticated_client, scans_fixture
+ ):
+ scan = scans_fixture[0]
+ scan.output_location = "s3://test-bucket/report.zip"
+ scan.state = StateChoices.COMPLETED
+ scan.save()
+
+ fake_client = MagicMock()
+ fake_client.get_object.side_effect = ClientError(
+ {"Error": {"Code": "AccessDenied"}}, "GetObject"
+ )
+ mock_get_s3_client.return_value = fake_client
+
+ url = reverse("scan-report", kwargs={"pk": scan.id})
+ response = authenticated_client.get(url)
+
+ assert response.status_code == status.HTTP_403_FORBIDDEN
+ assert (
+ response.json()["errors"]["detail"]
+ == "There is a problem with credentials."
+ )
@pytest.mark.django_db
@@ -2665,6 +3023,8 @@ class TestFindingViewSet:
# ("resource_tags", "key:value", 2),
# ("resource_tags", "not:exists", 0),
# ("resource_tags", "not:exists,key:value", 2),
+ ("muted", True, 1),
+ ("muted", False, 1),
]
),
)
@@ -2807,7 +3167,9 @@ class TestFindingViewSet:
)
assert response.status_code == status.HTTP_404_NOT_FOUND
- def test_findings_metadata_retrieve(self, authenticated_client, findings_fixture):
+ def test_findings_metadata_retrieve(
+ self, authenticated_client, findings_fixture, backfill_scan_metadata_fixture
+ ):
finding_1, *_ = findings_fixture
response = authenticated_client.get(
reverse("finding-metadata"),
@@ -2830,14 +3192,14 @@ class TestFindingViewSet:
)
# assert data["data"]["attributes"]["tags"] == expected_tags
- def test_findings_metadata_severity_retrieve(
- self, authenticated_client, findings_fixture
+ def test_findings_metadata_resource_filter_retrieve(
+ self, authenticated_client, findings_fixture, backfill_scan_metadata_fixture
):
finding_1, *_ = findings_fixture
response = authenticated_client.get(
reverse("finding-metadata"),
{
- "filter[severity__in]": ["low", "medium"],
+ "filter[region]": "eu-west-1",
"filter[inserted_at]": finding_1.inserted_at.strftime("%Y-%m-%d"),
},
)
@@ -2888,6 +3250,29 @@ class TestFindingViewSet:
]
}
+ def test_findings_latest(self, authenticated_client, latest_scan_finding):
+ response = authenticated_client.get(
+ reverse("finding-latest"),
+ )
+ assert response.status_code == status.HTTP_200_OK
+ # The latest scan only has one finding, in comparison with `GET /findings`
+ assert len(response.json()["data"]) == 1
+ assert (
+ response.json()["data"][0]["attributes"]["status"]
+ == latest_scan_finding.status
+ )
+
+ def test_findings_metadata_latest(self, authenticated_client, latest_scan_finding):
+ response = authenticated_client.get(
+ reverse("finding-metadata_latest"),
+ )
+ assert response.status_code == status.HTTP_200_OK
+ attributes = response.json()["data"]["attributes"]
+
+ assert attributes["services"] == latest_scan_finding.resource_services
+ assert attributes["regions"] == latest_scan_finding.resource_regions
+ assert attributes["resource_types"] == latest_scan_finding.resource_types
+
@pytest.mark.django_db
class TestJWTFields:
@@ -4481,6 +4866,33 @@ class TestComplianceOverviewViewSet:
assert len(response.json()["data"]) == 1
assert response.json()["data"][0]["id"] == str(compliance_overview1.id)
+ def test_compliance_overview_metadata(
+ self, authenticated_client, compliance_overviews_fixture
+ ):
+ response = authenticated_client.get(
+ reverse("complianceoverview-metadata"),
+ {"filter[scan_id]": str(compliance_overviews_fixture[0].scan_id)},
+ )
+ data = response.json()
+
+ expected_regions = set(
+ ComplianceOverview.objects.all()
+ .values_list("region", flat=True)
+ .distinct("region")
+ )
+
+ assert response.status_code == status.HTTP_200_OK
+ assert data["data"]["type"] == "compliance-overviews-metadata"
+ assert data["data"]["id"] is None
+ assert set(data["data"]["attributes"]["regions"]) == expected_regions
+
+ def test_compliance_overview_metadata_missing_scan_id(self, authenticated_client):
+ # Attempt to list compliance overviews without providing filter[scan_id]
+ response = authenticated_client.get(reverse("complianceoverview-metadata"))
+ assert response.status_code == status.HTTP_400_BAD_REQUEST
+ assert response.json()["errors"][0]["source"]["pointer"] == "filter[scan_id]"
+ assert response.json()["errors"][0]["code"] == "required"
+
@pytest.mark.django_db
class TestOverviewViewSet:
@@ -4498,9 +4910,8 @@ class TestOverviewViewSet:
assert response.json()["data"][0]["attributes"]["findings"]["pass"] == 2
assert response.json()["data"][0]["attributes"]["findings"]["fail"] == 1
assert response.json()["data"][0]["attributes"]["findings"]["muted"] == 1
- assert response.json()["data"][0]["attributes"]["resources"]["total"] == len(
- resources_fixture
- )
+ # Since we rely on completed scans, there are only 2 resources now
+ assert response.json()["data"][0]["attributes"]["resources"]["total"] == 2
def test_overview_services_list_no_required_filters(
self, authenticated_client, scan_summaries_fixture
diff --git a/api/src/backend/api/utils.py b/api/src/backend/api/utils.py
index 1dec5b8c9e..92d4f7ce75 100644
--- a/api/src/backend/api/utils.py
+++ b/api/src/backend/api/utils.py
@@ -1,16 +1,20 @@
from datetime import datetime, timezone
from allauth.socialaccount.providers.oauth2.client import OAuth2Client
+from django.contrib.postgres.aggregates import ArrayAgg
+from django.db.models import Subquery
from rest_framework.exceptions import NotFound, ValidationError
from api.db_router import MainRouter
from api.exceptions import InvitationTokenExpiredException
-from api.models import Invitation, Provider
+from api.models import Invitation, Provider, Resource
+from api.v1.serializers import FindingMetadataSerializer
from prowler.providers.aws.aws_provider import AwsProvider
from prowler.providers.azure.azure_provider import AzureProvider
from prowler.providers.common.models import Connection
from prowler.providers.gcp.gcp_provider import GcpProvider
from prowler.providers.kubernetes.kubernetes_provider import KubernetesProvider
+from prowler.providers.m365.m365_provider import M365Provider
class CustomOAuth2Client(OAuth2Client):
@@ -51,14 +55,14 @@ def merge_dicts(default_dict: dict, replacement_dict: dict) -> dict:
def return_prowler_provider(
provider: Provider,
-) -> [AwsProvider | AzureProvider | GcpProvider | KubernetesProvider]:
+) -> [AwsProvider | AzureProvider | GcpProvider | KubernetesProvider | M365Provider]:
"""Return the Prowler provider class based on the given provider type.
Args:
provider (Provider): The provider object containing the provider type and associated secrets.
Returns:
- AwsProvider | AzureProvider | GcpProvider | KubernetesProvider: The corresponding provider class.
+ AwsProvider | AzureProvider | GcpProvider | KubernetesProvider | M365Provider: The corresponding provider class.
Raises:
ValueError: If the provider type specified in `provider.provider` is not supported.
@@ -72,6 +76,8 @@ def return_prowler_provider(
prowler_provider = AzureProvider
case Provider.ProviderChoices.KUBERNETES.value:
prowler_provider = KubernetesProvider
+ case Provider.ProviderChoices.M365.value:
+ prowler_provider = M365Provider
case _:
raise ValueError(f"Provider type {provider.provider} not supported")
return prowler_provider
@@ -104,15 +110,15 @@ def get_prowler_provider_kwargs(provider: Provider) -> dict:
def initialize_prowler_provider(
provider: Provider,
-) -> AwsProvider | AzureProvider | GcpProvider | KubernetesProvider:
+) -> AwsProvider | AzureProvider | GcpProvider | KubernetesProvider | M365Provider:
"""Initialize a Prowler provider instance based on the given provider type.
Args:
provider (Provider): The provider object containing the provider type and associated secrets.
Returns:
- AwsProvider | AzureProvider | GcpProvider | KubernetesProvider: An instance of the corresponding provider class
- (`AwsProvider`, `AzureProvider`, `GcpProvider`, or `KubernetesProvider`) initialized with the
+ AwsProvider | AzureProvider | GcpProvider | KubernetesProvider | M365Provider: An instance of the corresponding provider class
+ (`AwsProvider`, `AzureProvider`, `GcpProvider`, `KubernetesProvider` or `M365Provider`) initialized with the
provider's secrets.
"""
prowler_provider = return_prowler_provider(provider)
@@ -130,7 +136,12 @@ def prowler_provider_connection_test(provider: Provider) -> Connection:
Connection: A connection object representing the result of the connection test for the specified provider.
"""
prowler_provider = return_prowler_provider(provider)
- prowler_provider_kwargs = provider.secret.secret
+
+ try:
+ prowler_provider_kwargs = provider.secret.secret
+ except Provider.secret.RelatedObjectDoesNotExist as secret_error:
+ return Connection(is_connected=False, error=secret_error)
+
return prowler_provider.test_connection(
**prowler_provider_kwargs, provider_id=provider.uid, raise_on_exception=False
)
@@ -197,3 +208,33 @@ def validate_invitation(
)
return invitation
+
+
+# ToRemove after removing the fallback mechanism in /findings/metadata
+def get_findings_metadata_no_aggregations(tenant_id: str, filtered_queryset):
+ filtered_ids = filtered_queryset.order_by().values("id")
+
+ relevant_resources = Resource.all_objects.filter(
+ tenant_id=tenant_id, findings__id__in=Subquery(filtered_ids)
+ ).only("service", "region", "type")
+
+ aggregation = relevant_resources.aggregate(
+ services=ArrayAgg("service", flat=True),
+ regions=ArrayAgg("region", flat=True),
+ resource_types=ArrayAgg("type", flat=True),
+ )
+
+ services = sorted(set(aggregation["services"] or []))
+ regions = sorted({region for region in aggregation["regions"] or [] if region})
+ resource_types = sorted(set(aggregation["resource_types"] or []))
+
+ result = {
+ "services": services,
+ "regions": regions,
+ "resource_types": resource_types,
+ }
+
+ serializer = FindingMetadataSerializer(data=result)
+ serializer.is_valid(raise_exception=True)
+
+ return serializer.data
diff --git a/api/src/backend/api/v1/mixins.py b/api/src/backend/api/v1/mixins.py
new file mode 100644
index 0000000000..85250c0eef
--- /dev/null
+++ b/api/src/backend/api/v1/mixins.py
@@ -0,0 +1,33 @@
+from rest_framework.response import Response
+
+
+class PaginateByPkMixin:
+ """
+ Mixin to paginate on a list of PKs (cheaper than heavy JOINs),
+ re-fetch the full objects with the desired select/prefetch,
+ re-sort them to preserve DB ordering, then serialize + return.
+ """
+
+ def paginate_by_pk(
+ self,
+ request, # noqa: F841
+ base_queryset,
+ manager,
+ select_related: list[str] | None = None,
+ prefetch_related: list[str] | None = None,
+ ) -> Response:
+ pk_list = base_queryset.values_list("id", flat=True)
+ page = self.paginate_queryset(pk_list)
+ if page is None:
+ return Response(self.get_serializer(base_queryset, many=True).data)
+
+ queryset = manager.filter(id__in=page)
+ if select_related:
+ queryset = queryset.select_related(*select_related)
+ if prefetch_related:
+ queryset = queryset.prefetch_related(*prefetch_related)
+
+ queryset = sorted(queryset, key=lambda obj: page.index(obj.id))
+
+ serialized = self.get_serializer(queryset, many=True).data
+ return self.get_paginated_response(serialized)
diff --git a/api/src/backend/api/v1/serializer_utils/providers.py b/api/src/backend/api/v1/serializer_utils/providers.py
new file mode 100644
index 0000000000..231e5dc1bb
--- /dev/null
+++ b/api/src/backend/api/v1/serializer_utils/providers.py
@@ -0,0 +1,172 @@
+from drf_spectacular.utils import extend_schema_field
+from rest_framework_json_api import serializers
+
+
+@extend_schema_field(
+ {
+ "oneOf": [
+ {
+ "type": "object",
+ "title": "AWS Static Credentials",
+ "properties": {
+ "aws_access_key_id": {
+ "type": "string",
+ "description": "The AWS access key ID. Required for environments where no IAM role is being "
+ "assumed and direct AWS access is needed.",
+ },
+ "aws_secret_access_key": {
+ "type": "string",
+ "description": "The AWS secret access key. Must accompany 'aws_access_key_id' to authorize "
+ "access to AWS resources.",
+ },
+ "aws_session_token": {
+ "type": "string",
+ "description": "The session token associated with temporary credentials. Only needed for "
+ "session-based or temporary AWS access.",
+ },
+ },
+ "required": ["aws_access_key_id", "aws_secret_access_key"],
+ },
+ {
+ "type": "object",
+ "title": "AWS Assume Role",
+ "properties": {
+ "role_arn": {
+ "type": "string",
+ "description": "The Amazon Resource Name (ARN) of the role to assume. Required for AWS role "
+ "assumption.",
+ },
+ "external_id": {
+ "type": "string",
+ "description": "An identifier to enhance security for role assumption.",
+ },
+ "aws_access_key_id": {
+ "type": "string",
+ "description": "The AWS access key ID. Only required if the environment lacks pre-configured "
+ "AWS credentials.",
+ },
+ "aws_secret_access_key": {
+ "type": "string",
+ "description": "The AWS secret access key. Required if 'aws_access_key_id' is provided or if "
+ "no AWS credentials are pre-configured.",
+ },
+ "aws_session_token": {
+ "type": "string",
+ "description": "The session token for temporary credentials, if applicable.",
+ },
+ "session_duration": {
+ "type": "integer",
+ "minimum": 900,
+ "maximum": 43200,
+ "default": 3600,
+ "description": "The duration (in seconds) for the role session.",
+ },
+ "role_session_name": {
+ "type": "string",
+ "description": "An identifier for the role session, useful for tracking sessions in AWS logs. "
+ "The regex used to validate this parameter is a string of characters consisting of "
+ "upper- and lower-case alphanumeric characters with no spaces. You can also include "
+ "underscores or any of the following characters: =,.@-\n\n"
+ "Examples:\n"
+ "- MySession123\n"
+ "- User_Session-1\n"
+ "- Test.Session@2",
+ "pattern": "^[a-zA-Z0-9=,.@_-]+$",
+ },
+ },
+ "required": ["role_arn", "external_id"],
+ },
+ {
+ "type": "object",
+ "title": "Azure Static Credentials",
+ "properties": {
+ "client_id": {
+ "type": "string",
+ "description": "The Azure application (client) ID for authentication in Azure AD.",
+ },
+ "client_secret": {
+ "type": "string",
+ "description": "The client secret associated with the application (client) ID, providing "
+ "secure access.",
+ },
+ "tenant_id": {
+ "type": "string",
+ "description": "The Azure tenant ID, representing the directory where the application is "
+ "registered.",
+ },
+ },
+ "required": ["client_id", "client_secret", "tenant_id"],
+ },
+ {
+ "type": "object",
+ "title": "M365 Static Credentials",
+ "properties": {
+ "client_id": {
+ "type": "string",
+ "description": "The Azure application (client) ID for authentication in Azure AD.",
+ },
+ "client_secret": {
+ "type": "string",
+ "description": "The client secret associated with the application (client) ID, providing "
+ "secure access.",
+ },
+ "tenant_id": {
+ "type": "string",
+ "description": "The Azure tenant ID, representing the directory where the application is "
+ "registered.",
+ },
+ "user": {
+ "type": "email",
+ "description": "User microsoft email address.",
+ },
+ "encrypted_password": {
+ "type": "string",
+ "description": "User encrypted password.",
+ },
+ },
+ "required": [
+ "client_id",
+ "client_secret",
+ "tenant_id",
+ "user",
+ "encrypted_password",
+ ],
+ },
+ {
+ "type": "object",
+ "title": "GCP Static Credentials",
+ "properties": {
+ "client_id": {
+ "type": "string",
+ "description": "The client ID from Google Cloud, used to identify the application for GCP "
+ "access.",
+ },
+ "client_secret": {
+ "type": "string",
+ "description": "The client secret associated with the GCP client ID, required for secure "
+ "access.",
+ },
+ "refresh_token": {
+ "type": "string",
+ "description": "A refresh token that allows the application to obtain new access tokens for "
+ "extended use.",
+ },
+ },
+ "required": ["client_id", "client_secret", "refresh_token"],
+ },
+ {
+ "type": "object",
+ "title": "Kubernetes Static Credentials",
+ "properties": {
+ "kubeconfig_content": {
+ "type": "string",
+ "description": "The content of the Kubernetes kubeconfig file, encoded as a string.",
+ }
+ },
+ "required": ["kubeconfig_content"],
+ },
+ ]
+ }
+)
+class ProviderSecretField(serializers.JSONField):
+ pass
diff --git a/api/src/backend/api/v1/serializers.py b/api/src/backend/api/v1/serializers.py
index 333a6474bf..c0440f3ef0 100644
--- a/api/src/backend/api/v1/serializers.py
+++ b/api/src/backend/api/v1/serializers.py
@@ -42,6 +42,7 @@ from api.v1.serializer_utils.integrations import (
IntegrationCredentialField,
S3ConfigSerializer,
)
+from api.v1.serializer_utils.providers import ProviderSecretField
# Tokens
@@ -851,6 +852,10 @@ class ScanSerializer(RLSSerializer):
"url",
]
+ included_serializers = {
+ "provider": "api.v1.serializers.ProviderIncludeSerializer",
+ }
+
class ScanIncludeSerializer(RLSSerializer):
trigger = serializers.ChoiceField(
@@ -955,6 +960,15 @@ class ScanReportSerializer(serializers.Serializer):
fields = ["id"]
+class ScanComplianceReportSerializer(serializers.Serializer):
+ id = serializers.CharField(source="scan")
+ name = serializers.CharField()
+
+ class Meta:
+ resource_name = "scan-reports"
+ fields = ["id", "name"]
+
+
class ResourceTagSerializer(RLSSerializer):
"""
Serializer for the ResourceTag model
@@ -1087,6 +1101,7 @@ class FindingSerializer(RLSSerializer):
"inserted_at",
"updated_at",
"first_seen_at",
+ "muted",
"url",
# Relationships
"scan",
@@ -1136,6 +1151,8 @@ class BaseWriteProviderSecretSerializer(BaseWriteSerializer):
serializer = GCPProviderSecret(data=secret)
elif provider_type == Provider.ProviderChoices.KUBERNETES.value:
serializer = KubernetesProviderSecret(data=secret)
+ elif provider_type == Provider.ProviderChoices.M365.value:
+ serializer = M365ProviderSecret(data=secret)
else:
raise serializers.ValidationError(
{"provider": f"Provider type not supported {provider_type}"}
@@ -1175,6 +1192,17 @@ class AzureProviderSecret(serializers.Serializer):
resource_name = "provider-secrets"
+class M365ProviderSecret(serializers.Serializer):
+ client_id = serializers.CharField()
+ client_secret = serializers.CharField()
+ tenant_id = serializers.CharField()
+ user = serializers.EmailField()
+ encrypted_password = serializers.CharField()
+
+ class Meta:
+ resource_name = "provider-secrets"
+
+
class GCPProviderSecret(serializers.Serializer):
client_id = serializers.CharField()
client_secret = serializers.CharField()
@@ -1206,141 +1234,6 @@ class AWSRoleAssumptionProviderSecret(serializers.Serializer):
resource_name = "provider-secrets"
-@extend_schema_field(
- {
- "oneOf": [
- {
- "type": "object",
- "title": "AWS Static Credentials",
- "properties": {
- "aws_access_key_id": {
- "type": "string",
- "description": "The AWS access key ID. Required for environments where no IAM role is being "
- "assumed and direct AWS access is needed.",
- },
- "aws_secret_access_key": {
- "type": "string",
- "description": "The AWS secret access key. Must accompany 'aws_access_key_id' to authorize "
- "access to AWS resources.",
- },
- "aws_session_token": {
- "type": "string",
- "description": "The session token associated with temporary credentials. Only needed for "
- "session-based or temporary AWS access.",
- },
- },
- "required": ["aws_access_key_id", "aws_secret_access_key"],
- },
- {
- "type": "object",
- "title": "AWS Assume Role",
- "properties": {
- "role_arn": {
- "type": "string",
- "description": "The Amazon Resource Name (ARN) of the role to assume. Required for AWS role "
- "assumption.",
- },
- "external_id": {
- "type": "string",
- "description": "An identifier to enhance security for role assumption.",
- },
- "aws_access_key_id": {
- "type": "string",
- "description": "The AWS access key ID. Only required if the environment lacks pre-configured "
- "AWS credentials.",
- },
- "aws_secret_access_key": {
- "type": "string",
- "description": "The AWS secret access key. Required if 'aws_access_key_id' is provided or if "
- "no AWS credentials are pre-configured.",
- },
- "aws_session_token": {
- "type": "string",
- "description": "The session token for temporary credentials, if applicable.",
- },
- "session_duration": {
- "type": "integer",
- "minimum": 900,
- "maximum": 43200,
- "default": 3600,
- "description": "The duration (in seconds) for the role session.",
- },
- "role_session_name": {
- "type": "string",
- "description": "An identifier for the role session, useful for tracking sessions in AWS logs. "
- "The regex used to validate this parameter is a string of characters consisting of "
- "upper- and lower-case alphanumeric characters with no spaces. You can also include "
- "underscores or any of the following characters: =,.@-\n\n"
- "Examples:\n"
- "- MySession123\n"
- "- User_Session-1\n"
- "- Test.Session@2",
- "pattern": "^[a-zA-Z0-9=,.@_-]+$",
- },
- },
- "required": ["role_arn", "external_id"],
- },
- {
- "type": "object",
- "title": "Azure Static Credentials",
- "properties": {
- "client_id": {
- "type": "string",
- "description": "The Azure application (client) ID for authentication in Azure AD.",
- },
- "client_secret": {
- "type": "string",
- "description": "The client secret associated with the application (client) ID, providing "
- "secure access.",
- },
- "tenant_id": {
- "type": "string",
- "description": "The Azure tenant ID, representing the directory where the application is "
- "registered.",
- },
- },
- "required": ["client_id", "client_secret", "tenant_id"],
- },
- {
- "type": "object",
- "title": "GCP Static Credentials",
- "properties": {
- "client_id": {
- "type": "string",
- "description": "The client ID from Google Cloud, used to identify the application for GCP "
- "access.",
- },
- "client_secret": {
- "type": "string",
- "description": "The client secret associated with the GCP client ID, required for secure "
- "access.",
- },
- "refresh_token": {
- "type": "string",
- "description": "A refresh token that allows the application to obtain new access tokens for "
- "extended use.",
- },
- },
- "required": ["client_id", "client_secret", "refresh_token"],
- },
- {
- "type": "object",
- "title": "Kubernetes Static Credentials",
- "properties": {
- "kubeconfig_content": {
- "type": "string",
- "description": "The content of the Kubernetes kubeconfig file, encoded as a string.",
- }
- },
- "required": ["kubeconfig_content"],
- },
- ]
- }
-)
-class ProviderSecretField(serializers.JSONField):
- pass
-
-
class ProviderSecretSerializer(RLSSerializer):
"""
Serializer for the ProviderSecret model.
@@ -1897,6 +1790,13 @@ class ComplianceOverviewFullSerializer(ComplianceOverviewSerializer):
return obj.requirements
+class ComplianceOverviewMetadataSerializer(serializers.Serializer):
+ regions = serializers.ListField(child=serializers.CharField(), allow_empty=True)
+
+ class Meta:
+ resource_name = "compliance-overviews-metadata"
+
+
# Overviews
diff --git a/api/src/backend/api/v1/views.py b/api/src/backend/api/v1/views.py
index df465f3169..1e3a241a28 100644
--- a/api/src/backend/api/v1/views.py
+++ b/api/src/backend/api/v1/views.py
@@ -1,6 +1,8 @@
import glob
import os
+from datetime import datetime, timedelta, timezone
+import sentry_sdk
from allauth.socialaccount.providers.github.views import GitHubOAuth2Adapter
from allauth.socialaccount.providers.google.views import GoogleOAuth2Adapter
from botocore.exceptions import ClientError, NoCredentialsError, ParamValidationError
@@ -19,8 +21,10 @@ from django.db.models import Count, Exists, F, OuterRef, Prefetch, Q, Subquery,
from django.db.models.functions import Coalesce
from django.http import HttpResponse
from django.urls import reverse
+from django.utils.dateparse import parse_date
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_control
+from django_celery_beat.models import PeriodicTask
from drf_spectacular.settings import spectacular_settings
from drf_spectacular.utils import (
OpenApiParameter,
@@ -46,6 +50,7 @@ from rest_framework_simplejwt.exceptions import InvalidToken, TokenError
from tasks.beat import schedule_provider_scan
from tasks.jobs.export import get_s3_client
from tasks.tasks import (
+ backfill_scan_resource_summaries_task,
check_provider_connection_task,
delete_provider_task,
delete_tenant_task,
@@ -53,12 +58,14 @@ from tasks.tasks import (
)
from api.base_views import BaseRLSViewSet, BaseTenantViewset, BaseUserViewset
+from api.compliance import get_compliance_frameworks
from api.db_router import MainRouter
from api.filters import (
ComplianceOverviewFilter,
FindingFilter,
IntegrationFilter,
InvitationFilter,
+ LatestFindingFilter,
MembershipFilter,
ProviderFilter,
ProviderGroupFilter,
@@ -84,6 +91,7 @@ from api.models import (
ProviderSecret,
Resource,
ResourceFindingMapping,
+ ResourceScanSummary,
Role,
RoleProviderGroupRelationship,
Scan,
@@ -97,9 +105,16 @@ from api.models import (
from api.pagination import ComplianceOverviewPagination
from api.rbac.permissions import Permissions, get_providers, get_role
from api.rls import Tenant
-from api.utils import CustomOAuth2Client, validate_invitation
+from api.utils import (
+ CustomOAuth2Client,
+ get_findings_metadata_no_aggregations,
+ validate_invitation,
+)
+from api.uuid_utils import datetime_to_uuid7, uuid7_start
+from api.v1.mixins import PaginateByPkMixin
from api.v1.serializers import (
ComplianceOverviewFullSerializer,
+ ComplianceOverviewMetadataSerializer,
ComplianceOverviewSerializer,
FindingDynamicFilterSerializer,
FindingMetadataSerializer,
@@ -131,6 +146,7 @@ from api.v1.serializers import (
RoleProviderGroupRelationshipSerializer,
RoleSerializer,
RoleUpdateSerializer,
+ ScanComplianceReportSerializer,
ScanCreateSerializer,
ScanReportSerializer,
ScanSerializer,
@@ -244,7 +260,7 @@ class SchemaView(SpectacularAPIView):
def get(self, request, *args, **kwargs):
spectacular_settings.TITLE = "Prowler API"
- spectacular_settings.VERSION = "1.6.0"
+ spectacular_settings.VERSION = "1.8.1"
spectacular_settings.DESCRIPTION = (
"Prowler API specification.\n\nThis file is auto-generated."
)
@@ -1086,6 +1102,8 @@ class ProviderViewSet(BaseRLSViewSet):
provider = get_object_or_404(Provider, pk=pk)
provider.is_deleted = True
provider.save()
+ task_name = f"scan-perform-scheduled-{pk}"
+ PeriodicTask.objects.filter(name=task_name).update(enabled=False)
with transaction.atomic():
task = delete_provider_task.delay(
@@ -1145,6 +1163,27 @@ class ProviderViewSet(BaseRLSViewSet):
404: OpenApiResponse(description="The scan has no reports"),
},
),
+ compliance=extend_schema(
+ tags=["Scan"],
+ summary="Retrieve compliance report as CSV",
+ description="Download a specific compliance report (e.g., 'cis_1.4_aws') as a CSV file.",
+ parameters=[
+ OpenApiParameter(
+ name="name",
+ type=str,
+ location=OpenApiParameter.PATH,
+ required=True,
+ description="The compliance report name, like 'cis_1.4_aws'",
+ ),
+ ],
+ responses={
+ 200: OpenApiResponse(
+ description="CSV file containing the compliance report"
+ ),
+ 404: OpenApiResponse(description="Compliance report not found"),
+ },
+ request=None,
+ ),
)
@method_decorator(CACHE_DECORATOR, name="list")
@method_decorator(CACHE_DECORATOR, name="retrieve")
@@ -1197,6 +1236,10 @@ class ScanViewSet(BaseRLSViewSet):
if hasattr(self, "response_serializer_class"):
return self.response_serializer_class
return ScanReportSerializer
+ elif self.action == "compliance":
+ if hasattr(self, "response_serializer_class"):
+ return self.response_serializer_class
+ return ScanComplianceReportSerializer
return super().get_serializer_class()
def partial_update(self, request, *args, **kwargs):
@@ -1214,70 +1257,111 @@ class ScanViewSet(BaseRLSViewSet):
)
return Response(data=read_serializer.data, status=status.HTTP_200_OK)
- @action(detail=True, methods=["get"], url_name="report")
- def report(self, request, pk=None):
- scan_instance = self.get_object()
+ def _get_task_status(self, scan_instance):
+ """
+ Returns task status if the scan or its associated report-generation task is still executing.
- if scan_instance.state == StateChoices.EXECUTING:
- # If the scan is still running, return the task
- prowler_task = Task.objects.get(id=scan_instance.task.id)
- self.response_serializer_class = TaskSerializer
- output_serializer = self.get_serializer(prowler_task)
- return Response(
- data=output_serializer.data,
- status=status.HTTP_202_ACCEPTED,
- headers={
- "Content-Location": reverse(
- "task-detail", kwargs={"pk": output_serializer.data["id"]}
- )
- },
- )
+ If the scan is in an EXECUTING state or if a background task related to report generation
+ is found and also executing, this method returns a 202 Accepted response with the task
+ metadata and a `Content-Location` header pointing to the task detail endpoint.
- try:
- output_celery_task = Task.objects.get(
- task_runner_task__task_name="scan-report",
- task_runner_task__task_args__contains=pk,
- )
- self.response_serializer_class = TaskSerializer
- output_serializer = self.get_serializer(output_celery_task)
- if output_serializer.data["state"] == StateChoices.EXECUTING:
- # If the task is still running, return the task
- return Response(
- data=output_serializer.data,
- status=status.HTTP_202_ACCEPTED,
- headers={
- "Content-Location": reverse(
- "task-detail", kwargs={"pk": output_serializer.data["id"]}
- )
- },
- )
- except Task.DoesNotExist:
- # If the task does not exist, it means that the task is removed from the database
- pass
+ Args:
+ scan_instance (Scan): The scan instance for which the task status is being checked.
- output_location = scan_instance.output_location
- if not output_location:
- return Response(
- {"detail": "The scan has no reports."},
- status=status.HTTP_404_NOT_FOUND,
- )
+ Returns:
+ Response or None:
+ - A `Response` with HTTP 202 status and serialized task data if the task is executing.
+ - `None` if no running task is found or if the task has already completed.
+ """
+ task = None
- if scan_instance.output_location.startswith("s3://"):
+ if scan_instance.state == StateChoices.EXECUTING and scan_instance.task:
+ task = scan_instance.task
+ else:
try:
- s3_client = get_s3_client()
+ task = Task.objects.get(
+ task_runner_task__task_name="scan-report",
+ task_runner_task__task_args__contains=str(scan_instance.id),
+ )
+ except Task.DoesNotExist:
+ return None
+
+ self.response_serializer_class = TaskSerializer
+ serializer = self.get_serializer(task)
+
+ if serializer.data.get("state") != StateChoices.EXECUTING:
+ return None
+
+ return Response(
+ data=serializer.data,
+ status=status.HTTP_202_ACCEPTED,
+ headers={
+ "Content-Location": reverse(
+ "task-detail", kwargs={"pk": serializer.data["id"]}
+ )
+ },
+ )
+
+ def _load_file(self, path_pattern, s3=False, bucket=None, list_objects=False):
+ """
+ Loads a binary file (e.g., ZIP or CSV) and returns its content and filename.
+
+ Depending on the input parameters, this method supports loading:
+ - From S3 using a direct key.
+ - From S3 by listing objects under a prefix and matching suffix.
+ - From the local filesystem using glob pattern matching.
+
+ Args:
+ path_pattern (str): The key or glob pattern representing the file location.
+ s3 (bool, optional): Whether the file is stored in S3. Defaults to False.
+ bucket (str, optional): The name of the S3 bucket, required if `s3=True`. Defaults to None.
+ list_objects (bool, optional): If True and `s3=True`, list objects by prefix to find the file. Defaults to False.
+
+ Returns:
+ tuple[bytes, str]: A tuple containing the file content as bytes and the filename if successful.
+ Response: A DRF `Response` object with an appropriate status and error detail if an error occurs.
+ """
+ if s3:
+ try:
+ client = get_s3_client()
except (ClientError, NoCredentialsError, ParamValidationError):
return Response(
{"detail": "There is a problem with credentials."},
status=status.HTTP_403_FORBIDDEN,
)
-
- bucket_name = env.str("DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET")
- key = output_location[len(f"s3://{bucket_name}/") :]
+ if list_objects:
+ # list keys under prefix then match suffix
+ prefix = os.path.dirname(path_pattern)
+ suffix = os.path.basename(path_pattern)
+ try:
+ resp = client.list_objects_v2(Bucket=bucket, Prefix=prefix)
+ except ClientError as e:
+ sentry_sdk.capture_exception(e)
+ return Response(
+ {
+ "detail": "Unable to list compliance files in S3: encountered an AWS error."
+ },
+ status=status.HTTP_502_BAD_GATEWAY,
+ )
+ contents = resp.get("Contents", [])
+ keys = [obj["Key"] for obj in contents if obj["Key"].endswith(suffix)]
+ if not keys:
+ return Response(
+ {
+ "detail": f"No compliance file found for name '{os.path.splitext(suffix)[0]}'."
+ },
+ status=status.HTTP_404_NOT_FOUND,
+ )
+ # path_pattern here is prefix, but in compliance we build correct suffix check before
+ key = keys[0]
+ else:
+ # path_pattern is exact key
+ key = path_pattern
try:
- s3_object = s3_client.get_object(Bucket=bucket_name, Key=key)
+ s3_obj = client.get_object(Bucket=bucket, Key=key)
except ClientError as e:
- error_code = e.response.get("Error", {}).get("Code")
- if error_code == "NoSuchKey":
+ code = e.response.get("Error", {}).get("Code")
+ if code == "NoSuchKey":
return Response(
{"detail": "The scan has no reports."},
status=status.HTTP_404_NOT_FOUND,
@@ -1286,21 +1370,97 @@ class ScanViewSet(BaseRLSViewSet):
{"detail": "There is a problem with credentials."},
status=status.HTTP_403_FORBIDDEN,
)
- file_content = s3_object["Body"].read()
- filename = os.path.basename(output_location.split("/")[-1])
+ content = s3_obj["Body"].read()
+ filename = os.path.basename(key)
else:
- zip_files = glob.glob(output_location)
- file_path = zip_files[0]
- with open(file_path, "rb") as f:
- file_content = f.read()
- filename = os.path.basename(file_path)
+ files = glob.glob(path_pattern)
+ if not files:
+ return Response(
+ {"detail": "The scan has no reports."},
+ status=status.HTTP_404_NOT_FOUND,
+ )
+ filepath = files[0]
+ with open(filepath, "rb") as f:
+ content = f.read()
+ filename = os.path.basename(filepath)
- response = HttpResponse(
- file_content, content_type="application/x-zip-compressed"
- )
+ return content, filename
+
+ def _serve_file(self, content, filename, content_type):
+ response = HttpResponse(content, content_type=content_type)
response["Content-Disposition"] = f'attachment; filename="{filename}"'
+
return response
+ @action(detail=True, methods=["get"], url_name="report")
+ def report(self, request, pk=None):
+ scan = self.get_object()
+ # Check for executing tasks
+ running_resp = self._get_task_status(scan)
+ if running_resp:
+ return running_resp
+
+ if not scan.output_location:
+ return Response(
+ {"detail": "The scan has no reports."}, status=status.HTTP_404_NOT_FOUND
+ )
+
+ if scan.output_location.startswith("s3://"):
+ bucket = env.str("DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET", "")
+ key_prefix = scan.output_location.removeprefix(f"s3://{bucket}/")
+ loader = self._load_file(
+ key_prefix, s3=True, bucket=bucket, list_objects=False
+ )
+ else:
+ loader = self._load_file(scan.output_location, s3=False)
+
+ if isinstance(loader, Response):
+ return loader
+
+ content, filename = loader
+ return self._serve_file(content, filename, "application/x-zip-compressed")
+
+ @action(
+ detail=True,
+ methods=["get"],
+ url_path="compliance/(?P[^/]+)",
+ url_name="compliance",
+ )
+ def compliance(self, request, pk=None, name=None):
+ scan = self.get_object()
+ if name not in get_compliance_frameworks(scan.provider.provider):
+ return Response(
+ {"detail": f"Compliance '{name}' not found."},
+ status=status.HTTP_404_NOT_FOUND,
+ )
+
+ running_resp = self._get_task_status(scan)
+ if running_resp:
+ return running_resp
+
+ if not scan.output_location:
+ return Response(
+ {"detail": "The scan has no reports."}, status=status.HTTP_404_NOT_FOUND
+ )
+
+ if scan.output_location.startswith("s3://"):
+ bucket = env.str("DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET", "")
+ key_prefix = scan.output_location.removeprefix(f"s3://{bucket}/")
+ prefix = os.path.join(
+ os.path.dirname(key_prefix), "compliance", f"{name}.csv"
+ )
+ loader = self._load_file(prefix, s3=True, bucket=bucket, list_objects=True)
+ else:
+ base = os.path.dirname(scan.output_location)
+ pattern = os.path.join(base, "compliance", f"*_{name}.csv")
+ loader = self._load_file(pattern, s3=False)
+
+ if isinstance(loader, Response):
+ return loader
+
+ content, filename = loader
+ return self._serve_file(content, filename, "text/csv")
+
def create(self, request, *args, **kwargs):
input_serializer = self.get_serializer(data=request.data)
input_serializer.is_valid(raise_exception=True)
@@ -1513,10 +1673,24 @@ class ResourceViewSet(BaseRLSViewSet):
],
filters=True,
),
+ latest=extend_schema(
+ tags=["Finding"],
+ summary="List the latest findings",
+ description="Retrieve a list of the latest findings from the latest scans for each provider with options for "
+ "filtering by various criteria.",
+ filters=True,
+ ),
+ metadata_latest=extend_schema(
+ tags=["Finding"],
+ summary="Retrieve metadata values from the latest findings",
+ description="Fetch unique metadata values from a set of findings from the latest scans for each provider. "
+ "This is useful for dynamic filtering.",
+ filters=True,
+ ),
)
@method_decorator(CACHE_DECORATOR, name="list")
@method_decorator(CACHE_DECORATOR, name="retrieve")
-class FindingViewSet(BaseRLSViewSet):
+class FindingViewSet(PaginateByPkMixin, BaseRLSViewSet):
queryset = Finding.all_objects.all()
serializer_class = FindingSerializer
filterset_class = FindingFilter
@@ -1548,11 +1722,16 @@ class FindingViewSet(BaseRLSViewSet):
def get_serializer_class(self):
if self.action == "findings_services_regions":
return FindingDynamicFilterSerializer
- elif self.action == "metadata":
+ elif self.action in ["metadata", "metadata_latest"]:
return FindingMetadataSerializer
return super().get_serializer_class()
+ def get_filterset_class(self):
+ if self.action in ["latest", "metadata_latest"]:
+ return LatestFindingFilter
+ return FindingFilter
+
def get_queryset(self):
tenant_id = self.request.tenant_id
user_roles = get_role(self.request.user)
@@ -1592,21 +1771,14 @@ class FindingViewSet(BaseRLSViewSet):
return super().filter_queryset(queryset)
def list(self, request, *args, **kwargs):
- base_qs = self.filter_queryset(self.get_queryset())
- paginated_ids = self.paginate_queryset(base_qs.values_list("id", flat=True))
- if paginated_ids is not None:
- ids = list(paginated_ids)
- findings = (
- Finding.all_objects.filter(tenant_id=self.request.tenant_id, id__in=ids)
- .select_related("scan")
- .prefetch_related("resources")
- )
- # Re-sort in Python to preserve ordering:
- findings = sorted(findings, key=lambda x: ids.index(x.id))
- serializer = self.get_serializer(findings, many=True)
- return self.get_paginated_response(serializer.data)
- serializer = self.get_serializer(base_qs, many=True)
- return Response(serializer.data)
+ filtered_queryset = self.filter_queryset(self.get_queryset())
+ return self.paginate_by_pk(
+ request,
+ filtered_queryset,
+ manager=Finding.all_objects,
+ select_related=["scan"],
+ prefetch_related=["resources"],
+ )
@action(detail=False, methods=["get"], url_name="findings_services_regions")
def findings_services_regions(self, request):
@@ -1631,25 +1803,103 @@ class FindingViewSet(BaseRLSViewSet):
@action(detail=False, methods=["get"], url_name="metadata")
def metadata(self, request):
- tenant_id = self.request.tenant_id
- queryset = self.get_queryset()
- filtered_queryset = self.filter_queryset(queryset)
+ # Force filter validation
+ filtered_queryset = self.filter_queryset(self.get_queryset())
- filtered_ids = filtered_queryset.order_by().values("id")
+ tenant_id = request.tenant_id
+ query_params = request.query_params
- relevant_resources = Resource.all_objects.filter(
- tenant_id=tenant_id, findings__id__in=Subquery(filtered_ids)
- ).only("service", "region", "type")
+ queryset = ResourceScanSummary.objects.filter(tenant_id=tenant_id)
+ scan_based_filters = {}
- aggregation = relevant_resources.aggregate(
- services=ArrayAgg("service", flat=True),
- regions=ArrayAgg("region", flat=True),
- resource_types=ArrayAgg("type", flat=True),
+ if scans := query_params.get("filter[scan__in]") or query_params.get(
+ "filter[scan]"
+ ):
+ queryset = queryset.filter(scan_id__in=scans.split(","))
+ scan_based_filters = {"id__in": scans.split(",")}
+ else:
+ exact = query_params.get("filter[inserted_at]")
+ gte = query_params.get("filter[inserted_at__gte]")
+ lte = query_params.get("filter[inserted_at__lte]")
+
+ date_filters = {}
+ if exact:
+ date = parse_date(exact)
+ datetime_start = datetime.combine(
+ date, datetime.min.time(), tzinfo=timezone.utc
+ )
+ datetime_end = datetime_start + timedelta(days=1)
+ date_filters["scan_id__gte"] = uuid7_start(
+ datetime_to_uuid7(datetime_start)
+ )
+ date_filters["scan_id__lt"] = uuid7_start(
+ datetime_to_uuid7(datetime_end)
+ )
+ else:
+ if gte:
+ date_start = parse_date(gte)
+ datetime_start = datetime.combine(
+ date_start, datetime.min.time(), tzinfo=timezone.utc
+ )
+ date_filters["scan_id__gte"] = uuid7_start(
+ datetime_to_uuid7(datetime_start)
+ )
+ if lte:
+ date_end = parse_date(lte)
+ datetime_end = datetime.combine(
+ date_end + timedelta(days=1),
+ datetime.min.time(),
+ tzinfo=timezone.utc,
+ )
+ date_filters["scan_id__lt"] = uuid7_start(
+ datetime_to_uuid7(datetime_end)
+ )
+
+ if date_filters:
+ queryset = queryset.filter(**date_filters)
+ scan_based_filters = {
+ key.lstrip("scan_"): value for key, value in date_filters.items()
+ }
+
+ # ToRemove: Temporary fallback mechanism
+ if not queryset.exists():
+ scan_ids = Scan.objects.filter(
+ tenant_id=tenant_id, **scan_based_filters
+ ).values_list("id", flat=True)
+ for scan_id in scan_ids:
+ backfill_scan_resource_summaries_task.apply_async(
+ kwargs={"tenant_id": tenant_id, "scan_id": scan_id}
+ )
+ return Response(
+ get_findings_metadata_no_aggregations(tenant_id, filtered_queryset)
+ )
+
+ if service_filter := query_params.get("filter[service]") or query_params.get(
+ "filter[service__in]"
+ ):
+ queryset = queryset.filter(service__in=service_filter.split(","))
+ if region_filter := query_params.get("filter[region]") or query_params.get(
+ "filter[region__in]"
+ ):
+ queryset = queryset.filter(region__in=region_filter.split(","))
+ if resource_type_filter := query_params.get(
+ "filter[resource_type]"
+ ) or query_params.get("filter[resource_type__in]"):
+ queryset = queryset.filter(
+ resource_type__in=resource_type_filter.split(",")
+ )
+
+ services = list(
+ queryset.values_list("service", flat=True).distinct().order_by("service")
+ )
+ regions = list(
+ queryset.values_list("region", flat=True).distinct().order_by("region")
+ )
+ resource_types = list(
+ queryset.values_list("resource_type", flat=True)
+ .distinct()
+ .order_by("resource_type")
)
-
- services = sorted(set(aggregation["services"] or []))
- regions = sorted({region for region in aggregation["regions"] or [] if region})
- resource_types = sorted(set(aggregation["resource_types"] or []))
result = {
"services": services,
@@ -1659,7 +1909,108 @@ class FindingViewSet(BaseRLSViewSet):
serializer = self.get_serializer(data=result)
serializer.is_valid(raise_exception=True)
- return Response(serializer.data, status=status.HTTP_200_OK)
+ return Response(serializer.data)
+
+ @action(detail=False, methods=["get"], url_name="latest")
+ def latest(self, request):
+ tenant_id = request.tenant_id
+ filtered_queryset = self.filter_queryset(self.get_queryset())
+
+ latest_scan_ids = (
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
+ .order_by("provider_id", "-inserted_at")
+ .distinct("provider_id")
+ .values_list("id", flat=True)
+ )
+ filtered_queryset = filtered_queryset.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scan_ids
+ )
+
+ return self.paginate_by_pk(
+ request,
+ filtered_queryset,
+ manager=Finding.all_objects,
+ select_related=["scan"],
+ prefetch_related=["resources"],
+ )
+
+ @action(
+ detail=False,
+ methods=["get"],
+ url_name="metadata_latest",
+ url_path="metadata/latest",
+ )
+ def metadata_latest(self, request):
+ tenant_id = request.tenant_id
+ query_params = request.query_params
+
+ latest_scans_queryset = (
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
+ .order_by("provider_id", "-inserted_at")
+ .distinct("provider_id")
+ )
+ latest_scans_ids = list(latest_scans_queryset.values_list("id", flat=True))
+
+ queryset = ResourceScanSummary.objects.filter(
+ tenant_id=tenant_id,
+ scan_id__in=latest_scans_queryset.values_list("id", flat=True),
+ )
+ # ToRemove: Temporary fallback mechanism
+ present_ids = set(
+ ResourceScanSummary.objects.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scans_ids
+ )
+ .values_list("scan_id", flat=True)
+ .distinct()
+ )
+ missing_scan_ids = [sid for sid in latest_scans_ids if sid not in present_ids]
+ if missing_scan_ids:
+ for scan_id in missing_scan_ids:
+ backfill_scan_resource_summaries_task.apply_async(
+ kwargs={"tenant_id": tenant_id, "scan_id": scan_id}
+ )
+ return Response(
+ get_findings_metadata_no_aggregations(
+ tenant_id, self.filter_queryset(self.get_queryset())
+ )
+ )
+
+ if service_filter := query_params.get("filter[service]") or query_params.get(
+ "filter[service__in]"
+ ):
+ queryset = queryset.filter(service__in=service_filter.split(","))
+ if region_filter := query_params.get("filter[region]") or query_params.get(
+ "filter[region__in]"
+ ):
+ queryset = queryset.filter(region__in=region_filter.split(","))
+ if resource_type_filter := query_params.get(
+ "filter[resource_type]"
+ ) or query_params.get("filter[resource_type__in]"):
+ queryset = queryset.filter(
+ resource_type__in=resource_type_filter.split(",")
+ )
+
+ services = list(
+ queryset.values_list("service", flat=True).distinct().order_by("service")
+ )
+ regions = list(
+ queryset.values_list("region", flat=True).distinct().order_by("region")
+ )
+ resource_types = list(
+ queryset.values_list("resource_type", flat=True)
+ .distinct()
+ .order_by("resource_type")
+ )
+
+ result = {
+ "services": services,
+ "regions": regions,
+ "resource_types": resource_types,
+ }
+
+ serializer = self.get_serializer(data=result)
+ serializer.is_valid(raise_exception=True)
+ return Response(serializer.data)
@extend_schema_view(
@@ -2046,6 +2397,21 @@ class RoleProviderGroupRelationshipView(RelationshipView, BaseRLSViewSet):
description="Fetch detailed information about a specific compliance overview by its ID, including detailed "
"requirement information and check's status.",
),
+ metadata=extend_schema(
+ tags=["Compliance Overview"],
+ summary="Retrieve metadata values from compliance overviews",
+ description="Fetch unique metadata values from a set of compliance overviews. This is useful for dynamic "
+ "filtering.",
+ parameters=[
+ OpenApiParameter(
+ name="filter[scan_id]",
+ required=True,
+ type=OpenApiTypes.UUID,
+ location=OpenApiParameter.QUERY,
+ description="Related scan ID.",
+ ),
+ ],
+ ),
)
@method_decorator(CACHE_DECORATOR, name="list")
@method_decorator(CACHE_DECORATOR, name="retrieve")
@@ -2107,6 +2473,8 @@ class ComplianceOverviewViewSet(BaseRLSViewSet):
def get_serializer_class(self):
if self.action == "retrieve":
return ComplianceOverviewFullSerializer
+ elif self.action == "metadata":
+ return ComplianceOverviewMetadataSerializer
return super().get_serializer_class()
def list(self, request, *args, **kwargs):
@@ -2123,6 +2491,35 @@ class ComplianceOverviewViewSet(BaseRLSViewSet):
)
return super().list(request, *args, **kwargs)
+ @action(detail=False, methods=["get"], url_name="metadata")
+ def metadata(self, request):
+ scan_id = request.query_params.get("filter[scan_id]")
+ if not scan_id:
+ raise ValidationError(
+ [
+ {
+ "detail": "This query parameter is required.",
+ "status": 400,
+ "source": {"pointer": "filter[scan_id]"},
+ "code": "required",
+ }
+ ]
+ )
+
+ tenant_id = self.request.tenant_id
+
+ regions = list(
+ ComplianceOverview.objects.filter(tenant_id=tenant_id, scan_id=scan_id)
+ .values_list("region", flat=True)
+ .order_by("region")
+ .distinct()
+ )
+ result = {"regions": regions}
+
+ serializer = self.get_serializer(data=result)
+ serializer.is_valid(raise_exception=True)
+ return Response(serializer.data, status=status.HTTP_200_OK)
+
@extend_schema(tags=["Overview"])
@extend_schema_view(
@@ -2180,8 +2577,8 @@ class OverviewViewSet(BaseRLSViewSet):
def _get_filtered_queryset(model):
if role.unlimited_visibility:
- return model.objects.filter(tenant_id=self.request.tenant_id)
- return model.objects.filter(
+ return model.all_objects.filter(tenant_id=self.request.tenant_id)
+ return model.all_objects.filter(
tenant_id=self.request.tenant_id, scan__provider__in=providers
)
@@ -2225,18 +2622,20 @@ class OverviewViewSet(BaseRLSViewSet):
tenant_id = self.request.tenant_id
latest_scan_ids = (
- Scan.objects.filter(
- tenant_id=tenant_id,
- state=StateChoices.COMPLETED,
- )
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
.order_by("provider_id", "-inserted_at")
.distinct("provider_id")
.values_list("id", flat=True)
)
findings_aggregated = (
- ScanSummary.objects.filter(tenant_id=tenant_id, scan_id__in=latest_scan_ids)
- .values("scan__provider__provider")
+ ScanSummary.all_objects.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scan_ids
+ )
+ .values(
+ "scan__provider_id",
+ provider=F("scan__provider__provider"),
+ )
.annotate(
findings_passed=Coalesce(Sum("_pass"), 0),
findings_failed=Coalesce(Sum("fail"), 0),
@@ -2246,22 +2645,20 @@ class OverviewViewSet(BaseRLSViewSet):
)
resources_aggregated = (
- Resource.objects.filter(tenant_id=tenant_id)
- .values("provider__provider")
+ Resource.all_objects.filter(tenant_id=tenant_id)
+ .values("provider_id")
.annotate(total_resources=Count("id"))
)
- resources_dict = {
- row["provider__provider"]: row["total_resources"]
- for row in resources_aggregated
+ resource_map = {
+ row["provider_id"]: row["total_resources"] for row in resources_aggregated
}
overview = []
for row in findings_aggregated:
- provider_type = row["scan__provider__provider"]
overview.append(
{
- "provider": provider_type,
- "total_resources": resources_dict.get(provider_type, 0),
+ "provider": row["provider"],
+ "total_resources": resource_map.get(row["scan__provider_id"], 0),
"total_findings": row["total_findings"],
"findings_passed": row["findings_passed"],
"findings_failed": row["findings_failed"],
@@ -2269,8 +2666,10 @@ class OverviewViewSet(BaseRLSViewSet):
}
)
- serializer = OverviewProviderSerializer(overview, many=True)
- return Response(serializer.data, status=status.HTTP_200_OK)
+ return Response(
+ OverviewProviderSerializer(overview, many=True).data,
+ status=status.HTTP_200_OK,
+ )
@action(detail=False, methods=["get"], url_name="findings")
def findings(self, request):
@@ -2278,22 +2677,16 @@ class OverviewViewSet(BaseRLSViewSet):
queryset = self.get_queryset()
filtered_queryset = self.filter_queryset(queryset)
- latest_scan_subquery = (
- Scan.objects.filter(
- tenant_id=tenant_id,
- state=StateChoices.COMPLETED,
- provider_id=OuterRef("scan__provider_id"),
- )
- .order_by("-inserted_at")
- .values("id")[:1]
+ latest_scan_ids = (
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
+ .order_by("provider_id", "-inserted_at")
+ .distinct("provider_id")
+ .values_list("id", flat=True)
)
-
- annotated_queryset = filtered_queryset.annotate(
- latest_scan_id=Subquery(latest_scan_subquery)
+ filtered_queryset = filtered_queryset.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scan_ids
)
- filtered_queryset = annotated_queryset.filter(scan_id=F("latest_scan_id"))
-
aggregated_totals = filtered_queryset.aggregate(
_pass=Sum("_pass") or 0,
fail=Sum("fail") or 0,
@@ -2323,22 +2716,16 @@ class OverviewViewSet(BaseRLSViewSet):
queryset = self.get_queryset()
filtered_queryset = self.filter_queryset(queryset)
- latest_scan_subquery = (
- Scan.objects.filter(
- tenant_id=tenant_id,
- state=StateChoices.COMPLETED,
- provider_id=OuterRef("scan__provider_id"),
- )
- .order_by("-inserted_at")
- .values("id")[:1]
+ latest_scan_ids = (
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
+ .order_by("provider_id", "-inserted_at")
+ .distinct("provider_id")
+ .values_list("id", flat=True)
)
-
- annotated_queryset = filtered_queryset.annotate(
- latest_scan_id=Subquery(latest_scan_subquery)
+ filtered_queryset = filtered_queryset.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scan_ids
)
- filtered_queryset = annotated_queryset.filter(scan_id=F("latest_scan_id"))
-
severity_counts = (
filtered_queryset.values("severity")
.annotate(count=Sum("total"))
@@ -2359,22 +2746,16 @@ class OverviewViewSet(BaseRLSViewSet):
queryset = self.get_queryset()
filtered_queryset = self.filter_queryset(queryset)
- latest_scan_subquery = (
- Scan.objects.filter(
- tenant_id=tenant_id,
- state=StateChoices.COMPLETED,
- provider_id=OuterRef("scan__provider_id"),
- )
- .order_by("-inserted_at")
- .values("id")[:1]
+ latest_scan_ids = (
+ Scan.all_objects.filter(tenant_id=tenant_id, state=StateChoices.COMPLETED)
+ .order_by("provider_id", "-inserted_at")
+ .distinct("provider_id")
+ .values_list("id", flat=True)
)
-
- annotated_queryset = filtered_queryset.annotate(
- latest_scan_id=Subquery(latest_scan_subquery)
+ filtered_queryset = filtered_queryset.filter(
+ tenant_id=tenant_id, scan_id__in=latest_scan_ids
)
- filtered_queryset = annotated_queryset.filter(scan_id=F("latest_scan_id"))
-
services_data = (
filtered_queryset.values("service")
.annotate(_pass=Sum("_pass"))
diff --git a/api/src/backend/config/celery.py b/api/src/backend/config/celery.py
index 4486a0bf97..4c667b7bc5 100644
--- a/api/src/backend/config/celery.py
+++ b/api/src/backend/config/celery.py
@@ -50,9 +50,9 @@ class RLSTask(Task):
tenant_id = kwargs.get("tenant_id")
with rls_transaction(tenant_id):
- APITask.objects.create(
+ APITask.objects.update_or_create(
id=task_result_instance.task_id,
tenant_id=tenant_id,
- task_runner_task=task_result_instance,
+ defaults={"task_runner_task": task_result_instance},
)
return result
diff --git a/api/src/backend/config/django/base.py b/api/src/backend/config/django/base.py
index 1afa12ec65..8f3f0bb42e 100644
--- a/api/src/backend/config/django/base.py
+++ b/api/src/backend/config/django/base.py
@@ -111,6 +111,7 @@ SPECTACULAR_SETTINGS = {
"PREPROCESSING_HOOKS": [
"drf_spectacular_jsonapi.hooks.fix_nested_path_parameters",
],
+ "TITLE": "API Reference - Prowler",
}
WSGI_APPLICATION = "config.wsgi.application"
@@ -236,3 +237,10 @@ DJANGO_OUTPUT_S3_AWS_SECRET_ACCESS_KEY = env.str(
)
DJANGO_OUTPUT_S3_AWS_SESSION_TOKEN = env.str("DJANGO_OUTPUT_S3_AWS_SESSION_TOKEN", "")
DJANGO_OUTPUT_S3_AWS_DEFAULT_REGION = env.str("DJANGO_OUTPUT_S3_AWS_DEFAULT_REGION", "")
+
+# HTTP Security Headers
+SECURE_CONTENT_TYPE_NOSNIFF = True
+X_FRAME_OPTIONS = "DENY"
+SECURE_REFERRER_POLICY = "strict-origin-when-cross-origin"
+
+DJANGO_DELETION_BATCH_SIZE = env.int("DJANGO_DELETION_BATCH_SIZE", 5000)
diff --git a/api/src/backend/config/settings/sentry.py b/api/src/backend/config/settings/sentry.py
index bb76173b6c..87d08bd6ee 100644
--- a/api/src/backend/config/settings/sentry.py
+++ b/api/src/backend/config/settings/sentry.py
@@ -12,6 +12,8 @@ IGNORED_EXCEPTIONS = [
"UnauthorizedOperation",
"AuthFailure",
"InvalidClientTokenId",
+ "AWSInvalidProviderIdError",
+ "InternalServerErrorException",
"AccessDenied",
"No Shodan API Key", # Shodan Check
"RequestLimitExceeded", # For now we don't want to log the RequestLimitExceeded errors
@@ -33,6 +35,13 @@ IGNORED_EXCEPTIONS = [
"ValidationException",
"AWSSecretAccessKeyInvalidError",
"InvalidAction",
+ "InvalidRequestException",
+ "RequestExpired",
+ "ConnectionClosedError",
+ "MaxRetryError",
+ "AWSAccessKeyIDInvalidError",
+ "AWSSessionTokenExpiredError",
+ "EndpointConnectionError", # AWS Service is not available in a region
"Pool is closed", # The following comes from urllib3: eu-west-1 -- HTTPClientError[126]: An HTTP Client raised an unhandled exception: AWSHTTPSConnectionPool(host='hostname.s3.eu-west-1.amazonaws.com', port=443): Pool is closed.
# Authentication Errors from GCP
"ClientAuthenticationError",
@@ -41,6 +50,8 @@ IGNORED_EXCEPTIONS = [
"Permission denied to get service",
"API has not been used in project",
"HttpError 404 when requesting",
+ "HttpError 403 when requesting",
+ "HttpError 400 when requesting",
"GCPNoAccesibleProjectsError",
# Authentication Errors from Azure
"ClientAuthenticationError",
@@ -49,6 +60,7 @@ IGNORED_EXCEPTIONS = [
"AzureNotValidClientIdError",
"AzureNotValidClientSecretError",
"AzureNotValidTenantIdError",
+ "AzureInvalidProviderIdError",
"AzureTenantIdAndClientSecretNotBelongingToClientIdError",
"AzureTenantIdAndClientIdNotBelongingToClientSecretError",
"AzureClientIdAndClientSecretNotBelongingToTenantIdError",
@@ -85,4 +97,6 @@ sentry_sdk.init(
# possible.
"continuous_profiling_auto_start": True,
},
+ attach_stacktrace=True,
+ ignore_errors=IGNORED_EXCEPTIONS,
)
diff --git a/api/src/backend/config/settings/social_login.py b/api/src/backend/config/settings/social_login.py
index 035a166279..6a48a0c38f 100644
--- a/api/src/backend/config/settings/social_login.py
+++ b/api/src/backend/config/settings/social_login.py
@@ -1,13 +1,13 @@
from config.env import env
-# Google Oauth settings
-GOOGLE_OAUTH_CLIENT_ID = env("DJANGO_GOOGLE_OAUTH_CLIENT_ID", default="")
-GOOGLE_OAUTH_CLIENT_SECRET = env("DJANGO_GOOGLE_OAUTH_CLIENT_SECRET", default="")
-GOOGLE_OAUTH_CALLBACK_URL = env("DJANGO_GOOGLE_OAUTH_CALLBACK_URL", default="")
+# Provider Oauth settings
+GOOGLE_OAUTH_CLIENT_ID = env("SOCIAL_GOOGLE_OAUTH_CLIENT_ID", default="")
+GOOGLE_OAUTH_CLIENT_SECRET = env("SOCIAL_GOOGLE_OAUTH_CLIENT_SECRET", default="")
+GOOGLE_OAUTH_CALLBACK_URL = env("SOCIAL_GOOGLE_OAUTH_CALLBACK_URL", default="")
-GITHUB_OAUTH_CLIENT_ID = env("DJANGO_GITHUB_OAUTH_CLIENT_ID", default="")
-GITHUB_OAUTH_CLIENT_SECRET = env("DJANGO_GITHUB_OAUTH_CLIENT_SECRET", default="")
-GITHUB_OAUTH_CALLBACK_URL = env("DJANGO_GITHUB_OAUTH_CALLBACK_URL", default="")
+GITHUB_OAUTH_CLIENT_ID = env("SOCIAL_GITHUB_OAUTH_CLIENT_ID", default="")
+GITHUB_OAUTH_CLIENT_SECRET = env("SOCIAL_GITHUB_OAUTH_CLIENT_SECRET", default="")
+GITHUB_OAUTH_CALLBACK_URL = env("SOCIAL_GITHUB_OAUTH_CALLBACK_URL", default="")
# Allauth settings
ACCOUNT_LOGIN_METHODS = {"email"} # Use Email / Password authentication
diff --git a/api/src/backend/conftest.py b/api/src/backend/conftest.py
index 9dc406ab5d..e47357f0e4 100644
--- a/api/src/backend/conftest.py
+++ b/api/src/backend/conftest.py
@@ -10,6 +10,7 @@ from django.urls import reverse
from django_celery_results.models import TaskResult
from rest_framework import status
from rest_framework.test import APIClient
+from tasks.jobs.backfill import backfill_resource_scan_summaries
from api.db_utils import rls_transaction
from api.models import (
@@ -655,6 +656,7 @@ def findings_fixture(scans_fixture, resources_fixture):
"Description": "test description orange juice",
},
first_seen_at="2024-01-02T00:00:00Z",
+ muted=True,
)
finding2.add_resources([resource2])
@@ -919,6 +921,55 @@ def integrations_fixture(providers_fixture):
return integration1, integration2
+@pytest.fixture
+def backfill_scan_metadata_fixture(scans_fixture, findings_fixture):
+ for scan_instance in scans_fixture:
+ tenant_id = scan_instance.tenant_id
+ scan_id = scan_instance.id
+ backfill_resource_scan_summaries(tenant_id=tenant_id, scan_id=scan_id)
+
+
+@pytest.fixture(scope="function")
+def latest_scan_finding(authenticated_client, providers_fixture, resources_fixture):
+ provider = providers_fixture[0]
+ tenant_id = str(providers_fixture[0].tenant_id)
+ resource = resources_fixture[0]
+ scan = Scan.objects.create(
+ name="latest completed scan",
+ provider=provider,
+ trigger=Scan.TriggerChoices.MANUAL,
+ state=StateChoices.COMPLETED,
+ tenant_id=tenant_id,
+ )
+ finding = Finding.objects.create(
+ tenant_id=tenant_id,
+ uid="test_finding_uid_1",
+ scan=scan,
+ delta="new",
+ status=Status.FAIL,
+ status_extended="test status extended ",
+ impact=Severity.critical,
+ impact_extended="test impact extended one",
+ severity=Severity.critical,
+ raw_result={
+ "status": Status.FAIL,
+ "impact": Severity.critical,
+ "severity": Severity.critical,
+ },
+ tags={"test": "dev-qa"},
+ check_id="test_check_id",
+ check_metadata={
+ "CheckId": "test_check_id",
+ "Description": "test description apple sauce",
+ },
+ first_seen_at="2024-01-02T00:00:00Z",
+ )
+
+ finding.add_resources([resource])
+ backfill_resource_scan_summaries(tenant_id, str(scan.id))
+ return finding
+
+
def get_authorization_header(access_token: str) -> dict:
return {"Authorization": f"Bearer {access_token}"}
diff --git a/api/src/backend/tasks/jobs/backfill.py b/api/src/backend/tasks/jobs/backfill.py
new file mode 100644
index 0000000000..6c83e6a69b
--- /dev/null
+++ b/api/src/backend/tasks/jobs/backfill.py
@@ -0,0 +1,61 @@
+from api.db_utils import rls_transaction
+from api.models import (
+ Resource,
+ ResourceFindingMapping,
+ ResourceScanSummary,
+ Scan,
+ StateChoices,
+)
+
+
+def backfill_resource_scan_summaries(tenant_id: str, scan_id: str):
+ with rls_transaction(tenant_id):
+ if ResourceScanSummary.objects.filter(
+ tenant_id=tenant_id, scan_id=scan_id
+ ).exists():
+ return {"status": "already backfilled"}
+
+ with rls_transaction(tenant_id):
+ if not Scan.objects.filter(
+ tenant_id=tenant_id,
+ id=scan_id,
+ state__in=(StateChoices.COMPLETED, StateChoices.FAILED),
+ ).exists():
+ return {"status": "scan is not completed"}
+
+ resource_ids_qs = (
+ ResourceFindingMapping.objects.filter(
+ tenant_id=tenant_id, finding__scan_id=scan_id
+ )
+ .values_list("resource_id", flat=True)
+ .distinct()
+ )
+
+ resource_ids = list(resource_ids_qs)
+
+ if not resource_ids:
+ return {"status": "no resources to backfill"}
+
+ resources_qs = Resource.objects.filter(
+ tenant_id=tenant_id, id__in=resource_ids
+ ).only("id", "service", "region", "type")
+
+ summaries = []
+ for resource in resources_qs.iterator():
+ summaries.append(
+ ResourceScanSummary(
+ tenant_id=tenant_id,
+ scan_id=scan_id,
+ resource_id=str(resource.id),
+ service=resource.service,
+ region=resource.region,
+ resource_type=resource.type,
+ )
+ )
+
+ for i in range(0, len(summaries), 500):
+ ResourceScanSummary.objects.bulk_create(
+ summaries[i : i + 500], ignore_conflicts=True
+ )
+
+ return {"status": "backfilled", "inserted": len(summaries)}
diff --git a/api/src/backend/tasks/jobs/deletion.py b/api/src/backend/tasks/jobs/deletion.py
index 74485c8765..1eeb323ab2 100644
--- a/api/src/backend/tasks/jobs/deletion.py
+++ b/api/src/backend/tasks/jobs/deletion.py
@@ -1,5 +1,5 @@
from celery.utils.log import get_task_logger
-from django.db import transaction
+from django.db import DatabaseError
from api.db_router import MainRouter
from api.db_utils import batch_delete, rls_transaction
@@ -8,11 +8,12 @@ from api.models import Finding, Provider, Resource, Scan, ScanSummary, Tenant
logger = get_task_logger(__name__)
-def delete_provider(pk: str):
+def delete_provider(tenant_id: str, pk: str):
"""
Gracefully deletes an instance of a provider along with its related data.
Args:
+ tenant_id (str): Tenant ID the resources belong to.
pk (str): The primary key of the Provider instance to delete.
Returns:
@@ -22,33 +23,31 @@ def delete_provider(pk: str):
Raises:
Provider.DoesNotExist: If no instance with the provided primary key exists.
"""
- instance = Provider.all_objects.get(pk=pk)
- deletion_summary = {}
+ with rls_transaction(tenant_id):
+ instance = Provider.all_objects.get(pk=pk)
+ deletion_summary = {}
+ deletion_steps = [
+ ("Scan Summaries", ScanSummary.all_objects.filter(scan__provider=instance)),
+ ("Findings", Finding.all_objects.filter(scan__provider=instance)),
+ ("Resources", Resource.all_objects.filter(provider=instance)),
+ ("Scans", Scan.all_objects.filter(provider=instance)),
+ ]
- with transaction.atomic():
- # Delete Scan Summaries
- scan_summaries_qs = ScanSummary.all_objects.filter(scan__provider=instance)
- _, scans_summ_summary = batch_delete(scan_summaries_qs)
- deletion_summary.update(scans_summ_summary)
+ for step_name, queryset in deletion_steps:
+ try:
+ _, step_summary = batch_delete(tenant_id, queryset)
+ deletion_summary.update(step_summary)
+ except DatabaseError as db_error:
+ logger.error(f"Error deleting {step_name}: {db_error}")
+ raise
- # Delete Findings
- findings_qs = Finding.all_objects.filter(scan__provider=instance)
- _, findings_summary = batch_delete(findings_qs)
- deletion_summary.update(findings_summary)
-
- # Delete Resources
- resources_qs = Resource.all_objects.filter(provider=instance)
- _, resources_summary = batch_delete(resources_qs)
- deletion_summary.update(resources_summary)
-
- # Delete Scans
- scans_qs = Scan.all_objects.filter(provider=instance)
- _, scans_summary = batch_delete(scans_qs)
- deletion_summary.update(scans_summary)
-
- provider_deleted_count, provider_summary = instance.delete()
+ try:
+ with rls_transaction(tenant_id):
+ _, provider_summary = instance.delete()
deletion_summary.update(provider_summary)
-
+ except DatabaseError as db_error:
+ logger.error(f"Error deleting Provider: {db_error}")
+ raise
return deletion_summary
@@ -66,9 +65,8 @@ def delete_tenant(pk: str):
deletion_summary = {}
for provider in Provider.objects.using(MainRouter.admin_read).filter(tenant_id=pk):
- with rls_transaction(pk):
- summary = delete_provider(provider.id)
- deletion_summary.update(summary)
+ summary = delete_provider(pk, provider.id)
+ deletion_summary.update(summary)
Tenant.objects.using(MainRouter.admin_db).filter(id=pk).delete()
diff --git a/api/src/backend/tasks/jobs/export.py b/api/src/backend/tasks/jobs/export.py
index 11c9e5c4cf..2bda9d6def 100644
--- a/api/src/backend/tasks/jobs/export.py
+++ b/api/src/backend/tasks/jobs/export.py
@@ -13,6 +13,41 @@ from prowler.config.config import (
json_ocsf_file_suffix,
output_file_timestamp,
)
+from prowler.lib.outputs.compliance.aws_well_architected.aws_well_architected import (
+ AWSWellArchitected,
+)
+from prowler.lib.outputs.compliance.cis.cis_aws import AWSCIS
+from prowler.lib.outputs.compliance.cis.cis_azure import AzureCIS
+from prowler.lib.outputs.compliance.cis.cis_gcp import GCPCIS
+from prowler.lib.outputs.compliance.cis.cis_kubernetes import KubernetesCIS
+from prowler.lib.outputs.compliance.cis.cis_m365 import M365CIS
+from prowler.lib.outputs.compliance.ens.ens_aws import AWSENS
+from prowler.lib.outputs.compliance.ens.ens_azure import AzureENS
+from prowler.lib.outputs.compliance.ens.ens_gcp import GCPENS
+from prowler.lib.outputs.compliance.iso27001.iso27001_aws import AWSISO27001
+from prowler.lib.outputs.compliance.iso27001.iso27001_azure import AzureISO27001
+from prowler.lib.outputs.compliance.iso27001.iso27001_gcp import GCPISO27001
+from prowler.lib.outputs.compliance.iso27001.iso27001_kubernetes import (
+ KubernetesISO27001,
+)
+from prowler.lib.outputs.compliance.kisa_ismsp.kisa_ismsp_aws import AWSKISAISMSP
+from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_aws import AWSMitreAttack
+from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_azure import (
+ AzureMitreAttack,
+)
+from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_gcp import GCPMitreAttack
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_aws import (
+ ProwlerThreatScoreAWS,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_azure import (
+ ProwlerThreatScoreAzure,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_gcp import (
+ ProwlerThreatScoreGCP,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_m365 import (
+ ProwlerThreatScoreM365,
+)
from prowler.lib.outputs.csv.csv import CSV
from prowler.lib.outputs.html.html import HTML
from prowler.lib.outputs.ocsf.ocsf import OCSF
@@ -20,6 +55,44 @@ from prowler.lib.outputs.ocsf.ocsf import OCSF
logger = get_task_logger(__name__)
+COMPLIANCE_CLASS_MAP = {
+ "aws": [
+ (lambda name: name.startswith("cis_"), AWSCIS),
+ (lambda name: name == "mitre_attack_aws", AWSMitreAttack),
+ (lambda name: name.startswith("ens_"), AWSENS),
+ (
+ lambda name: name.startswith("aws_well_architected_framework"),
+ AWSWellArchitected,
+ ),
+ (lambda name: name.startswith("iso27001_"), AWSISO27001),
+ (lambda name: name.startswith("kisa"), AWSKISAISMSP),
+ (lambda name: name == "prowler_threatscore_aws", ProwlerThreatScoreAWS),
+ ],
+ "azure": [
+ (lambda name: name.startswith("cis_"), AzureCIS),
+ (lambda name: name == "mitre_attack_azure", AzureMitreAttack),
+ (lambda name: name.startswith("ens_"), AzureENS),
+ (lambda name: name.startswith("iso27001_"), AzureISO27001),
+ (lambda name: name == "prowler_threatscore_azure", ProwlerThreatScoreAzure),
+ ],
+ "gcp": [
+ (lambda name: name.startswith("cis_"), GCPCIS),
+ (lambda name: name == "mitre_attack_gcp", GCPMitreAttack),
+ (lambda name: name.startswith("ens_"), GCPENS),
+ (lambda name: name.startswith("iso27001_"), GCPISO27001),
+ (lambda name: name == "prowler_threatscore_gcp", ProwlerThreatScoreGCP),
+ ],
+ "kubernetes": [
+ (lambda name: name.startswith("cis_"), KubernetesCIS),
+ (lambda name: name.startswith("iso27001_"), KubernetesISO27001),
+ ],
+ "m365": [
+ (lambda name: name.startswith("cis_"), M365CIS),
+ (lambda name: name == "prowler_threatscore_m365", ProwlerThreatScoreM365),
+ ],
+}
+
+
# Predefined mapping for output formats and their configurations
OUTPUT_FORMATS_MAPPING = {
"csv": {
@@ -43,13 +116,17 @@ def _compress_output_files(output_directory: str) -> str:
str: The full path to the newly created ZIP archive.
"""
zip_path = f"{output_directory}.zip"
+ parent_dir = os.path.dirname(output_directory)
+ zip_path_abs = os.path.abspath(zip_path)
with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as zipf:
- for suffix in [config["suffix"] for config in OUTPUT_FORMATS_MAPPING.values()]:
- zipf.write(
- f"{output_directory}{suffix}",
- f"output/{output_directory.split('/')[-1]}{suffix}",
- )
+ for foldername, _, filenames in os.walk(parent_dir):
+ for filename in filenames:
+ file_path = os.path.join(foldername, filename)
+ if os.path.abspath(file_path) == zip_path_abs:
+ continue
+ arcname = os.path.relpath(file_path, start=parent_dir)
+ zipf.write(file_path, arcname)
return zip_path
@@ -102,25 +179,38 @@ def _upload_to_s3(tenant_id: str, zip_path: str, scan_id: str) -> str:
Raises:
botocore.exceptions.ClientError: If the upload attempt to S3 fails for any reason.
"""
- if not base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET:
- return
+ bucket = base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET
+ if not bucket:
+ return None
try:
s3 = get_s3_client()
- s3_key = f"{tenant_id}/{scan_id}/{os.path.basename(zip_path)}"
+
+ # Upload the ZIP file (outputs) to the S3 bucket
+ zip_key = f"{tenant_id}/{scan_id}/{os.path.basename(zip_path)}"
s3.upload_file(
Filename=zip_path,
- Bucket=base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET,
- Key=s3_key,
+ Bucket=bucket,
+ Key=zip_key,
)
- return f"s3://{base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET}/{s3_key}"
+
+ # Upload the compliance directory to the S3 bucket
+ compliance_dir = os.path.join(os.path.dirname(zip_path), "compliance")
+ for filename in os.listdir(compliance_dir):
+ local_path = os.path.join(compliance_dir, filename)
+ if not os.path.isfile(local_path):
+ continue
+ file_key = f"{tenant_id}/{scan_id}/compliance/{filename}"
+ s3.upload_file(Filename=local_path, Bucket=bucket, Key=file_key)
+
+ return f"s3://{base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET}/{zip_key}"
except (ClientError, NoCredentialsError, ParamValidationError, ValueError) as e:
logger.error(f"S3 upload failed: {str(e)}")
def _generate_output_directory(
output_directory, prowler_provider: object, tenant_id: str, scan_id: str
-) -> str:
+) -> tuple[str, str]:
"""
Generate a file system path for the output directory of a prowler scan.
@@ -145,7 +235,8 @@ def _generate_output_directory(
Example:
>>> _generate_output_directory("/tmp", "aws", "tenant-1234", "scan-5678")
- '/tmp/tenant-1234/aws/scan-5678/prowler-output-2023-02-15T12:34:56'
+ '/tmp/tenant-1234/aws/scan-5678/prowler-output-2023-02-15T12:34:56',
+ '/tmp/tenant-1234/aws/scan-5678/compliance/prowler-output-2023-02-15T12:34:56'
"""
path = (
f"{output_directory}/{tenant_id}/{scan_id}/prowler-output-"
@@ -153,4 +244,10 @@ def _generate_output_directory(
)
os.makedirs("/".join(path.split("/")[:-1]), exist_ok=True)
- return path
+ compliance_path = (
+ f"{output_directory}/{tenant_id}/{scan_id}/compliance/prowler-output-"
+ f"{prowler_provider}-{output_file_timestamp}"
+ )
+ os.makedirs("/".join(compliance_path.split("/")[:-1]), exist_ok=True)
+
+ return path, compliance_path
diff --git a/api/src/backend/tasks/jobs/scan.py b/api/src/backend/tasks/jobs/scan.py
index 5c165b4cb4..81fbfbb0e9 100644
--- a/api/src/backend/tasks/jobs/scan.py
+++ b/api/src/backend/tasks/jobs/scan.py
@@ -1,3 +1,4 @@
+import json
import time
from copy import deepcopy
from datetime import datetime, timezone
@@ -6,6 +7,7 @@ from celery.utils.log import get_task_logger
from config.settings.celery import CELERY_DEADLOCK_ATTEMPTS
from django.db import IntegrityError, OperationalError
from django.db.models import Case, Count, IntegerField, Sum, When
+from tasks.utils import CustomEncoder
from api.compliance import (
PROWLER_COMPLIANCE_OVERVIEW_TEMPLATE,
@@ -17,6 +19,7 @@ from api.models import (
Finding,
Provider,
Resource,
+ ResourceScanSummary,
ResourceTag,
Scan,
ScanSummary,
@@ -119,6 +122,7 @@ def perform_prowler_scan(
check_status_by_region = {}
exception = None
unique_resources = set()
+ scan_resource_cache: set[tuple[str, str, str, str]] = set()
start_time = time.time()
with rls_transaction(tenant_id):
@@ -191,6 +195,17 @@ def perform_prowler_scan(
if resource_instance.type != finding.resource_type:
resource_instance.type = finding.resource_type
updated_fields.append("type")
+ if resource_instance.metadata != finding.resource_metadata:
+ resource_instance.metadata = json.dumps(
+ finding.resource_metadata, cls=CustomEncoder
+ )
+ updated_fields.append("metadata")
+ if resource_instance.details != finding.resource_details:
+ resource_instance.details = finding.resource_details
+ updated_fields.append("details")
+ if resource_instance.partition != finding.partition:
+ resource_instance.partition = finding.partition
+ updated_fields.append("partition")
if updated_fields:
with rls_transaction(tenant_id):
resource_instance.save(update_fields=updated_fields)
@@ -267,6 +282,8 @@ def perform_prowler_scan(
check_id=finding.check_id,
scan=scan_instance,
first_seen_at=last_first_seen_at,
+ muted=finding.muted,
+ compliance=finding.compliance,
)
finding_instance.add_resources([resource_instance])
@@ -280,6 +297,16 @@ def perform_prowler_scan(
continue
region_dict[finding.check_id] = finding.status.value
+ # Update scan resource summaries
+ scan_resource_cache.add(
+ (
+ str(resource_instance.id),
+ resource_instance.service,
+ resource_instance.region,
+ resource_instance.type,
+ )
+ )
+
# Update scan progress
with rls_transaction(tenant_id):
scan_instance.progress = progress
@@ -299,66 +326,90 @@ def perform_prowler_scan(
scan_instance.unique_resource_count = len(unique_resources)
scan_instance.save()
- if exception is None:
- try:
- regions = prowler_provider.get_regions()
- except AttributeError:
- regions = set()
-
- compliance_template = PROWLER_COMPLIANCE_OVERVIEW_TEMPLATE[
- provider_instance.provider
- ]
- compliance_overview_by_region = {
- region: deepcopy(compliance_template) for region in regions
- }
-
- for region, check_status in check_status_by_region.items():
- compliance_data = compliance_overview_by_region.setdefault(
- region, deepcopy(compliance_template)
- )
- for check_name, status in check_status.items():
- generate_scan_compliance(
- compliance_data,
- provider_instance.provider,
- check_name,
- status,
- )
-
- # Prepare compliance overview objects
- compliance_overview_objects = []
- for region, compliance_data in compliance_overview_by_region.items():
- for compliance_id, compliance in compliance_data.items():
- compliance_overview_objects.append(
- ComplianceOverview(
- tenant_id=tenant_id,
- scan=scan_instance,
- region=region,
- compliance_id=compliance_id,
- framework=compliance["framework"],
- version=compliance["version"],
- description=compliance["description"],
- requirements=compliance["requirements"],
- requirements_passed=compliance["requirements_status"]["passed"],
- requirements_failed=compliance["requirements_status"]["failed"],
- requirements_manual=compliance["requirements_status"]["manual"],
- total_requirements=compliance["total_requirements"],
- )
- )
- try:
- with rls_transaction(tenant_id):
- ComplianceOverview.objects.bulk_create(
- compliance_overview_objects, batch_size=100
- )
- except Exception as overview_exception:
- import sentry_sdk
-
- sentry_sdk.capture_exception(overview_exception)
- logger.error(
- f"Error storing compliance overview for scan {scan_id}: {overview_exception}"
- )
if exception is not None:
raise exception
+ try:
+ regions = prowler_provider.get_regions()
+ except AttributeError:
+ regions = set()
+
+ compliance_template = PROWLER_COMPLIANCE_OVERVIEW_TEMPLATE[
+ provider_instance.provider
+ ]
+ compliance_overview_by_region = {
+ region: deepcopy(compliance_template) for region in regions
+ }
+
+ for region, check_status in check_status_by_region.items():
+ compliance_data = compliance_overview_by_region.setdefault(
+ region, deepcopy(compliance_template)
+ )
+ for check_name, status in check_status.items():
+ generate_scan_compliance(
+ compliance_data,
+ provider_instance.provider,
+ check_name,
+ status,
+ )
+
+ # Prepare compliance overview objects
+ compliance_overview_objects = []
+ for region, compliance_data in compliance_overview_by_region.items():
+ for compliance_id, compliance in compliance_data.items():
+ compliance_overview_objects.append(
+ ComplianceOverview(
+ tenant_id=tenant_id,
+ scan=scan_instance,
+ region=region,
+ compliance_id=compliance_id,
+ framework=compliance["framework"],
+ version=compliance["version"],
+ description=compliance["description"],
+ requirements=compliance["requirements"],
+ requirements_passed=compliance["requirements_status"]["passed"],
+ requirements_failed=compliance["requirements_status"]["failed"],
+ requirements_manual=compliance["requirements_status"]["manual"],
+ total_requirements=compliance["total_requirements"],
+ )
+ )
+ try:
+ with rls_transaction(tenant_id):
+ ComplianceOverview.objects.bulk_create(
+ compliance_overview_objects, batch_size=500
+ )
+ except Exception as overview_exception:
+ import sentry_sdk
+
+ sentry_sdk.capture_exception(overview_exception)
+ logger.error(
+ f"Error storing compliance overview for scan {scan_id}: {overview_exception}"
+ )
+
+ try:
+ resource_scan_summaries = [
+ ResourceScanSummary(
+ tenant_id=tenant_id,
+ scan_id=scan_id,
+ resource_id=resource_id,
+ service=service,
+ region=region,
+ resource_type=resource_type,
+ )
+ for resource_id, service, region, resource_type in scan_resource_cache
+ ]
+ with rls_transaction(tenant_id):
+ ResourceScanSummary.objects.bulk_create(
+ resource_scan_summaries, batch_size=500, ignore_conflicts=True
+ )
+ except Exception as filter_exception:
+ import sentry_sdk
+
+ sentry_sdk.capture_exception(filter_exception)
+ logger.error(
+ f"Error storing filter values for scan {scan_id}: {filter_exception}"
+ )
+
serializer = ScanTaskSerializer(instance=scan_instance)
return serializer.data
@@ -402,21 +453,21 @@ def aggregate_findings(tenant_id: str, scan_id: str):
).annotate(
fail=Sum(
Case(
- When(status="FAIL", then=1),
+ When(status="FAIL", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
_pass=Sum(
Case(
- When(status="PASS", then=1),
+ When(status="PASS", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
- muted=Sum(
+ muted_count=Sum(
Case(
- When(status="MUTED", then=1),
+ When(muted=True, then=1),
default=0,
output_field=IntegerField(),
)
@@ -424,63 +475,63 @@ def aggregate_findings(tenant_id: str, scan_id: str):
total=Count("id"),
new=Sum(
Case(
- When(delta="new", then=1),
+ When(delta="new", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
changed=Sum(
Case(
- When(delta="changed", then=1),
+ When(delta="changed", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
unchanged=Sum(
Case(
- When(delta__isnull=True, then=1),
+ When(delta__isnull=True, muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
fail_new=Sum(
Case(
- When(delta="new", status="FAIL", then=1),
+ When(delta="new", status="FAIL", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
fail_changed=Sum(
Case(
- When(delta="changed", status="FAIL", then=1),
+ When(delta="changed", status="FAIL", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
pass_new=Sum(
Case(
- When(delta="new", status="PASS", then=1),
+ When(delta="new", status="PASS", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
pass_changed=Sum(
Case(
- When(delta="changed", status="PASS", then=1),
+ When(delta="changed", status="PASS", muted=False, then=1),
default=0,
output_field=IntegerField(),
)
),
muted_new=Sum(
Case(
- When(delta="new", status="MUTED", then=1),
+ When(delta="new", muted=True, then=1),
default=0,
output_field=IntegerField(),
)
),
muted_changed=Sum(
Case(
- When(delta="changed", status="MUTED", then=1),
+ When(delta="changed", muted=True, then=1),
default=0,
output_field=IntegerField(),
)
@@ -498,7 +549,7 @@ def aggregate_findings(tenant_id: str, scan_id: str):
region=agg["resources__region"],
fail=agg["fail"],
_pass=agg["_pass"],
- muted=agg["muted"],
+ muted=agg["muted_count"],
total=agg["total"],
new=agg["new"],
changed=agg["changed"],
diff --git a/api/src/backend/tasks/tasks.py b/api/src/backend/tasks/tasks.py
index 607f3cacdd..090c0c33d3 100644
--- a/api/src/backend/tasks/tasks.py
+++ b/api/src/backend/tasks/tasks.py
@@ -1,3 +1,5 @@
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
from shutil import rmtree
from celery import chain, shared_task
@@ -5,9 +7,11 @@ from celery.utils.log import get_task_logger
from config.celery import RLSTask
from config.django.base import DJANGO_FINDINGS_BATCH_SIZE, DJANGO_TMP_OUTPUT_DIRECTORY
from django_celery_beat.models import PeriodicTask
+from tasks.jobs.backfill import backfill_resource_scan_summaries
from tasks.jobs.connection import check_provider_connection
from tasks.jobs.deletion import delete_provider, delete_tenant
from tasks.jobs.export import (
+ COMPLIANCE_CLASS_MAP,
OUTPUT_FORMATS_MAPPING,
_compress_output_files,
_generate_output_directory,
@@ -16,10 +20,14 @@ from tasks.jobs.export import (
from tasks.jobs.scan import aggregate_findings, perform_prowler_scan
from tasks.utils import batched, get_next_execution_datetime
+from api.compliance import get_compliance_frameworks
from api.db_utils import rls_transaction
from api.decorators import set_tenant
from api.models import Finding, Provider, Scan, ScanSummary, StateChoices
from api.utils import initialize_prowler_provider
+from api.v1.serializers import ScanTaskSerializer
+from prowler.lib.check.compliance_models import Compliance
+from prowler.lib.outputs.compliance.generic.generic import GenericCompliance
from prowler.lib.outputs.finding import Finding as FindingOutput
logger = get_task_logger(__name__)
@@ -42,9 +50,10 @@ def check_provider_connection_task(provider_id: str):
return check_provider_connection(provider_id=provider_id)
-@shared_task(base=RLSTask, name="provider-deletion", queue="deletion")
-@set_tenant
-def delete_provider_task(provider_id: str):
+@shared_task(
+ base=RLSTask, name="provider-deletion", queue="deletion", autoretry_for=(Exception,)
+)
+def delete_provider_task(provider_id: str, tenant_id: str):
"""
Task to delete a specific Provider instance.
@@ -52,6 +61,7 @@ def delete_provider_task(provider_id: str):
Args:
provider_id (str): The primary key of the `Provider` instance to be deleted.
+ tenant_id (str): Tenant ID the provider belongs to.
Returns:
tuple: A tuple containing:
@@ -59,7 +69,7 @@ def delete_provider_task(provider_id: str):
- A dictionary with the count of deleted instances per model,
including related models if cascading deletes were triggered.
"""
- return delete_provider(pk=provider_id)
+ return delete_provider(tenant_id=tenant_id, pk=provider_id)
@shared_task(base=RLSTask, name="scan-perform", queue="scans")
@@ -125,6 +135,43 @@ def perform_scheduled_scan_task(self, tenant_id: str, provider_id: str):
periodic_task_instance = PeriodicTask.objects.get(
name=f"scan-perform-scheduled-{provider_id}"
)
+
+ executed_scan = Scan.objects.filter(
+ tenant_id=tenant_id,
+ provider_id=provider_id,
+ task__task_runner_task__task_id=task_id,
+ ).order_by("completed_at")
+
+ if (
+ Scan.objects.filter(
+ tenant_id=tenant_id,
+ provider_id=provider_id,
+ trigger=Scan.TriggerChoices.SCHEDULED,
+ state=StateChoices.EXECUTING,
+ scheduler_task_id=periodic_task_instance.id,
+ scheduled_at__date=datetime.now(timezone.utc).date(),
+ ).exists()
+ or executed_scan.exists()
+ ):
+ # Duplicated task execution due to visibility timeout or scan is already running
+ logger.warning(f"Duplicated scheduled scan for provider {provider_id}.")
+ try:
+ affected_scan = executed_scan.first()
+ if not affected_scan:
+ raise ValueError(
+ "Error retrieving affected scan details after detecting duplicated scheduled "
+ "scan."
+ )
+ # Return the affected scan details to avoid losing data
+ serializer = ScanTaskSerializer(instance=affected_scan)
+ except Exception as duplicated_scan_exception:
+ logger.error(
+ f"Duplicated scheduled scan for provider {provider_id}. Error retrieving affected scan details: "
+ f"{str(duplicated_scan_exception)}"
+ )
+ raise duplicated_scan_exception
+ return serializer.data
+
next_scan_datetime = get_next_execution_datetime(task_id, provider_id)
scan_instance, _ = Scan.objects.get_or_create(
tenant_id=tenant_id,
@@ -132,7 +179,11 @@ def perform_scheduled_scan_task(self, tenant_id: str, provider_id: str):
trigger=Scan.TriggerChoices.SCHEDULED,
state__in=(StateChoices.SCHEDULED, StateChoices.AVAILABLE),
scheduler_task_id=periodic_task_instance.id,
- defaults={"state": StateChoices.SCHEDULED},
+ defaults={
+ "state": StateChoices.SCHEDULED,
+ "name": "Daily scheduled scan",
+ "scheduled_at": next_scan_datetime - timedelta(days=1),
+ },
)
scan_instance.task_id = task_id
@@ -173,7 +224,7 @@ def perform_scan_summary_task(tenant_id: str, scan_id: str):
return aggregate_findings(tenant_id=tenant_id, scan_id=scan_id)
-@shared_task(name="tenant-deletion", queue="deletion")
+@shared_task(name="tenant-deletion", queue="deletion", autoretry_for=(Exception,))
def delete_tenant_task(tenant_id: str):
return delete_tenant(pk=tenant_id)
@@ -200,80 +251,123 @@ def generate_outputs(scan_id: str, provider_id: str, tenant_id: str):
scan_id (str): The scan identifier.
provider_id (str): The provider_id id to be used in generating outputs.
"""
- # Initialize the prowler provider
- prowler_provider = initialize_prowler_provider(Provider.objects.get(id=provider_id))
+ # Check if the scan has findings
+ if not ScanSummary.objects.filter(scan_id=scan_id).exists():
+ logger.info(f"No findings found for scan {scan_id}")
+ return {"upload": False}
- # Get the provider UID
- provider_uid = Provider.objects.get(id=provider_id).uid
+ provider_obj = Provider.objects.get(id=provider_id)
+ prowler_provider = initialize_prowler_provider(provider_obj)
+ provider_uid = provider_obj.uid
+ provider_type = provider_obj.provider
- # Generate and ensure the output directory exists
- output_directory = _generate_output_directory(
+ frameworks_bulk = Compliance.get_bulk(provider_type)
+ frameworks_avail = get_compliance_frameworks(provider_type)
+ out_dir, comp_dir = _generate_output_directory(
DJANGO_TMP_OUTPUT_DIRECTORY, provider_uid, tenant_id, scan_id
)
- # Define auxiliary variables
+ def get_writer(writer_map, name, factory, is_last):
+ """
+ Return existing writer_map[name] or create via factory().
+ In both cases set `.close_file = is_last`.
+ """
+ initialization = False
+ if name not in writer_map:
+ writer_map[name] = factory()
+ initialization = True
+ w = writer_map[name]
+ w.close_file = is_last
+
+ return w, initialization
+
output_writers = {}
+ compliance_writers = {}
+
scan_summary = FindingOutput._transform_findings_stats(
ScanSummary.objects.filter(scan_id=scan_id)
)
- # Retrieve findings queryset
- findings_qs = Finding.all_objects.filter(scan_id=scan_id).order_by("uid")
+ qs = Finding.all_objects.filter(scan_id=scan_id).order_by("uid").iterator()
+ for batch, is_last in batched(qs, DJANGO_FINDINGS_BATCH_SIZE):
+ fos = [FindingOutput.transform_api_finding(f, prowler_provider) for f in batch]
- # Process findings in batches
- for batch, is_last_batch in batched(
- findings_qs.iterator(), DJANGO_FINDINGS_BATCH_SIZE
- ):
- finding_outputs = [
- FindingOutput.transform_api_finding(finding, prowler_provider)
- for finding in batch
- ]
-
- # Generate output files
- for mode, config in OUTPUT_FORMATS_MAPPING.items():
- kwargs = dict(config.get("kwargs", {}))
+ # Outputs
+ for mode, cfg in OUTPUT_FORMATS_MAPPING.items():
+ cls = cfg["class"]
+ suffix = cfg["suffix"]
+ extra = cfg.get("kwargs", {}).copy()
if mode == "html":
- kwargs["provider"] = prowler_provider
- kwargs["stats"] = scan_summary
+ extra.update(provider=prowler_provider, stats=scan_summary)
- writer_class = config["class"]
- if writer_class in output_writers:
- writer = output_writers[writer_class]
- writer.transform(finding_outputs)
- writer.close_file = is_last_batch
- else:
- writer = writer_class(
- findings=finding_outputs,
- file_path=output_directory,
- file_extension=config["suffix"],
+ writer, initialization = get_writer(
+ output_writers,
+ cls,
+ lambda cls=cls, fos=fos, suffix=suffix: cls(
+ findings=fos,
+ file_path=out_dir,
+ file_extension=suffix,
from_cli=False,
- )
- writer.close_file = is_last_batch
- output_writers[writer_class] = writer
+ ),
+ is_last,
+ )
+ if not initialization:
+ writer.transform(fos)
+ writer.batch_write_data_to_file(**extra)
+ writer._data.clear()
- # Write the current batch using the writer
- writer.batch_write_data_to_file(**kwargs)
+ # Compliance CSVs
+ for name in frameworks_avail:
+ compliance_obj = frameworks_bulk[name]
- # TODO: Refactor the output classes to avoid this manual reset
- writer._data = []
+ klass = GenericCompliance
+ for condition, cls in COMPLIANCE_CLASS_MAP.get(provider_type, []):
+ if condition(name):
+ klass = cls
+ break
- # Compress output files
- output_directory = _compress_output_files(output_directory)
+ filename = f"{comp_dir}_{name}.csv"
- # Save to configured storage
- uploaded = _upload_to_s3(tenant_id, output_directory, scan_id)
+ writer, initialization = get_writer(
+ compliance_writers,
+ name,
+ lambda klass=klass, fos=fos: klass(
+ findings=fos,
+ compliance=compliance_obj,
+ file_path=filename,
+ from_cli=False,
+ ),
+ is_last,
+ )
+ if not initialization:
+ writer.transform(fos, compliance_obj, name)
+ writer.batch_write_data_to_file()
+ writer._data.clear()
- if uploaded:
- output_directory = uploaded
- uploaded = True
- # Remove the local files after upload
- rmtree(DJANGO_TMP_OUTPUT_DIRECTORY, ignore_errors=True)
+ compressed = _compress_output_files(out_dir)
+ upload_uri = _upload_to_s3(tenant_id, compressed, scan_id)
+
+ if upload_uri:
+ try:
+ rmtree(Path(compressed).parent, ignore_errors=True)
+ except Exception as e:
+ logger.error(f"Error deleting output files: {e}")
+ final_location, did_upload = upload_uri, True
else:
- uploaded = False
+ final_location, did_upload = compressed, False
- # Update the scan instance with the output path
- Scan.all_objects.filter(id=scan_id).update(output_location=output_directory)
+ Scan.all_objects.filter(id=scan_id).update(output_location=final_location)
+ logger.info(f"Scan outputs at {final_location}")
+ return {"upload": did_upload}
- logger.info(f"Scan output files generated, output location: {output_directory}")
- return {"upload": uploaded}
+@shared_task(name="backfill-scan-resource-summaries", queue="backfill")
+def backfill_scan_resource_summaries_task(tenant_id: str, scan_id: str):
+ """
+ Tries to backfill the resource scan summaries table for a given scan.
+
+ Args:
+ tenant_id (str): The tenant identifier.
+ scan_id (str): The scan identifier.
+ """
+ return backfill_resource_scan_summaries(tenant_id=tenant_id, scan_id=scan_id)
diff --git a/api/src/backend/tasks/tests/test_backfill.py b/api/src/backend/tasks/tests/test_backfill.py
new file mode 100644
index 0000000000..b436f13151
--- /dev/null
+++ b/api/src/backend/tasks/tests/test_backfill.py
@@ -0,0 +1,79 @@
+from uuid import uuid4
+
+import pytest
+from tasks.jobs.backfill import backfill_resource_scan_summaries
+
+from api.models import ResourceScanSummary, Scan, StateChoices
+
+
+@pytest.mark.django_db
+class TestBackfillResourceScanSummaries:
+ @pytest.fixture(scope="function")
+ def resource_scan_summary_data(self, scans_fixture):
+ scan = scans_fixture[0]
+ return ResourceScanSummary.objects.create(
+ tenant_id=scan.tenant_id,
+ scan_id=scan.id,
+ resource_id=str(uuid4()),
+ service="aws",
+ region="us-east-1",
+ resource_type="instance",
+ )
+
+ @pytest.fixture(scope="function")
+ def get_not_completed_scans(self, providers_fixture):
+ provider_id = providers_fixture[0].id
+ tenant_id = providers_fixture[0].tenant_id
+ scan_1 = Scan.objects.create(
+ tenant_id=tenant_id,
+ trigger=Scan.TriggerChoices.MANUAL,
+ state=StateChoices.EXECUTING,
+ provider_id=provider_id,
+ )
+ scan_2 = Scan.objects.create(
+ tenant_id=tenant_id,
+ trigger=Scan.TriggerChoices.MANUAL,
+ state=StateChoices.AVAILABLE,
+ provider_id=provider_id,
+ )
+ return scan_1, scan_2
+
+ def test_already_backfilled(self, resource_scan_summary_data):
+ tenant_id = resource_scan_summary_data.tenant_id
+ scan_id = resource_scan_summary_data.scan_id
+
+ result = backfill_resource_scan_summaries(tenant_id, scan_id)
+
+ assert result == {"status": "already backfilled"}
+
+ def test_not_completed_scan(self, get_not_completed_scans):
+ for scan_instance in get_not_completed_scans:
+ tenant_id = scan_instance.tenant_id
+ scan_id = scan_instance.id
+ result = backfill_resource_scan_summaries(tenant_id, scan_id)
+
+ assert result == {"status": "scan is not completed"}
+
+ def test_successful_backfill_inserts_one_summary(
+ self, resources_fixture, findings_fixture
+ ):
+ tenant_id = findings_fixture[0].tenant_id
+ scan_id = findings_fixture[0].scan_id
+
+ # This scan affects the first two resources
+ resources = resources_fixture[:2]
+
+ result = backfill_resource_scan_summaries(tenant_id, scan_id)
+ assert result == {"status": "backfilled", "inserted": len(resources)}
+
+ # Verify correct values
+ summaries = ResourceScanSummary.objects.filter(
+ tenant_id=tenant_id, scan_id=scan_id
+ )
+ assert summaries.count() == len(resources)
+ for resource in resources:
+ summary = summaries.get(resource_id=resource.id)
+ assert summary.resource_id == resource.id
+ assert summary.service == resource.service
+ assert summary.region == resource.region
+ assert summary.resource_type == resource.type
diff --git a/api/src/backend/tasks/tests/test_deletion.py b/api/src/backend/tasks/tests/test_deletion.py
index 00d218e192..81cdb44daa 100644
--- a/api/src/backend/tasks/tests/test_deletion.py
+++ b/api/src/backend/tasks/tests/test_deletion.py
@@ -9,17 +9,19 @@ from api.models import Provider, Tenant
class TestDeleteProvider:
def test_delete_provider_success(self, providers_fixture):
instance = providers_fixture[0]
- result = delete_provider(instance.id)
+ tenant_id = str(instance.tenant_id)
+ result = delete_provider(tenant_id, instance.id)
assert result
with pytest.raises(ObjectDoesNotExist):
Provider.objects.get(pk=instance.id)
- def test_delete_provider_does_not_exist(self):
+ def test_delete_provider_does_not_exist(self, tenants_fixture):
+ tenant_id = str(tenants_fixture[0].id)
non_existent_pk = "babf6796-cfcc-4fd3-9dcf-88d012247645"
with pytest.raises(ObjectDoesNotExist):
- delete_provider(non_existent_pk)
+ delete_provider(tenant_id, non_existent_pk)
@pytest.mark.django_db
diff --git a/api/src/backend/tasks/tests/test_export.py b/api/src/backend/tasks/tests/test_export.py
new file mode 100644
index 0000000000..6811fe7449
--- /dev/null
+++ b/api/src/backend/tasks/tests/test_export.py
@@ -0,0 +1,147 @@
+import os
+import zipfile
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+from botocore.exceptions import ClientError
+from tasks.jobs.export import (
+ _compress_output_files,
+ _generate_output_directory,
+ _upload_to_s3,
+ get_s3_client,
+)
+
+
+@pytest.mark.django_db
+class TestOutputs:
+ def test_compress_output_files_creates_zip(self, tmpdir):
+ base_tmp = Path(str(tmpdir.mkdir("compress_output")))
+ output_dir = base_tmp / "output"
+ output_dir.mkdir()
+ file_path = output_dir / "result.csv"
+ file_path.write_text("data")
+
+ zip_path = _compress_output_files(str(output_dir))
+
+ assert zip_path.endswith(".zip")
+ assert os.path.exists(zip_path)
+ with zipfile.ZipFile(zip_path, "r") as zipf:
+ assert "output/result.csv" in zipf.namelist()
+
+ @patch("tasks.jobs.export.boto3.client")
+ @patch("tasks.jobs.export.settings")
+ def test_get_s3_client_success(self, mock_settings, mock_boto_client):
+ mock_settings.DJANGO_OUTPUT_S3_AWS_ACCESS_KEY_ID = "test"
+ mock_settings.DJANGO_OUTPUT_S3_AWS_SECRET_ACCESS_KEY = "test"
+ mock_settings.DJANGO_OUTPUT_S3_AWS_SESSION_TOKEN = "token"
+ mock_settings.DJANGO_OUTPUT_S3_AWS_DEFAULT_REGION = "eu-west-1"
+
+ client_mock = MagicMock()
+ mock_boto_client.return_value = client_mock
+
+ client = get_s3_client()
+ assert client is not None
+ client_mock.list_buckets.assert_called()
+
+ @patch("tasks.jobs.export.boto3.client")
+ @patch("tasks.jobs.export.settings")
+ def test_get_s3_client_fallback(self, mock_settings, mock_boto_client):
+ mock_boto_client.side_effect = [
+ ClientError({"Error": {"Code": "403"}}, "ListBuckets"),
+ MagicMock(),
+ ]
+ client = get_s3_client()
+ assert client is not None
+
+ @patch("tasks.jobs.export.get_s3_client")
+ @patch("tasks.jobs.export.base")
+ def test_upload_to_s3_success(self, mock_base, mock_get_client, tmpdir):
+ mock_base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET = "test-bucket"
+
+ base_tmp = Path(str(tmpdir.mkdir("upload_success")))
+ zip_path = base_tmp / "outputs.zip"
+ zip_path.write_bytes(b"dummy")
+
+ compliance_dir = base_tmp / "compliance"
+ compliance_dir.mkdir()
+ (compliance_dir / "report.csv").write_text("ok")
+
+ client_mock = MagicMock()
+ mock_get_client.return_value = client_mock
+
+ result = _upload_to_s3("tenant-id", str(zip_path), "scan-id")
+
+ expected_uri = "s3://test-bucket/tenant-id/scan-id/outputs.zip"
+ assert result == expected_uri
+ assert client_mock.upload_file.call_count == 2
+
+ @patch("tasks.jobs.export.get_s3_client")
+ @patch("tasks.jobs.export.base")
+ def test_upload_to_s3_missing_bucket(self, mock_base, mock_get_client):
+ mock_base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET = ""
+ result = _upload_to_s3("tenant", "/tmp/fake.zip", "scan")
+ assert result is None
+
+ @patch("tasks.jobs.export.get_s3_client")
+ @patch("tasks.jobs.export.base")
+ def test_upload_to_s3_skips_non_files(self, mock_base, mock_get_client, tmpdir):
+ mock_base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET = "test-bucket"
+ base_tmp = Path(str(tmpdir.mkdir("upload_skips_non_files")))
+
+ zip_path = base_tmp / "results.zip"
+ zip_path.write_bytes(b"zip")
+
+ compliance_dir = base_tmp / "compliance"
+ compliance_dir.mkdir()
+ (compliance_dir / "subdir").mkdir()
+
+ client_mock = MagicMock()
+ mock_get_client.return_value = client_mock
+
+ result = _upload_to_s3("tenant", str(zip_path), "scan")
+
+ expected_uri = "s3://test-bucket/tenant/scan/results.zip"
+ assert result == expected_uri
+ client_mock.upload_file.assert_called_once()
+
+ @patch(
+ "tasks.jobs.export.get_s3_client",
+ side_effect=ClientError({"Error": {}}, "Upload"),
+ )
+ @patch("tasks.jobs.export.base")
+ @patch("tasks.jobs.export.logger.error")
+ def test_upload_to_s3_failure_logs_error(
+ self, mock_logger, mock_base, mock_get_client, tmpdir
+ ):
+ mock_base.DJANGO_OUTPUT_S3_AWS_OUTPUT_BUCKET = "bucket"
+
+ base_tmp = Path(str(tmpdir.mkdir("upload_failure_logs")))
+ zip_path = base_tmp / "zipfile.zip"
+ zip_path.write_bytes(b"zip")
+
+ compliance_dir = base_tmp / "compliance"
+ compliance_dir.mkdir()
+ (compliance_dir / "report.csv").write_text("csv")
+
+ _upload_to_s3("tenant", str(zip_path), "scan")
+ mock_logger.assert_called()
+
+ def test_generate_output_directory_creates_paths(self, tmpdir):
+ from prowler.config.config import output_file_timestamp
+
+ base_tmp = Path(str(tmpdir.mkdir("generate_output")))
+ base_dir = str(base_tmp)
+ tenant_id = "t1"
+ scan_id = "s1"
+ provider = "aws"
+
+ path, compliance = _generate_output_directory(
+ base_dir, provider, tenant_id, scan_id
+ )
+
+ assert os.path.isdir(os.path.dirname(path))
+ assert os.path.isdir(os.path.dirname(compliance))
+
+ assert path.endswith(f"{provider}-{output_file_timestamp}")
+ assert compliance.endswith(f"{provider}-{output_file_timestamp}")
diff --git a/api/src/backend/tasks/tests/test_scan.py b/api/src/backend/tasks/tests/test_scan.py
index 78ba36fde8..8880b8bd03 100644
--- a/api/src/backend/tasks/tests/test_scan.py
+++ b/api/src/backend/tasks/tests/test_scan.py
@@ -1,3 +1,4 @@
+import json
import uuid
from unittest.mock import MagicMock, patch
@@ -7,6 +8,7 @@ from tasks.jobs.scan import (
_store_resources,
perform_prowler_scan,
)
+from tasks.utils import CustomEncoder
from api.models import (
Finding,
@@ -107,7 +109,13 @@ class TestPerformScan:
finding.service_name = "service_name"
finding.resource_type = "resource_type"
finding.resource_tags = {"tag1": "value1", "tag2": "value2"}
+ finding.muted = False
finding.raw = {}
+ finding.resource_metadata = {"test": "metadata"}
+ finding.resource_details = {"details": "test"}
+ finding.partition = "partition"
+ finding.muted = True
+ finding.compliance = {"compliance1": "PASS"}
# Mock the ProwlerScan instance
mock_prowler_scan_instance = MagicMock()
@@ -145,6 +153,8 @@ class TestPerformScan:
assert scan_finding.severity == finding.severity
assert scan_finding.check_id == finding.check_id
assert scan_finding.raw_result == finding.raw
+ assert scan_finding.muted
+ assert scan_finding.compliance == finding.compliance
assert scan_resource.tenant == tenant
assert scan_resource.uid == finding.resource_uid
@@ -152,6 +162,11 @@ class TestPerformScan:
assert scan_resource.service == finding.service_name
assert scan_resource.type == finding.resource_type
assert scan_resource.name == finding.resource_name
+ assert scan_resource.metadata == json.dumps(
+ finding.resource_metadata, cls=CustomEncoder
+ )
+ assert scan_resource.details == f"{finding.resource_details}"
+ assert scan_resource.partition == finding.partition
# Assert that the resource tags have been created and associated
tags = scan_resource.tags.all()
diff --git a/api/src/backend/tasks/tests/test_tasks.py b/api/src/backend/tasks/tests/test_tasks.py
new file mode 100644
index 0000000000..5f7c3fd94f
--- /dev/null
+++ b/api/src/backend/tasks/tests/test_tasks.py
@@ -0,0 +1,415 @@
+import uuid
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+from tasks.tasks import generate_outputs
+
+
+@pytest.mark.django_db
+class TestGenerateOutputs:
+ def setup_method(self):
+ self.scan_id = str(uuid.uuid4())
+ self.provider_id = str(uuid.uuid4())
+ self.tenant_id = str(uuid.uuid4())
+
+ def test_no_findings_returns_early(self):
+ with patch("tasks.tasks.ScanSummary.objects.filter") as mock_filter:
+ mock_filter.return_value.exists.return_value = False
+
+ result = generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+
+ assert result == {"upload": False}
+ mock_filter.assert_called_once_with(scan_id=self.scan_id)
+
+ @patch("tasks.tasks.rmtree")
+ @patch("tasks.tasks._upload_to_s3")
+ @patch("tasks.tasks._compress_output_files")
+ @patch("tasks.tasks.get_compliance_frameworks")
+ @patch("tasks.tasks.Compliance.get_bulk")
+ @patch("tasks.tasks.initialize_prowler_provider")
+ @patch("tasks.tasks.Provider.objects.get")
+ @patch("tasks.tasks.ScanSummary.objects.filter")
+ @patch("tasks.tasks.Finding.all_objects.filter")
+ def test_generate_outputs_happy_path(
+ self,
+ mock_finding_filter,
+ mock_scan_summary_filter,
+ mock_provider_get,
+ mock_initialize_provider,
+ mock_compliance_get_bulk,
+ mock_get_available_frameworks,
+ mock_compress,
+ mock_upload,
+ mock_rmtree,
+ ):
+ mock_scan_summary_filter.return_value.exists.return_value = True
+
+ mock_provider = MagicMock()
+ mock_provider.uid = "provider-uid"
+ mock_provider.provider = "aws"
+ mock_provider_get.return_value = mock_provider
+
+ prowler_provider = MagicMock()
+ mock_initialize_provider.return_value = prowler_provider
+
+ mock_compliance_get_bulk.return_value = {"cis": MagicMock()}
+ mock_get_available_frameworks.return_value = ["cis"]
+
+ dummy_finding = MagicMock(uid="f1")
+ mock_finding_filter.return_value.order_by.return_value.iterator.return_value = [
+ [dummy_finding],
+ True,
+ ]
+
+ mock_transformed_stats = {"some": "stats"}
+ with (
+ patch(
+ "tasks.tasks.FindingOutput._transform_findings_stats",
+ return_value=mock_transformed_stats,
+ ),
+ patch(
+ "tasks.tasks.FindingOutput.transform_api_finding",
+ return_value={"transformed": "f1"},
+ ),
+ patch(
+ "tasks.tasks.OUTPUT_FORMATS_MAPPING",
+ {
+ "json": {
+ "class": MagicMock(name="JSONWriter"),
+ "suffix": ".json",
+ "kwargs": {},
+ }
+ },
+ ),
+ patch(
+ "tasks.tasks.COMPLIANCE_CLASS_MAP",
+ {"aws": [(lambda x: True, MagicMock(name="CSVCompliance"))]},
+ ),
+ patch(
+ "tasks.tasks._generate_output_directory",
+ return_value=("out-dir", "comp-dir"),
+ ),
+ patch("tasks.tasks.Scan.all_objects.filter") as mock_scan_update,
+ ):
+ mock_compress.return_value = "/tmp/zipped.zip"
+ mock_upload.return_value = "s3://bucket/zipped.zip"
+
+ result = generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+
+ assert result == {"upload": True}
+ mock_scan_update.return_value.update.assert_called_once_with(
+ output_location="s3://bucket/zipped.zip"
+ )
+ mock_rmtree.assert_called_once_with(
+ Path("/tmp/zipped.zip").parent, ignore_errors=True
+ )
+
+ def test_generate_outputs_fails_upload(self):
+ with (
+ patch("tasks.tasks.ScanSummary.objects.filter") as mock_filter,
+ patch("tasks.tasks.Provider.objects.get"),
+ patch("tasks.tasks.initialize_prowler_provider"),
+ patch("tasks.tasks.Compliance.get_bulk"),
+ patch("tasks.tasks.get_compliance_frameworks"),
+ patch("tasks.tasks.Finding.all_objects.filter") as mock_findings,
+ patch(
+ "tasks.tasks._generate_output_directory", return_value=("out", "comp")
+ ),
+ patch("tasks.tasks.FindingOutput._transform_findings_stats"),
+ patch("tasks.tasks.FindingOutput.transform_api_finding"),
+ patch(
+ "tasks.tasks.OUTPUT_FORMATS_MAPPING",
+ {
+ "json": {
+ "class": MagicMock(name="Writer"),
+ "suffix": ".json",
+ "kwargs": {},
+ }
+ },
+ ),
+ patch(
+ "tasks.tasks.COMPLIANCE_CLASS_MAP",
+ {"aws": [(lambda x: True, MagicMock())]},
+ ),
+ patch("tasks.tasks._compress_output_files", return_value="/tmp/compressed"),
+ patch("tasks.tasks._upload_to_s3", return_value=None),
+ patch("tasks.tasks.Scan.all_objects.filter") as mock_scan_update,
+ ):
+ mock_filter.return_value.exists.return_value = True
+ mock_findings.return_value.order_by.return_value.iterator.return_value = [
+ [MagicMock()],
+ True,
+ ]
+
+ result = generate_outputs(
+ scan_id="scan",
+ provider_id="provider",
+ tenant_id=self.tenant_id,
+ )
+
+ assert result == {"upload": False}
+ mock_scan_update.return_value.update.assert_called_once()
+
+ def test_generate_outputs_triggers_html_extra_update(self):
+ mock_finding_output = MagicMock()
+ mock_finding_output.compliance = {"cis": ["requirement-1", "requirement-2"]}
+
+ with (
+ patch("tasks.tasks.ScanSummary.objects.filter") as mock_filter,
+ patch("tasks.tasks.Provider.objects.get"),
+ patch("tasks.tasks.initialize_prowler_provider"),
+ patch("tasks.tasks.Compliance.get_bulk", return_value={"cis": MagicMock()}),
+ patch("tasks.tasks.get_compliance_frameworks", return_value=["cis"]),
+ patch("tasks.tasks.Finding.all_objects.filter") as mock_findings,
+ patch(
+ "tasks.tasks._generate_output_directory", return_value=("out", "comp")
+ ),
+ patch(
+ "tasks.tasks.FindingOutput._transform_findings_stats",
+ return_value={"some": "stats"},
+ ),
+ patch(
+ "tasks.tasks.FindingOutput.transform_api_finding",
+ return_value=mock_finding_output,
+ ),
+ patch("tasks.tasks._compress_output_files", return_value="/tmp/compressed"),
+ patch("tasks.tasks._upload_to_s3", return_value="s3://bucket/f.zip"),
+ patch("tasks.tasks.Scan.all_objects.filter"),
+ ):
+ mock_filter.return_value.exists.return_value = True
+ mock_findings.return_value.order_by.return_value.iterator.return_value = [
+ [MagicMock()],
+ True,
+ ]
+
+ html_writer_mock = MagicMock()
+ with (
+ patch(
+ "tasks.tasks.OUTPUT_FORMATS_MAPPING",
+ {
+ "html": {
+ "class": lambda *args, **kwargs: html_writer_mock,
+ "suffix": ".html",
+ "kwargs": {},
+ }
+ },
+ ),
+ patch(
+ "tasks.tasks.COMPLIANCE_CLASS_MAP",
+ {"aws": [(lambda x: True, MagicMock())]},
+ ),
+ ):
+ generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+ html_writer_mock.batch_write_data_to_file.assert_called_once()
+
+ def test_transform_called_only_on_second_batch(self):
+ raw1 = MagicMock()
+ raw2 = MagicMock()
+
+ tf1 = MagicMock()
+ tf1.compliance = {}
+ tf2 = MagicMock()
+ tf2.compliance = {}
+
+ writer_instances = []
+
+ class TrackingWriter:
+ def __init__(self, findings, file_path, file_extension, from_cli):
+ self.transform_called = 0
+ self.batch_write_data_to_file = MagicMock()
+ self._data = []
+ self.close_file = False
+ writer_instances.append(self)
+
+ def transform(self, fos):
+ self.transform_called += 1
+
+ with (
+ patch("tasks.tasks.ScanSummary.objects.filter") as mock_summary,
+ patch("tasks.tasks.Provider.objects.get"),
+ patch("tasks.tasks.initialize_prowler_provider"),
+ patch("tasks.tasks.Compliance.get_bulk"),
+ patch("tasks.tasks.get_compliance_frameworks", return_value=[]),
+ patch("tasks.tasks.FindingOutput._transform_findings_stats"),
+ patch(
+ "tasks.tasks.FindingOutput.transform_api_finding",
+ side_effect=[tf1, tf2],
+ ),
+ patch(
+ "tasks.tasks._generate_output_directory",
+ return_value=("outdir", "compdir"),
+ ),
+ patch("tasks.tasks._compress_output_files", return_value="outdir.zip"),
+ patch("tasks.tasks._upload_to_s3", return_value="s3://bucket/outdir.zip"),
+ patch("tasks.tasks.rmtree"),
+ patch("tasks.tasks.Scan.all_objects.filter"),
+ patch(
+ "tasks.tasks.batched",
+ return_value=[
+ ([raw1], False),
+ ([raw2], True),
+ ],
+ ),
+ ):
+ mock_summary.return_value.exists.return_value = True
+
+ with patch(
+ "tasks.tasks.OUTPUT_FORMATS_MAPPING",
+ {
+ "json": {
+ "class": TrackingWriter,
+ "suffix": ".json",
+ "kwargs": {},
+ }
+ },
+ ):
+ result = generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+
+ assert result == {"upload": True}
+ assert len(writer_instances) == 1
+ writer = writer_instances[0]
+ assert writer.transform_called == 1
+
+ def test_compliance_transform_called_on_second_batch(self):
+ raw1 = MagicMock()
+ raw2 = MagicMock()
+ compliance_obj = MagicMock()
+ writer_instances = []
+
+ class TrackingComplianceWriter:
+ def __init__(self, *args, **kwargs):
+ self.transform_calls = []
+ self._data = []
+ writer_instances.append(self)
+
+ def transform(self, fos, comp_obj, name):
+ self.transform_calls.append((fos, comp_obj, name))
+
+ def batch_write_data_to_file(self):
+ pass
+
+ two_batches = [
+ ([raw1], False),
+ ([raw2], True),
+ ]
+
+ with (
+ patch("tasks.tasks.ScanSummary.objects.filter") as mock_summary,
+ patch(
+ "tasks.tasks.Provider.objects.get",
+ return_value=MagicMock(uid="UID", provider="aws"),
+ ),
+ patch("tasks.tasks.initialize_prowler_provider"),
+ patch(
+ "tasks.tasks.Compliance.get_bulk", return_value={"cis": compliance_obj}
+ ),
+ patch("tasks.tasks.get_compliance_frameworks", return_value=["cis"]),
+ patch(
+ "tasks.tasks._generate_output_directory",
+ return_value=("outdir", "compdir"),
+ ),
+ patch("tasks.tasks.FindingOutput._transform_findings_stats"),
+ patch(
+ "tasks.tasks.FindingOutput.transform_api_finding",
+ side_effect=lambda f, prov: f,
+ ),
+ patch("tasks.tasks._compress_output_files", return_value="outdir.zip"),
+ patch("tasks.tasks._upload_to_s3", return_value="s3://bucket/outdir.zip"),
+ patch("tasks.tasks.rmtree"),
+ patch(
+ "tasks.tasks.Scan.all_objects.filter",
+ return_value=MagicMock(update=lambda **kw: None),
+ ),
+ patch("tasks.tasks.batched", return_value=two_batches),
+ patch("tasks.tasks.OUTPUT_FORMATS_MAPPING", {}),
+ patch(
+ "tasks.tasks.COMPLIANCE_CLASS_MAP",
+ {"aws": [(lambda name: True, TrackingComplianceWriter)]},
+ ),
+ ):
+ mock_summary.return_value.exists.return_value = True
+
+ result = generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+
+ assert len(writer_instances) == 1
+ writer = writer_instances[0]
+ assert writer.transform_calls == [([raw2], compliance_obj, "cis")]
+ assert result == {"upload": True}
+
+ def test_generate_outputs_logs_rmtree_exception(self, caplog):
+ mock_finding_output = MagicMock()
+ mock_finding_output.compliance = {"cis": ["requirement-1", "requirement-2"]}
+
+ with (
+ patch("tasks.tasks.ScanSummary.objects.filter") as mock_filter,
+ patch("tasks.tasks.Provider.objects.get"),
+ patch("tasks.tasks.initialize_prowler_provider"),
+ patch("tasks.tasks.Compliance.get_bulk", return_value={"cis": MagicMock()}),
+ patch("tasks.tasks.get_compliance_frameworks", return_value=["cis"]),
+ patch("tasks.tasks.Finding.all_objects.filter") as mock_findings,
+ patch(
+ "tasks.tasks._generate_output_directory", return_value=("out", "comp")
+ ),
+ patch(
+ "tasks.tasks.FindingOutput._transform_findings_stats",
+ return_value={"some": "stats"},
+ ),
+ patch(
+ "tasks.tasks.FindingOutput.transform_api_finding",
+ return_value=mock_finding_output,
+ ),
+ patch("tasks.tasks._compress_output_files", return_value="/tmp/compressed"),
+ patch("tasks.tasks._upload_to_s3", return_value="s3://bucket/file.zip"),
+ patch("tasks.tasks.Scan.all_objects.filter"),
+ patch("tasks.tasks.rmtree", side_effect=Exception("Test deletion error")),
+ ):
+ mock_filter.return_value.exists.return_value = True
+ mock_findings.return_value.order_by.return_value.iterator.return_value = [
+ [MagicMock()],
+ True,
+ ]
+
+ with (
+ patch(
+ "tasks.tasks.OUTPUT_FORMATS_MAPPING",
+ {
+ "json": {
+ "class": lambda *args, **kwargs: MagicMock(),
+ "suffix": ".json",
+ "kwargs": {},
+ }
+ },
+ ),
+ patch(
+ "tasks.tasks.COMPLIANCE_CLASS_MAP",
+ {"aws": [(lambda x: True, MagicMock())]},
+ ),
+ ):
+ with caplog.at_level("ERROR"):
+ generate_outputs(
+ scan_id=self.scan_id,
+ provider_id=self.provider_id,
+ tenant_id=self.tenant_id,
+ )
+ assert "Error deleting output files" in caplog.text
diff --git a/api/src/backend/tasks/utils.py b/api/src/backend/tasks/utils.py
index 26a5aac01f..21e30c9e29 100644
--- a/api/src/backend/tasks/utils.py
+++ b/api/src/backend/tasks/utils.py
@@ -1,9 +1,32 @@
+import json
from datetime import datetime, timedelta, timezone
+from enum import Enum
from django_celery_beat.models import PeriodicTask
from django_celery_results.models import TaskResult
+class CustomEncoder(json.JSONEncoder):
+ def default(self, o):
+ # Enum serialization
+ if isinstance(o, Enum):
+ return o.value
+ # Datetime and timedelta serialization
+ if isinstance(o, datetime):
+ return o.isoformat(timespec="seconds")
+ if isinstance(o, timedelta):
+ return o.total_seconds()
+
+ # Custom object serialization
+ try:
+ return super().default(o)
+ except TypeError:
+ try:
+ return o.__dict__
+ except AttributeError:
+ return str(o)
+
+
def get_next_execution_datetime(task_id: int, provider_id: str) -> datetime:
task_instance = TaskResult.objects.get(task_id=task_id)
try:
diff --git a/prowler/compliance/microsoft365/__init__.py b/api/tests/performance/__init__.py
similarity index 100%
rename from prowler/compliance/microsoft365/__init__.py
rename to api/tests/performance/__init__.py
diff --git a/api/tests/performance/benchmark.py b/api/tests/performance/benchmark.py
new file mode 100644
index 0000000000..c527a3c729
--- /dev/null
+++ b/api/tests/performance/benchmark.py
@@ -0,0 +1,156 @@
+#!/usr/bin/env python3
+import argparse
+import os
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import pandas as pd
+
+plt.style.use("ggplot")
+
+
+def run_locust(
+ locust_file: str,
+ host: str,
+ users: int,
+ hatch_rate: int,
+ run_time: str,
+ csv_prefix: Path,
+) -> Path:
+ artifacts_dir = Path("artifacts")
+ artifacts_dir.mkdir(parents=True, exist_ok=True)
+
+ cmd = [
+ "locust",
+ "-f",
+ f"scenarios/{locust_file}",
+ "--headless",
+ "-u",
+ str(users),
+ "-r",
+ str(hatch_rate),
+ "-t",
+ run_time,
+ "--host",
+ host,
+ "--csv",
+ str(artifacts_dir / csv_prefix.name),
+ ]
+ print(f"Running Locust: {' '.join(cmd)}")
+ process = subprocess.run(cmd)
+ if process.returncode:
+ sys.exit("Locust execution failed")
+
+ stats_file = artifacts_dir / f"{csv_prefix.stem}_stats.csv"
+ if not stats_file.exists():
+ sys.exit(f"Stats CSV not found: {stats_file}")
+ return stats_file
+
+
+def load_percentiles(csv_path: Path) -> pd.DataFrame:
+ df = pd.read_csv(csv_path)
+ mapping = {"50%": "p50", "75%": "p75", "90%": "p90", "95%": "p95"}
+ available = [col for col in mapping if col in df.columns]
+ renamed = {col: mapping[col] for col in available}
+ df = df.rename(columns=renamed).set_index("Name")[renamed.values()]
+ return df.drop(index=["Aggregated"], errors="ignore")
+
+
+def sanitize_label(label: str) -> str:
+ text = re.sub(r"[^\w]+", "_", label.strip().lower())
+ return text.strip("_")
+
+
+def plot_multi_comparison(metrics: dict[str, pd.DataFrame]) -> None:
+ common = sorted(set.intersection(*(set(df.index) for df in metrics.values())))
+ percentiles = list(next(iter(metrics.values())).columns)
+ groups = len(metrics)
+ width = 0.8 / groups
+
+ for endpoint in common:
+ fig, ax = plt.subplots(figsize=(10, 5), dpi=100)
+ for idx, (label, df) in enumerate(metrics.items()):
+ series = df.loc[endpoint]
+ positions = [
+ i + (idx - groups / 2) * width + width / 2
+ for i in range(len(percentiles))
+ ]
+ bars = ax.bar(positions, series.values, width, label=label)
+ for bar in bars:
+ height = bar.get_height()
+ ax.annotate(
+ f"{int(height)}",
+ xy=(bar.get_x() + bar.get_width() / 2, height),
+ xytext=(0, 3),
+ textcoords="offset points",
+ ha="center",
+ va="bottom",
+ fontsize=8,
+ )
+
+ ax.set_xticks(range(len(percentiles)))
+ ax.set_xticklabels(percentiles)
+ ax.set_ylabel("Latency (ms)")
+ ax.set_title(endpoint, fontsize=12)
+ ax.grid(True, axis="y", linestyle="--", alpha=0.7)
+
+ fig.tight_layout()
+ fig.subplots_adjust(right=0.75)
+ ax.legend(loc="center left", bbox_to_anchor=(1, 0.5), framealpha=0.9)
+
+ output = Path("artifacts") / f"comparison_{sanitize_label(endpoint)}.png"
+ plt.savefig(output)
+ plt.close(fig)
+ print(f"Saved chart: {output}")
+
+
+def main() -> None:
+ parser = argparse.ArgumentParser(description="Run Locust and compare metrics")
+ parser.add_argument("--locustfile", required=True, help="Locust file in scenarios/")
+ parser.add_argument("--host", required=True, help="Target host URL")
+ parser.add_argument(
+ "--users", type=int, default=10, help="Number of simulated users"
+ )
+ parser.add_argument("--rate", type=int, default=1, help="Hatch rate per second")
+ parser.add_argument("--time", default="1m", help="Test duration (e.g. 30s, 1m)")
+ parser.add_argument(
+ "--metrics-dir", default="baselines", help="Directory with CSV baselines"
+ )
+ parser.add_argument("--version", default="current", help="Test version")
+ args = parser.parse_args()
+
+ metrics_dir = Path(args.metrics_dir)
+ os.makedirs(metrics_dir, exist_ok=True)
+
+ metrics_data: dict[str, pd.DataFrame] = {}
+ for csv_file in sorted(metrics_dir.glob("*.csv")):
+ metrics_data[csv_file.stem] = load_percentiles(csv_file)
+
+ current_prefix = Path(args.version)
+ current_csv = run_locust(
+ locust_file=args.locustfile,
+ host=args.host,
+ users=args.users,
+ hatch_rate=args.rate,
+ run_time=args.time,
+ csv_prefix=current_prefix,
+ )
+ metrics_data[args.version] = load_percentiles(current_csv)
+
+ for endpoint in sorted(
+ set.intersection(*(set(df.index) for df in metrics_data.values()))
+ ):
+ parts = [endpoint]
+ for label, df in metrics_data.items():
+ s = df.loc[endpoint]
+ parts.append(f"{label}: p50 {s.p50}, p75 {s.p75}, p90 {s.p90}, p95 {s.p95}")
+ print(" | ".join(parts))
+
+ plot_multi_comparison(metrics_data)
+
+
+if __name__ == "__main__":
+ main()
diff --git a/api/tests/performance/requirements.txt b/api/tests/performance/requirements.txt
new file mode 100644
index 0000000000..3b713953c7
--- /dev/null
+++ b/api/tests/performance/requirements.txt
@@ -0,0 +1,3 @@
+locust==2.34.1
+matplotlib==3.10.1
+pandas==2.2.3
diff --git a/prowler/providers/microsoft365/__init__.py b/api/tests/performance/scenarios/__init__.py
similarity index 100%
rename from prowler/providers/microsoft365/__init__.py
rename to api/tests/performance/scenarios/__init__.py
diff --git a/api/tests/performance/scenarios/findings.py b/api/tests/performance/scenarios/findings.py
new file mode 100644
index 0000000000..acd32f2497
--- /dev/null
+++ b/api/tests/performance/scenarios/findings.py
@@ -0,0 +1,216 @@
+from locust import events, task
+from utils.config import (
+ FINDINGS_UI_SORT_VALUES,
+ L_PROVIDER_NAME,
+ M_PROVIDER_NAME,
+ S_PROVIDER_NAME,
+ TARGET_INSERTED_AT,
+)
+from utils.helpers import (
+ APIUserBase,
+ get_api_token,
+ get_auth_headers,
+ get_next_resource_filter,
+ get_resource_filters_pairs,
+ get_scan_id_from_provider_name,
+ get_sort_value,
+)
+
+GLOBAL = {
+ "token": None,
+ "scan_ids": {},
+ "resource_filters": None,
+ "large_resource_filters": None,
+}
+
+
+@events.test_start.add_listener
+def on_test_start(environment, **kwargs):
+ GLOBAL["token"] = get_api_token(environment.host)
+
+ GLOBAL["scan_ids"]["small"] = get_scan_id_from_provider_name(
+ environment.host, GLOBAL["token"], S_PROVIDER_NAME
+ )
+ GLOBAL["scan_ids"]["medium"] = get_scan_id_from_provider_name(
+ environment.host, GLOBAL["token"], M_PROVIDER_NAME
+ )
+ GLOBAL["scan_ids"]["large"] = get_scan_id_from_provider_name(
+ environment.host, GLOBAL["token"], L_PROVIDER_NAME
+ )
+
+ GLOBAL["resource_filters"] = get_resource_filters_pairs(
+ environment.host, GLOBAL["token"]
+ )
+ GLOBAL["large_resource_filters"] = get_resource_filters_pairs(
+ environment.host, GLOBAL["token"], GLOBAL["scan_ids"]["large"]
+ )
+
+
+class APIUser(APIUserBase):
+ def on_start(self):
+ self.token = GLOBAL["token"]
+ self.s_scan_id = GLOBAL["scan_ids"]["small"]
+ self.m_scan_id = GLOBAL["scan_ids"]["medium"]
+ self.l_scan_id = GLOBAL["scan_ids"]["large"]
+ self.available_resource_filters = GLOBAL["resource_filters"]
+ self.available_resource_filters_large_scan = GLOBAL["large_resource_filters"]
+
+ @task
+ def findings_default(self):
+ name = "/findings"
+ page_number = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page_number}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[inserted_at]={TARGET_INSERTED_AT}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task(3)
+ def findings_default_include(self):
+ name = "/findings?include"
+ page = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[inserted_at]={TARGET_INSERTED_AT}"
+ f"&include=scan.provider,resources"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task(3)
+ def findings_metadata(self):
+ endpoint = f"/findings/metadata?" f"filter[inserted_at]={TARGET_INSERTED_AT}"
+ self.client.get(
+ endpoint, headers=get_auth_headers(self.token), name="/findings/metadata"
+ )
+
+ @task
+ def findings_scan_small(self):
+ name = "/findings?filter[scan_id] - 50k"
+ page_number = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page_number}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[scan]={self.s_scan_id}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task
+ def findings_metadata_scan_small(self):
+ endpoint = f"/findings/metadata?" f"&filter[scan]={self.s_scan_id}"
+ self.client.get(
+ endpoint,
+ headers=get_auth_headers(self.token),
+ name="/findings/metadata?filter[scan_id] - 50k",
+ )
+
+ @task(2)
+ def findings_scan_medium(self):
+ name = "/findings?filter[scan_id] - 250k"
+ page_number = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page_number}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[scan]={self.m_scan_id}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task
+ def findings_metadata_scan_medium(self):
+ endpoint = f"/findings/metadata?" f"&filter[scan]={self.m_scan_id}"
+ self.client.get(
+ endpoint,
+ headers=get_auth_headers(self.token),
+ name="/findings/metadata?filter[scan_id] - 250k",
+ )
+
+ @task
+ def findings_scan_large(self):
+ name = "/findings?filter[scan_id] - 500k"
+ page_number = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page_number}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[scan]={self.l_scan_id}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task
+ def findings_scan_large_include(self):
+ name = "/findings?filter[scan_id]&include - 500k"
+ page_number = self._next_page(name)
+ endpoint = (
+ f"/findings?page[number]={page_number}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[scan]={self.l_scan_id}"
+ f"&include=scan.provider,resources"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task
+ def findings_metadata_scan_large(self):
+ endpoint = f"/findings/metadata?" f"&filter[scan]={self.l_scan_id}"
+ self.client.get(
+ endpoint,
+ headers=get_auth_headers(self.token),
+ name="/findings/metadata?filter[scan_id] - 500k",
+ )
+
+ @task(2)
+ def findings_resource_filter(self):
+ name = "/findings?filter[resource_filter]&include"
+ filter_name, filter_value = get_next_resource_filter(
+ self.available_resource_filters
+ )
+
+ endpoint = (
+ f"/findings?filter[{filter_name}]={filter_value}"
+ f"&filter[inserted_at]={TARGET_INSERTED_AT}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&include=scan.provider,resources"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task(3)
+ def findings_metadata_resource_filter(self):
+ name = "/findings/metadata?filter[resource_filter]"
+ filter_name, filter_value = get_next_resource_filter(
+ self.available_resource_filters
+ )
+
+ endpoint = (
+ f"/findings/metadata?filter[{filter_name}]={filter_value}"
+ f"&filter[inserted_at]={TARGET_INSERTED_AT}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task(3)
+ def findings_metadata_resource_filter_scan_large(self):
+ name = "/findings/metadata?filter[resource_filter]&filter[scan_id] - 500k"
+ filter_name, filter_value = get_next_resource_filter(
+ self.available_resource_filters
+ )
+
+ endpoint = (
+ f"/findings/metadata?filter[{filter_name}]={filter_value}"
+ f"&filter[scan]={self.l_scan_id}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
+
+ @task(2)
+ def findings_resource_filter_large_scan_include(self):
+ name = "/findings?filter[resource_filter][scan]&include - 500k"
+ filter_name, filter_value = get_next_resource_filter(
+ self.available_resource_filters
+ )
+
+ endpoint = (
+ f"/findings?filter[{filter_name}]={filter_value}"
+ f"&{get_sort_value(FINDINGS_UI_SORT_VALUES)}"
+ f"&filter[scan]={self.l_scan_id}"
+ f"&include=scan.provider,resources"
+ )
+ self.client.get(endpoint, headers=get_auth_headers(self.token), name=name)
diff --git a/prowler/providers/microsoft365/lib/__init__.py b/api/tests/performance/utils/__init__.py
similarity index 100%
rename from prowler/providers/microsoft365/lib/__init__.py
rename to api/tests/performance/utils/__init__.py
diff --git a/api/tests/performance/utils/config.py b/api/tests/performance/utils/config.py
new file mode 100644
index 0000000000..febc5e0a24
--- /dev/null
+++ b/api/tests/performance/utils/config.py
@@ -0,0 +1,19 @@
+import os
+
+USER_EMAIL = os.environ.get("USER_EMAIL")
+USER_PASSWORD = os.environ.get("USER_PASSWORD")
+
+BASE_HEADERS = {"Content-Type": "application/vnd.api+json"}
+
+FINDINGS_UI_SORT_VALUES = ["severity", "status", "-inserted_at"]
+TARGET_INSERTED_AT = os.environ.get("TARGET_INSERTED_AT", "2025-04-22")
+
+FINDINGS_RESOURCE_METADATA = {
+ "regions": "region",
+ "resource_types": "resource_type",
+ "services": "service",
+}
+
+S_PROVIDER_NAME = "provider-50k"
+M_PROVIDER_NAME = "provider-250k"
+L_PROVIDER_NAME = "provider-500k"
diff --git a/api/tests/performance/utils/helpers.py b/api/tests/performance/utils/helpers.py
new file mode 100644
index 0000000000..999a2d55c8
--- /dev/null
+++ b/api/tests/performance/utils/helpers.py
@@ -0,0 +1,168 @@
+import random
+from collections import defaultdict
+from threading import Lock
+
+import requests
+from locust import HttpUser, between
+from utils.config import (
+ BASE_HEADERS,
+ FINDINGS_RESOURCE_METADATA,
+ TARGET_INSERTED_AT,
+ USER_EMAIL,
+ USER_PASSWORD,
+)
+
+_global_page_counters = defaultdict(int)
+_page_lock = Lock()
+
+
+class APIUserBase(HttpUser):
+ """
+ Base class for API user simulation in Locust performance tests.
+
+ Attributes:
+ abstract (bool): Indicates this is an abstract user class.
+ wait_time: Time between task executions, randomized between 1 and 5 seconds.
+ """
+
+ abstract = True
+ wait_time = between(1, 5)
+
+ def _next_page(self, endpoint_name: str) -> int:
+ """
+ Returns the next page number for a given endpoint. Thread-safe.
+
+ Args:
+ endpoint_name (str): Name of the API endpoint being paginated.
+
+ Returns:
+ int: The next page number for the given endpoint.
+ """
+ with _page_lock:
+ _global_page_counters[endpoint_name] += 1
+ return _global_page_counters[endpoint_name]
+
+
+def get_next_resource_filter(available_values: dict) -> tuple:
+ """
+ Randomly selects a filter type and value from available options.
+
+ Args:
+ available_values (dict): Dictionary with filter types as keys and list of possible values.
+
+ Returns:
+ tuple: A (filter_type, filter_value) pair randomly selected.
+ """
+ filter_type = random.choice(list(available_values.keys()))
+ filter_value = random.choice(available_values[filter_type])
+ return filter_type, filter_value
+
+
+def get_auth_headers(token: str) -> dict:
+ """
+ Returns the headers for the API requests.
+
+ Args:
+ token (str): The token to be included in the headers.
+
+ Returns:
+ dict: The headers for the API requests.
+ """
+ return {
+ "Authorization": f"Bearer {token}",
+ **BASE_HEADERS,
+ }
+
+
+def get_api_token(host: str) -> str:
+ """
+ Authenticates with the API and retrieves a bearer token.
+
+ Args:
+ host (str): The host URL of the API.
+
+ Returns:
+ str: The access token for authenticated requests.
+
+ Raises:
+ AssertionError: If the request fails or does not return a 200 status code.
+ """
+ login_payload = {
+ "data": {
+ "type": "tokens",
+ "attributes": {"email": USER_EMAIL, "password": USER_PASSWORD},
+ }
+ }
+ response = requests.post(f"{host}/tokens", json=login_payload, headers=BASE_HEADERS)
+ assert response.status_code == 200, f"Failed to get token: {response.text}"
+ return response.json()["data"]["attributes"]["access"]
+
+
+def get_scan_id_from_provider_name(host: str, token: str, provider_name: str) -> str:
+ """
+ Retrieves the scan ID associated with a specific provider name.
+
+ Args:
+ host (str): The host URL of the API.
+ token (str): Bearer token for authentication.
+ provider_name (str): Name of the provider to filter scans by.
+
+ Returns:
+ str: The ID of the scan.
+
+ Raises:
+ AssertionError: If the request fails or does not return a 200 status code.
+ """
+ response = requests.get(
+ f"{host}/scans?fields[scans]=id&filter[provider_alias]={provider_name}",
+ headers=get_auth_headers(token),
+ )
+ assert response.status_code == 200, f"Failed to get scan: {response.text}"
+ return response.json()["data"][0]["id"]
+
+
+def get_resource_filters_pairs(host: str, token: str, scan_id: str = "") -> dict:
+ """
+ Retrieves and maps resource metadata filter values from the findings endpoint.
+
+ Args:
+ host (str): The host URL of the API.
+ token (str): Bearer token for authentication.
+ scan_id (str, optional): Optional scan ID to filter metadata. Defaults to using inserted_at timestamp.
+
+ Returns:
+ dict: A dictionary of resource filter metadata.
+
+ Raises:
+ AssertionError: If the request fails or does not return a 200 status code.
+ """
+ metadata_filters = (
+ f"filter[scan]={scan_id}"
+ if scan_id
+ else f"filter[inserted_at]={TARGET_INSERTED_AT}"
+ )
+ response = requests.get(
+ f"{host}/findings/metadata?{metadata_filters}", headers=get_auth_headers(token)
+ )
+ assert (
+ response.status_code == 200
+ ), f"Failed to get resource filters values: {response.text}"
+ attributes = response.json()["data"]["attributes"]
+ return {
+ FINDINGS_RESOURCE_METADATA[key]: values
+ for key, values in attributes.items()
+ if key in FINDINGS_RESOURCE_METADATA.keys()
+ }
+
+
+def get_sort_value(sort_values: list) -> str:
+ """
+ Constructs a sort query string from a list of sort keys.
+
+ Args:
+ sort_values (list): The list of sort values to include in the query.
+
+ Returns:
+ str: A formatted sort query string (e.g., "sort=created_at,-severity").
+ """
+ return f"sort={','.join(sort_values)}"
diff --git a/contrib/aws/multi-account-securityhub/run-prowler-securityhub.sh b/contrib/aws/multi-account-securityhub/run-prowler-securityhub.sh
index 51fef78f77..c101da8613 100755
--- a/contrib/aws/multi-account-securityhub/run-prowler-securityhub.sh
+++ b/contrib/aws/multi-account-securityhub/run-prowler-securityhub.sh
@@ -1,6 +1,9 @@
#!/bin/bash
# Run Prowler against All AWS Accounts in an AWS Organization
+# Activate Poetry Environment
+eval "$(poetry env activate)"
+
# Show Prowler Version
prowler -v
diff --git a/contrib/aws/org-multi-account/src/run-prowler-reports.sh b/contrib/aws/org-multi-account/src/run-prowler-reports.sh
index 350ceefb6b..b7488b12e2 100644
--- a/contrib/aws/org-multi-account/src/run-prowler-reports.sh
+++ b/contrib/aws/org-multi-account/src/run-prowler-reports.sh
@@ -89,7 +89,7 @@ for accountId in $ACCOUNTS_IN_ORGS; do
# Run Prowler
echo -e "Assessing AWS Account: $accountId, using Role: $ROLE on $(date)"
# remove -g cislevel for a full report and add other formats if needed
- ./prowler/prowler.py --role arn:"$PARTITION":iam::"$accountId":role/"$ROLE" --compliance cis_1.5_aws -M html
+ ./prowler/prowler-cli.py --role arn:"$PARTITION":iam::"$accountId":role/"$ROLE" --compliance cis_1.5_aws -M html
echo "Report stored locally at: prowler/output/ directory"
TOTAL_SEC=$((SECONDS - START_TIME))
echo -e "Completed AWS Account: $accountId, using Role: $ROLE on $(date)"
diff --git a/contrib/k8s/cronjob.yml b/contrib/k8s/cronjob.yml
index 26bf13a6b5..87ad6d05f2 100644
--- a/contrib/k8s/cronjob.yml
+++ b/contrib/k8s/cronjob.yml
@@ -17,7 +17,7 @@ spec:
image: toniblyx/prowler:latest
imagePullPolicy: Always
command:
- - "./prowler.py"
+ - "./prowler-cli.py"
args: [ "-B", "$(awsS3Bucket)" ]
env:
- name: AWS_ACCESS_KEY_ID
diff --git a/contrib/k8s/helm/prowler-api/values.yaml b/contrib/k8s/helm/prowler-api/values.yaml
index 16cd48058c..40a7fda298 100644
--- a/contrib/k8s/helm/prowler-api/values.yaml
+++ b/contrib/k8s/helm/prowler-api/values.yaml
@@ -399,7 +399,6 @@ mainConfig:
[
"RSA-1024",
"P-192",
- "SHA-1",
]
# AWS EKS Configuration
diff --git a/contrib/k8s/helm/prowler-cli/templates/job.yaml b/contrib/k8s/helm/prowler-cli/templates/job.yaml
index 1cb0c078ea..408c28dfac 100644
--- a/contrib/k8s/helm/prowler-cli/templates/job.yaml
+++ b/contrib/k8s/helm/prowler-cli/templates/job.yaml
@@ -16,7 +16,6 @@ spec:
containers:
- name: prowler
image: {{ .Values.image.repository }}:{{ .Values.image.tag }}
- command: ["prowler"]
args: ["kubernetes", "-z", "-b"]
imagePullPolicy: {{ .Values.image.pullPolicy }}
volumeMounts:
diff --git a/dashboard/__main__.py b/dashboard/__main__.py
index 3bfb4c623a..dac536ccdf 100644
--- a/dashboard/__main__.py
+++ b/dashboard/__main__.py
@@ -161,7 +161,7 @@ def update_nav_bar(pathname):
html.Span(
[
html.Img(src="assets/favicon.ico", className="w-5"),
- "Subscribe to prowler SaaS",
+ "Subscribe to Prowler Cloud",
],
className="flex items-center gap-x-3 text-white",
),
diff --git a/dashboard/assets/images/providers/m365_provider.png b/dashboard/assets/images/providers/m365_provider.png
new file mode 100644
index 0000000000..d5bc8bbe5f
Binary files /dev/null and b/dashboard/assets/images/providers/m365_provider.png differ
diff --git a/dashboard/assets/styles/dist/output.css b/dashboard/assets/styles/dist/output.css
index 62954fc771..37505d12e2 100644
--- a/dashboard/assets/styles/dist/output.css
+++ b/dashboard/assets/styles/dist/output.css
@@ -1361,6 +1361,9 @@ video {
.lg\:grid-cols-4 {
grid-template-columns: repeat(4, minmax(0, 1fr));
}
+ .lg\:grid-cols-5 {
+ grid-template-columns: repeat(5, minmax(0, 1fr));
+ }
.lg\:justify-normal {
justify-content: normal;
@@ -1403,4 +1406,4 @@ video {
.\32xl\:w-\[9\%\] {
width: 9%;
}
-}
\ No newline at end of file
+}
diff --git a/dashboard/common_methods.py b/dashboard/common_methods.py
index cff28b62d9..338b6e6473 100644
--- a/dashboard/common_methods.py
+++ b/dashboard/common_methods.py
@@ -2228,13 +2228,356 @@ def get_section_containers_ens(data, section_1, section_2, section_3, section_4)
return html.Div(section_containers, className="compliance-data-layout")
+def get_section_containers_3_levels(data, section_1, section_2, section_3):
+ data["STATUS"] = data["STATUS"].apply(map_status_to_icon)
+ findings_counts_marco = (
+ data.groupby([section_1, "STATUS"]).size().unstack(fill_value=0)
+ )
+ section_containers = []
+ data[section_1] = data[section_1].astype(str)
+ data[section_2] = data[section_2].astype(str)
+ data[section_3] = data[section_3].astype(str)
+
+ data.sort_values(
+ by=section_3,
+ key=lambda x: x.map(extract_numeric_values),
+ ascending=True,
+ inplace=True,
+ )
+
+ for marco in data[section_1].unique():
+ success_marco = findings_counts_marco.loc[marco].get(pass_emoji, 0)
+ failed_marco = findings_counts_marco.loc[marco].get(fail_emoji, 0)
+
+ fig_name = go.Figure(
+ [
+ go.Bar(
+ name="Failed",
+ x=[failed_marco],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#e77676"),
+ width=[0.8],
+ ),
+ go.Bar(
+ name="Success",
+ x=[success_marco],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#45cc6e"),
+ width=[0.8],
+ ),
+ ]
+ )
+ fig_name.update_layout(
+ barmode="stack",
+ margin=dict(l=10, r=10, t=10, b=10),
+ paper_bgcolor="rgba(0,0,0,0)",
+ plot_bgcolor="rgba(0,0,0,0)",
+ showlegend=False,
+ width=350,
+ height=30,
+ xaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ yaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ annotations=[
+ dict(
+ x=success_marco + failed_marco,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(success_marco),
+ showarrow=False,
+ font=dict(color="#45cc6e", size=14),
+ xanchor="left",
+ yanchor="middle",
+ ),
+ dict(
+ x=0,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(failed_marco),
+ showarrow=False,
+ font=dict(color="#e77676", size=14),
+ xanchor="right",
+ yanchor="middle",
+ ),
+ ],
+ )
+ fig_name.add_annotation(
+ x=failed_marco,
+ y=0.3,
+ text="|",
+ showarrow=False,
+ font=dict(size=20),
+ xanchor="center",
+ yanchor="middle",
+ )
+
+ graph_div = html.Div(
+ dcc.Graph(
+ figure=fig_name, config={"staticPlot": True}, className="info-bar"
+ ),
+ className="graph-section",
+ )
+ direct_internal_items = []
+
+ for categoria in data[data[section_1] == marco][section_2].unique():
+ specific_data = data[
+ (data[section_1] == marco) & (data[section_2] == categoria)
+ ]
+ findings_counts_categoria = (
+ specific_data.groupby([section_2, "STATUS"])
+ .size()
+ .unstack(fill_value=0)
+ )
+ success_categoria = findings_counts_categoria.loc[categoria].get(
+ pass_emoji, 0
+ )
+ failed_categoria = findings_counts_categoria.loc[categoria].get(
+ fail_emoji, 0
+ )
+
+ fig_section = go.Figure(
+ [
+ go.Bar(
+ name="Failed",
+ x=[failed_categoria],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#e77676"),
+ width=[0.8],
+ ),
+ go.Bar(
+ name="Success",
+ x=[success_categoria],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#45cc6e"),
+ width=[0.8],
+ ),
+ ]
+ )
+ fig_section.update_layout(
+ barmode="stack",
+ margin=dict(l=10, r=10, t=10, b=10),
+ paper_bgcolor="rgba(0,0,0,0)",
+ plot_bgcolor="rgba(0,0,0,0)",
+ showlegend=False,
+ width=350,
+ height=30,
+ xaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ yaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ annotations=[
+ dict(
+ x=success_categoria + failed_categoria,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(success_categoria),
+ showarrow=False,
+ font=dict(color="#45cc6e", size=14),
+ xanchor="left",
+ yanchor="middle",
+ ),
+ dict(
+ x=0,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(failed_categoria),
+ showarrow=False,
+ font=dict(color="#e77676", size=14),
+ xanchor="right",
+ yanchor="middle",
+ ),
+ ],
+ )
+ fig_section.add_annotation(
+ x=failed_categoria,
+ y=0.3,
+ text="|",
+ showarrow=False,
+ font=dict(size=20),
+ xanchor="center",
+ yanchor="middle",
+ )
+
+ graph_div_section = html.Div(
+ dcc.Graph(
+ figure=fig_section,
+ config={"staticPlot": True},
+ className="info-bar-child",
+ ),
+ className="graph-section-req",
+ )
+ direct_internal_items_idgrupocontrol = []
+
+ for idgrupocontrol in specific_data[section_3].unique():
+ specific_data2 = specific_data[
+ specific_data[section_3] == idgrupocontrol
+ ]
+ findings_counts_idgrupocontrol = (
+ specific_data2.groupby([section_3, "STATUS"])
+ .size()
+ .unstack(fill_value=0)
+ )
+ success_idgrupocontrol = findings_counts_idgrupocontrol.loc[
+ idgrupocontrol
+ ].get(pass_emoji, 0)
+ failed_idgrupocontrol = findings_counts_idgrupocontrol.loc[
+ idgrupocontrol
+ ].get(fail_emoji, 0)
+
+ fig_idgrupocontrol = go.Figure(
+ [
+ go.Bar(
+ name="Failed",
+ x=[failed_idgrupocontrol],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#e77676"),
+ width=[0.8],
+ ),
+ go.Bar(
+ name="Success",
+ x=[success_idgrupocontrol],
+ y=[""],
+ orientation="h",
+ marker=dict(color="#45cc6e"),
+ width=[0.8],
+ ),
+ ]
+ )
+ fig_idgrupocontrol.update_layout(
+ barmode="stack",
+ margin=dict(l=10, r=10, t=10, b=10),
+ paper_bgcolor="rgba(0,0,0,0)",
+ plot_bgcolor="rgba(0,0,0,0)",
+ showlegend=False,
+ width=350,
+ height=30,
+ xaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ yaxis=dict(showticklabels=False, showgrid=False, zeroline=False),
+ annotations=[
+ dict(
+ x=success_idgrupocontrol + failed_idgrupocontrol,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(success_idgrupocontrol),
+ showarrow=False,
+ font=dict(color="#45cc6e", size=14),
+ xanchor="left",
+ yanchor="middle",
+ ),
+ dict(
+ x=0,
+ y=0,
+ xref="x",
+ yref="y",
+ text=str(failed_idgrupocontrol),
+ showarrow=False,
+ font=dict(color="#e77676", size=14),
+ xanchor="right",
+ yanchor="middle",
+ ),
+ ],
+ )
+ fig_idgrupocontrol.add_annotation(
+ x=failed_idgrupocontrol,
+ y=0.3,
+ text="|",
+ showarrow=False,
+ font=dict(size=20),
+ xanchor="center",
+ yanchor="middle",
+ )
+
+ graph_div_idgrupocontrol = html.Div(
+ dcc.Graph(
+ figure=fig_idgrupocontrol,
+ config={"staticPlot": True},
+ className="info-bar-child",
+ ),
+ className="graph-section-req",
+ )
+
+ data_table = dash_table.DataTable(
+ data=specific_data2.to_dict("records"),
+ columns=[
+ {"name": i, "id": i}
+ for i in [
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ],
+ style_table={"overflowX": "auto"},
+ style_as_list_view=True,
+ style_cell={"textAlign": "left", "padding": "5px"},
+ )
+
+ internal_accordion_item_2 = dbc.AccordionItem(
+ title=idgrupocontrol,
+ children=[
+ graph_div_idgrupocontrol,
+ html.Div([data_table], className="inner-accordion-content"),
+ ],
+ )
+ direct_internal_items_idgrupocontrol.append(
+ html.Div(
+ [
+ graph_div_idgrupocontrol,
+ dbc.Accordion(
+ [internal_accordion_item_2],
+ start_collapsed=True,
+ flush=True,
+ ),
+ ],
+ className="accordion-inner--child",
+ )
+ )
+
+ internal_accordion_item = dbc.AccordionItem(
+ title=categoria,
+ children=direct_internal_items_idgrupocontrol,
+ )
+ internal_section_container = html.Div(
+ [
+ graph_div_section,
+ dbc.Accordion(
+ [internal_accordion_item], start_collapsed=True, flush=True
+ ),
+ ],
+ className="accordion-inner--child",
+ )
+ direct_internal_items.append(internal_section_container)
+
+ accordion_item = dbc.AccordionItem(title=marco, children=direct_internal_items)
+ section_container = html.Div(
+ [
+ graph_div,
+ dbc.Accordion([accordion_item], start_collapsed=True, flush=True),
+ ],
+ className="accordion-inner",
+ )
+ section_containers.append(section_container)
+
+ return html.Div(section_containers, className="compliance-data-layout")
+
+
# This function extracts and compares up to two numeric values, ensuring correct sorting for version-like strings.
def extract_numeric_values(value):
numbers = re.findall(r"\d+", str(value))
- if len(numbers) >= 2:
+ if len(numbers) == 3:
+ return int(numbers[0]), int(numbers[1]), int(numbers[2])
+ elif len(numbers) == 2:
return int(numbers[0]), int(numbers[1])
elif len(numbers) == 1:
- return int(numbers[0]), 0
+ return int(numbers[0])
return 0, 0
diff --git a/dashboard/compliance/aws_well_architected_framework_reliability_pillar_aws.py b/dashboard/compliance/aws_well_architected_framework_reliability_pillar_aws.py
index 02fae31d81..d2c3272352 100644
--- a/dashboard/compliance/aws_well_architected_framework_reliability_pillar_aws.py
+++ b/dashboard/compliance/aws_well_architected_framework_reliability_pillar_aws.py
@@ -1,6 +1,6 @@
import warnings
-from dashboard.common_methods import get_section_containers_format2
+from dashboard.common_methods import get_section_containers_3_levels
warnings.filterwarnings("ignore")
@@ -10,6 +10,7 @@ def get_table(data):
[
"REQUIREMENTS_ATTRIBUTES_NAME",
"REQUIREMENTS_ATTRIBUTES_SECTION",
+ "REQUIREMENTS_ATTRIBUTES_SUBSECTION",
"CHECKID",
"STATUS",
"REGION",
@@ -17,6 +18,10 @@ def get_table(data):
"RESOURCEID",
]
]
- return get_section_containers_format2(
- aux, "REQUIREMENTS_ATTRIBUTES_NAME", "REQUIREMENTS_ATTRIBUTES_SECTION"
+
+ return get_section_containers_3_levels(
+ aux,
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "REQUIREMENTS_ATTRIBUTES_SUBSECTION",
+ "REQUIREMENTS_ATTRIBUTES_NAME",
)
diff --git a/dashboard/compliance/aws_well_architected_framework_security_pillar_aws.py b/dashboard/compliance/aws_well_architected_framework_security_pillar_aws.py
index cfa7ecab40..d2c3272352 100644
--- a/dashboard/compliance/aws_well_architected_framework_security_pillar_aws.py
+++ b/dashboard/compliance/aws_well_architected_framework_security_pillar_aws.py
@@ -1,6 +1,6 @@
import warnings
-from dashboard.common_methods import get_section_containers_format2
+from dashboard.common_methods import get_section_containers_3_levels
warnings.filterwarnings("ignore")
@@ -10,6 +10,7 @@ def get_table(data):
[
"REQUIREMENTS_ATTRIBUTES_NAME",
"REQUIREMENTS_ATTRIBUTES_SECTION",
+ "REQUIREMENTS_ATTRIBUTES_SUBSECTION",
"CHECKID",
"STATUS",
"REGION",
@@ -18,6 +19,9 @@ def get_table(data):
]
]
- return get_section_containers_format2(
- aux, "REQUIREMENTS_ATTRIBUTES_SECTION", "REQUIREMENTS_ATTRIBUTES_NAME"
+ return get_section_containers_3_levels(
+ aux,
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "REQUIREMENTS_ATTRIBUTES_SUBSECTION",
+ "REQUIREMENTS_ATTRIBUTES_NAME",
)
diff --git a/dashboard/compliance/cis_1_11_kubernetes.py b/dashboard/compliance/cis_1_11_kubernetes.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/cis_1_11_kubernetes.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/cis_4_0_m365.py b/dashboard/compliance/cis_4_0_m365.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/cis_4_0_m365.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/cis_5_0_aws.py b/dashboard/compliance/cis_5_0_aws.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/cis_5_0_aws.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/kisa_isms_p_2023_aws.py b/dashboard/compliance/kisa_isms_p_2023_aws.py
index 1d079d46af..66643dab04 100644
--- a/dashboard/compliance/kisa_isms_p_2023_aws.py
+++ b/dashboard/compliance/kisa_isms_p_2023_aws.py
@@ -1,6 +1,6 @@
import warnings
-from dashboard.common_methods import get_section_containers_kisa_ismsp
+from dashboard.common_methods import get_section_containers_3_levels
warnings.filterwarnings("ignore")
@@ -8,7 +8,7 @@ warnings.filterwarnings("ignore")
def get_table(data):
aux = data[
[
- "REQUIREMENTS_ID",
+ "REQUIREMENTS_ATTRIBUTES_DOMAIN",
"REQUIREMENTS_ATTRIBUTES_SUBDOMAIN",
"REQUIREMENTS_ATTRIBUTES_SECTION",
# "REQUIREMENTS_DESCRIPTION",
@@ -20,6 +20,9 @@ def get_table(data):
]
].copy()
- return get_section_containers_kisa_ismsp(
- aux, "REQUIREMENTS_ATTRIBUTES_SUBDOMAIN", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ return get_section_containers_3_levels(
+ aux,
+ "REQUIREMENTS_ATTRIBUTES_DOMAIN",
+ "REQUIREMENTS_ATTRIBUTES_SUBDOMAIN",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
)
diff --git a/dashboard/compliance/kisa_isms_p_2023_korean_aws.py b/dashboard/compliance/kisa_isms_p_2023_korean_aws.py
index 1d079d46af..66643dab04 100644
--- a/dashboard/compliance/kisa_isms_p_2023_korean_aws.py
+++ b/dashboard/compliance/kisa_isms_p_2023_korean_aws.py
@@ -1,6 +1,6 @@
import warnings
-from dashboard.common_methods import get_section_containers_kisa_ismsp
+from dashboard.common_methods import get_section_containers_3_levels
warnings.filterwarnings("ignore")
@@ -8,7 +8,7 @@ warnings.filterwarnings("ignore")
def get_table(data):
aux = data[
[
- "REQUIREMENTS_ID",
+ "REQUIREMENTS_ATTRIBUTES_DOMAIN",
"REQUIREMENTS_ATTRIBUTES_SUBDOMAIN",
"REQUIREMENTS_ATTRIBUTES_SECTION",
# "REQUIREMENTS_DESCRIPTION",
@@ -20,6 +20,9 @@ def get_table(data):
]
].copy()
- return get_section_containers_kisa_ismsp(
- aux, "REQUIREMENTS_ATTRIBUTES_SUBDOMAIN", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ return get_section_containers_3_levels(
+ aux,
+ "REQUIREMENTS_ATTRIBUTES_DOMAIN",
+ "REQUIREMENTS_ATTRIBUTES_SUBDOMAIN",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
)
diff --git a/dashboard/compliance/prowler_threatscore_aws.py b/dashboard/compliance/prowler_threatscore_aws.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/prowler_threatscore_aws.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/prowler_threatscore_azure.py b/dashboard/compliance/prowler_threatscore_azure.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/prowler_threatscore_azure.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/prowler_threatscore_gcp.py b/dashboard/compliance/prowler_threatscore_gcp.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/prowler_threatscore_gcp.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/prowler_threatscore_m365.py b/dashboard/compliance/prowler_threatscore_m365.py
new file mode 100644
index 0000000000..94558f33ad
--- /dev/null
+++ b/dashboard/compliance/prowler_threatscore_m365.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_cis
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_cis(
+ aux, "REQUIREMENTS_ID", "REQUIREMENTS_ATTRIBUTES_SECTION"
+ )
diff --git a/dashboard/compliance/soc2_azure.py b/dashboard/compliance/soc2_azure.py
new file mode 100644
index 0000000000..2d5517aed6
--- /dev/null
+++ b/dashboard/compliance/soc2_azure.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_format3
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_format3(
+ aux, "REQUIREMENTS_ATTRIBUTES_SECTION", "REQUIREMENTS_ID"
+ )
diff --git a/dashboard/compliance/soc2_gcp.py b/dashboard/compliance/soc2_gcp.py
new file mode 100644
index 0000000000..2d5517aed6
--- /dev/null
+++ b/dashboard/compliance/soc2_gcp.py
@@ -0,0 +1,24 @@
+import warnings
+
+from dashboard.common_methods import get_section_containers_format3
+
+warnings.filterwarnings("ignore")
+
+
+def get_table(data):
+ aux = data[
+ [
+ "REQUIREMENTS_ID",
+ "REQUIREMENTS_DESCRIPTION",
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ "CHECKID",
+ "STATUS",
+ "REGION",
+ "ACCOUNTID",
+ "RESOURCEID",
+ ]
+ ].copy()
+
+ return get_section_containers_format3(
+ aux, "REQUIREMENTS_ATTRIBUTES_SECTION", "REQUIREMENTS_ID"
+ )
diff --git a/dashboard/lib/layouts.py b/dashboard/lib/layouts.py
index 0f13c94929..f1b4408c38 100644
--- a/dashboard/lib/layouts.py
+++ b/dashboard/lib/layouts.py
@@ -57,8 +57,9 @@ def create_layout_overview(
html.Div(className="flex", id="azure_card", n_clicks=0),
html.Div(className="flex", id="gcp_card", n_clicks=0),
html.Div(className="flex", id="k8s_card", n_clicks=0),
+ html.Div(className="flex", id="m365_card", n_clicks=0),
],
- className="grid gap-x-4 mb-[30px] sm:grid-cols-2 lg:grid-cols-4",
+ className="grid gap-x-4 mb-[30px] sm:grid-cols-2 lg:grid-cols-5",
),
html.H4(
"Count of Findings by severity",
@@ -131,7 +132,7 @@ def create_layout_compliance(
html.A(
[
html.Img(src="assets/favicon.ico", className="w-5 mr-3"),
- html.Span("Subscribe to prowler SaaS"),
+ html.Span("Subscribe to Prowler Cloud"),
],
href="https://prowler.pro/",
target="_blank",
diff --git a/dashboard/pages/compliance.py b/dashboard/pages/compliance.py
index 422e801503..0eed0ace3f 100644
--- a/dashboard/pages/compliance.py
+++ b/dashboard/pages/compliance.py
@@ -76,6 +76,8 @@ def load_csv_files(csv_files):
result = result.replace("_AZURE", " - AZURE")
if "KUBERNETES" in result:
result = result.replace("_KUBERNETES", " - KUBERNETES")
+ if "M65" in result:
+ result = result.replace("_M65", " - M65")
results.append(result)
unique_results = set(results)
@@ -267,6 +269,15 @@ def display_data(
data["REQUIREMENTS_ATTRIBUTES_PROFILE"] = data[
"REQUIREMENTS_ATTRIBUTES_PROFILE"
].apply(lambda x: x.split(" - ")[0])
+
+ # Add the column ACCOUNTID to the data if the provider is m65
+ if "m365" in analytics_input:
+ data.rename(columns={"TENANTID": "ACCOUNTID"}, inplace=True)
+ data.rename(columns={"LOCATION": "REGION"}, inplace=True)
+ if "REQUIREMENTS_ATTRIBUTES_PROFILE" in data.columns:
+ data["REQUIREMENTS_ATTRIBUTES_PROFILE"] = data[
+ "REQUIREMENTS_ATTRIBUTES_PROFILE"
+ ].apply(lambda x: x.split(" - ")[0])
# Filter the chosen level of the CIS
if is_level_1:
data = data[data["REQUIREMENTS_ATTRIBUTES_PROFILE"] == "Level 1"]
@@ -397,7 +408,13 @@ def display_data(
compliance_module = importlib.import_module(
f"dashboard.compliance.{current}"
)
- data.drop_duplicates(keep="first", inplace=True)
+ data = data.drop_duplicates(
+ subset=["CHECKID", "STATUS", "MUTED", "RESOURCEID", "STATUSEXTENDED"]
+ )
+
+ if "threatscore" in analytics_input:
+ data = get_threatscore_mean_by_pillar(data)
+
table = compliance_module.get_table(data)
except ModuleNotFoundError:
table = html.Div(
@@ -416,6 +433,9 @@ def display_data(
)
df = data.copy()
+ # Remove Muted rows
+ if "MUTED" in df.columns:
+ df = df[df["MUTED"] == "False"]
df = df.groupby(["STATUS"]).size().reset_index(name="counts")
df = df.sort_values(by=["counts"], ascending=False)
@@ -430,6 +450,9 @@ def display_data(
if "pci" in analytics_input:
pie_2 = get_bar_graph(df, "REQUIREMENTS_ID")
current_filter = "req_id"
+ elif "threatscore" in analytics_input:
+ pie_2 = get_table_prowler_threatscore(df)
+ current_filter = "threatscore"
elif (
"REQUIREMENTS_ATTRIBUTES_SECTION" in df.columns
and not df["REQUIREMENTS_ATTRIBUTES_SECTION"].isnull().values.any()
@@ -488,6 +511,13 @@ def display_data(
pie_2, f"Top 5 failed {current_filter} by requirements"
)
+ if "threatscore" in analytics_input:
+ security_level_graph = get_graph(
+ pie_2,
+ "Pillar Score by requirements (1 = Lowest Risk, 5 = Highest Risk)",
+ margin_top=0,
+ )
+
return (
table_output,
overall_status_result_graph,
@@ -501,7 +531,7 @@ def display_data(
)
-def get_graph(pie, title):
+def get_graph(pie, title, margin_top=7):
return [
html.Span(
title,
@@ -514,7 +544,7 @@ def get_graph(pie, title):
"display": "flex",
"justify-content": "center",
"align-items": "center",
- "margin-top": "7%",
+ "margin-top": f"{margin_top}%",
},
),
]
@@ -618,3 +648,87 @@ def get_table(current_compliance, table):
className="relative flex flex-col bg-white shadow-provider rounded-xl px-4 py-3 flex-wrap w-full",
),
]
+
+
+def get_threatscore_mean_by_pillar(df):
+ modified_df = df[df["STATUS"] == "FAIL"]
+
+ modified_df["REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"] = pd.to_numeric(
+ modified_df["REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"], errors="coerce"
+ )
+
+ pillar_means = (
+ modified_df.groupby("REQUIREMENTS_ATTRIBUTES_SECTION")[
+ "REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"
+ ]
+ .mean()
+ .round(2)
+ )
+
+ output = []
+ for pillar, mean in pillar_means.items():
+ output.append(f"{pillar} - [{mean}]")
+
+ for value in output:
+ if value.split(" - ")[0] in df["REQUIREMENTS_ATTRIBUTES_SECTION"].values:
+ df.loc[
+ df["REQUIREMENTS_ATTRIBUTES_SECTION"] == value.split(" - ")[0],
+ "REQUIREMENTS_ATTRIBUTES_SECTION",
+ ] = value
+ return df
+
+
+def get_table_prowler_threatscore(df):
+ df = df[df["STATUS"] == "FAIL"]
+
+ # Delete " - " from the column REQUIREMENTS_ATTRIBUTES_SECTION
+ df["REQUIREMENTS_ATTRIBUTES_SECTION"] = (
+ df["REQUIREMENTS_ATTRIBUTES_SECTION"].str.split(" - ").str[0]
+ )
+
+ df["REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"] = pd.to_numeric(
+ df["REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"], errors="coerce"
+ )
+
+ score_df = (
+ df.groupby("REQUIREMENTS_ATTRIBUTES_SECTION")[
+ "REQUIREMENTS_ATTRIBUTES_LEVELOFRISK"
+ ]
+ .mean()
+ .reset_index()
+ .rename(
+ columns={
+ "REQUIREMENTS_ATTRIBUTES_SECTION": "Pillar",
+ "REQUIREMENTS_ATTRIBUTES_LEVELOFRISK": "Score",
+ }
+ )
+ )
+
+ fig = px.bar(
+ score_df,
+ x="Pillar",
+ y="Score",
+ color="Score",
+ color_continuous_scale=[
+ "#45cc6e",
+ "#f4d44d",
+ "#e77676",
+ ], # verde โ amarillo โ rojo
+ hover_data={"Score": True, "Pillar": True},
+ labels={"Score": "Average Risk Score", "Pillar": "Section"},
+ height=400,
+ )
+
+ fig.update_layout(
+ xaxis_title="Pillar",
+ yaxis_title="Level of Risk",
+ margin=dict(l=20, r=20, t=30, b=20),
+ plot_bgcolor="rgba(0,0,0,0)",
+ paper_bgcolor="rgba(0,0,0,0)",
+ coloraxis_colorbar=dict(title="Risk"),
+ )
+
+ return dcc.Graph(
+ figure=fig,
+ style={"height": "25rem", "width": "40rem"},
+ )
diff --git a/dashboard/pages/overview.py b/dashboard/pages/overview.py
index 5dfc62ee7b..2688281af2 100644
--- a/dashboard/pages/overview.py
+++ b/dashboard/pages/overview.py
@@ -74,6 +74,9 @@ gcp_provider_logo = html.Img(
ks8_provider_logo = html.Img(
src="assets/images/providers/k8s_provider.png", alt="k8s provider"
)
+m365_provider_logo = html.Img(
+ src="assets/images/providers/m365_provider.png", alt="m365 provider"
+)
def load_csv_files(csv_files):
@@ -223,6 +226,8 @@ else:
accounts.append(account + " - AZURE")
if "gcp" in list(data[data["ACCOUNT_NAME"] == account]["PROVIDER"]):
accounts.append(account + " - GCP")
+ if "m365" in list(data[data["ACCOUNT_NAME"] == account]["PROVIDER"]):
+ accounts.append(account + " - M365")
if "ACCOUNT_UID" in data.columns:
for account in data["ACCOUNT_UID"].unique():
@@ -273,6 +278,8 @@ else:
services.append(service + " - AZURE")
if "gcp" in list(data[data["SERVICE_NAME"] == service]["PROVIDER"]):
services.append(service + " - GCP")
+ if "m365" in list(data[data["SERVICE_NAME"] == service]["PROVIDER"]):
+ services.append(service + " - M365")
services = ["All"] + services
services = [
@@ -485,6 +492,7 @@ else:
Output("azure_card", "children"),
Output("gcp_card", "children"),
Output("k8s_card", "children"),
+ Output("m365_card", "children"),
Output("subscribe_card", "children"),
Output("info-file-over", "title"),
Output("severity-filter", "value"),
@@ -499,6 +507,7 @@ else:
Output("azure_card", "n_clicks"),
Output("gcp_card", "n_clicks"),
Output("k8s_card", "n_clicks"),
+ Output("m365_card", "n_clicks"),
],
Input("cloud-account-filter", "value"),
Input("region-filter", "value"),
@@ -513,6 +522,7 @@ else:
Input("azure_card", "n_clicks"),
Input("gcp_card", "n_clicks"),
Input("k8s_card", "n_clicks"),
+ Input("m365_card", "n_clicks"),
Input("sort_button_check_name", "n_clicks"),
Input("sort_button_severity", "n_clicks"),
Input("sort_button_status", "n_clicks"),
@@ -534,6 +544,7 @@ def filter_data(
azure_clicks,
gcp_clicks,
k8s_clicks,
+ m365_clicks,
sort_button_check_name,
sort_button_severity,
sort_button_status,
@@ -554,6 +565,7 @@ def filter_data(
azure_clicks = 0
gcp_clicks = 0
k8s_clicks = 0
+ m365_clicks = 0
if azure_clicks > 0:
filtered_data = data.copy()
if azure_clicks % 2 != 0 and "azure" in list(data["PROVIDER"]):
@@ -561,6 +573,7 @@ def filter_data(
aws_clicks = 0
gcp_clicks = 0
k8s_clicks = 0
+ m365_clicks = 0
if gcp_clicks > 0:
filtered_data = data.copy()
if gcp_clicks % 2 != 0 and "gcp" in list(data["PROVIDER"]):
@@ -568,6 +581,7 @@ def filter_data(
aws_clicks = 0
azure_clicks = 0
k8s_clicks = 0
+ m365_clicks = 0
if k8s_clicks > 0:
filtered_data = data.copy()
if k8s_clicks % 2 != 0 and "kubernetes" in list(data["PROVIDER"]):
@@ -575,6 +589,15 @@ def filter_data(
aws_clicks = 0
azure_clicks = 0
gcp_clicks = 0
+ m365_clicks = 0
+ if m365_clicks > 0:
+ filtered_data = data.copy()
+ if m365_clicks % 2 != 0 and "m365" in list(data["PROVIDER"]):
+ filtered_data = filtered_data[filtered_data["PROVIDER"] == "m365"]
+ aws_clicks = 0
+ azure_clicks = 0
+ gcp_clicks = 0
+ k8s_clicks = 0
# For all the data, we will add to the status column the value 'MUTED (FAIL)' and 'MUTED (PASS)' depending on the value of the column 'STATUS' and 'MUTED'
if "MUTED" in filtered_data.columns:
@@ -675,6 +698,8 @@ def filter_data(
all_account_names.append(account)
if "gcp" in list(data[data["ACCOUNT_NAME"] == account]["PROVIDER"]):
all_account_names.append(account)
+ if "m365" in list(data[data["ACCOUNT_NAME"] == account]["PROVIDER"]):
+ all_account_names.append(account)
all_items = all_account_ids + all_account_names + ["All"]
@@ -692,6 +717,8 @@ def filter_data(
cloud_accounts_options.append(item + " - AZURE")
if "gcp" in list(data[data["ACCOUNT_NAME"] == item]["PROVIDER"]):
cloud_accounts_options.append(item + " - GCP")
+ if "m365" in list(data[data["ACCOUNT_NAME"] == item]["PROVIDER"]):
+ cloud_accounts_options.append(item + " - M365")
# Filter ACCOUNT
if cloud_account_values == ["All"]:
@@ -790,6 +817,7 @@ def filter_data(
service_filter_options = ["All"]
all_items = filtered_data["SERVICE_NAME"].unique()
+
for item in all_items:
if item not in service_filter_options and item.__class__.__name__ == "str":
if "aws" in list(
@@ -808,6 +836,10 @@ def filter_data(
filtered_data[filtered_data["SERVICE_NAME"] == item]["PROVIDER"]
):
service_filter_options.append(item + " - GCP")
+ if "m365" in list(
+ filtered_data[filtered_data["SERVICE_NAME"] == item]["PROVIDER"]
+ ):
+ service_filter_options.append(item + " - M365")
# Filter Service
if service_values == ["All"]:
@@ -1235,6 +1267,10 @@ def filter_data(
filtered_data.loc[
filtered_data["ACCOUNT_UID"] == account, "ACCOUNT_UID"
] = (account + " - GCP")
+ if "m365" in list(data[data["ACCOUNT_UID"] == account]["PROVIDER"]):
+ filtered_data.loc[
+ filtered_data["ACCOUNT_UID"] == account, "ACCOUNT_UID"
+ ] = (account + " - M365")
table_collapsible = []
for item in filtered_data.to_dict("records"):
@@ -1302,14 +1338,17 @@ def filter_data(
k8s_card = create_provider_card(
"kubernetes", ks8_provider_logo, "Clusters", full_filtered_data
)
+ m365_card = create_provider_card(
+ "m365", m365_provider_logo, "Accounts", full_filtered_data
+ )
- # Subscribe to prowler SaaS card
+ # Subscribe to Prowler Cloud card
subscribe_card = [
html.Div(
html.A(
[
html.Img(src="assets/favicon.ico", className="w-5 mr-3"),
- html.Span("Subscribe to prowler SaaS"),
+ html.Span("Subscribe to Prowler Cloud"),
],
href="https://prowler.pro/",
target="_blank",
@@ -1346,6 +1385,7 @@ def filter_data(
azure_card,
gcp_card,
k8s_card,
+ m365_card,
subscribe_card,
list_files,
severity_values,
@@ -1360,6 +1400,7 @@ def filter_data(
azure_clicks,
gcp_clicks,
k8s_clicks,
+ m365_clicks,
)
else:
return (
@@ -1377,6 +1418,7 @@ def filter_data(
azure_card,
gcp_card,
k8s_card,
+ m365_card,
subscribe_card,
list_files,
severity_values,
@@ -1391,6 +1433,7 @@ def filter_data(
azure_clicks,
gcp_clicks,
k8s_clicks,
+ m365_clicks,
)
diff --git a/docs/developer-guide/debugging.md b/docs/developer-guide/debugging.md
index 33c0849f49..bf51d313c1 100644
--- a/docs/developer-guide/debugging.md
+++ b/docs/developer-guide/debugging.md
@@ -18,7 +18,7 @@ This file should inside the *.vscode* folder and its name has to be *launch.json
"name": "Debug AWS Check",
"type": "debugpy",
"request": "launch",
- "program": "prowler.py",
+ "program": "prowler-cli.py",
"args": [
"aws",
"--log-level",
@@ -33,7 +33,7 @@ This file should inside the *.vscode* folder and its name has to be *launch.json
"name": "Debug Azure Check",
"type": "debugpy",
"request": "launch",
- "program": "prowler.py",
+ "program": "prowler-cli.py",
"args": [
"azure",
"--sp-env-auth",
@@ -49,7 +49,7 @@ This file should inside the *.vscode* folder and its name has to be *launch.json
"name": "Debug GCP Check",
"type": "debugpy",
"request": "launch",
- "program": "prowler.py",
+ "program": "prowler-cli.py",
"args": [
"gcp",
"--log-level",
@@ -64,7 +64,7 @@ This file should inside the *.vscode* folder and its name has to be *launch.json
"name": "Debug K8s Check",
"type": "debugpy",
"request": "launch",
- "program": "prowler.py",
+ "program": "prowler-cli.py",
"args": [
"kubernetes",
"--log-level",
diff --git a/docs/developer-guide/provider.md b/docs/developer-guide/provider.md
index 6f6b1ca0ae..823f694a77 100644
--- a/docs/developer-guide/provider.md
+++ b/docs/developer-guide/provider.md
@@ -175,7 +175,7 @@ Due to the complexity and differences of each provider use the rest of the provi
- [GCP](https://github.com/prowler-cloud/prowler/blob/master/prowler/providers/gcp/gcp_provider.py)
- [Azure](https://github.com/prowler-cloud/prowler/blob/master/prowler/providers/azure/azure_provider.py)
- [Kubernetes](https://github.com/prowler-cloud/prowler/blob/master/prowler/providers/kubernetes/kubernetes_provider.py)
-- [Microsoft365](https://github.com/prowler-cloud/prowler/blob/master/prowler/providers/microsoft365/microsoft365_provider.py)
+- [M365](https://github.com/prowler-cloud/prowler/blob/master/prowler/providers/m365/m365_provider.py)
To facilitate understanding here is a pseudocode of how the most basic provider could be with examples.
diff --git a/docs/developer-guide/services.md b/docs/developer-guide/services.md
index d551a58269..6859bd0c07 100644
--- a/docs/developer-guide/services.md
+++ b/docs/developer-guide/services.md
@@ -237,4 +237,4 @@ It is really important to check if the current Prowler's permissions for each pr
- AWS: https://docs.prowler.cloud/en/latest/getting-started/requirements/#aws-authentication
- Azure: https://docs.prowler.cloud/en/latest/getting-started/requirements/#permissions
- GCP: https://docs.prowler.cloud/en/latest/getting-started/requirements/#gcp-authentication
-- Microsoft365: https://docs.prowler.cloud/en/latest/getting-started/requirements/#microsoft365-authentication
+- M365: https://docs.prowler.cloud/en/latest/getting-started/requirements/#m365-authentication
diff --git a/docs/getting-started/requirements.md b/docs/getting-started/requirements.md
index afda7da53e..29b9069013 100644
--- a/docs/getting-started/requirements.md
+++ b/docs/getting-started/requirements.md
@@ -40,8 +40,8 @@ If your IAM entity enforces MFA you can use `--mfa` and Prowler will ask you to
Prowler for Azure supports the following authentication types. To use each one you need to pass the proper flag to the execution:
-- [Service principal application](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser#service-principal-object) (recommended).
-- Current az cli credentials stored.
+- [Service Principal Application](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser#service-principal-object) (recommended).
+- Current AZ CLI credentials stored.
- Interactive browser authentication.
- [Managed identity](https://learn.microsoft.com/en-us/entra/identity/managed-identities-azure-resources/overview) authentication.
@@ -59,7 +59,7 @@ export AZURE_CLIENT_SECRET="XXXXXXX"
```
If you try to execute Prowler with the `--sp-env-auth` flag and those variables are empty or not exported, the execution is going to fail.
-Follow the instructions in the [Create Prowler Service Principal](../tutorials/azure/create-prowler-service-principal.md#how-to-create-prowler-service-principal) section to create a service principal.
+Follow the instructions in the [Create Prowler Service Principal](../tutorials/azure/create-prowler-service-principal.md#how-to-create-prowler-service-principal-application) section to create a service principal.
### AZ CLI / Browser / Managed Identity authentication
@@ -79,7 +79,7 @@ Prowler for Azure needs two types of permission scopes to be set:
???+ note
Please, notice that the field `assignableScopes` in the JSON custom role file must be changed to be the subscription or management group where the role is going to be assigned. The valid formats for the field are `/subscriptions/` or `/providers/Microsoft.Management/managementGroups/`.
-To assign the permissions, follow the instructions in the [Microsoft Entra ID permissions](../tutorials/azure/create-prowler-service-principal.md#assigning-the-proper-permissions) section and the [Azure subscriptions permissions](../tutorials/azure/subscriptions.md#assigning-proper-permissions) section, respectively.
+To assign the permissions, follow the instructions in the [Microsoft Entra ID permissions](../tutorials/azure/create-prowler-service-principal.md#assigning-the-proper-permissions) section and the [Azure subscriptions permissions](../tutorials/azure/subscriptions.md#assign-the-appropriate-permissions-to-the-identity-that-is-going-to-be-assumed-by-prowler) section, respectively.
#### Checks that require ProwlerRole
@@ -98,25 +98,44 @@ Prowler will follow the same credentials search as [Google authentication librar
2. [User credentials set up by using the Google Cloud CLI](https://cloud.google.com/docs/authentication/application-default-credentials#personal)
3. [The attached service account, returned by the metadata server](https://cloud.google.com/docs/authentication/application-default-credentials#attached-sa)
-Those credentials must be associated to a user or service account with proper permissions to do all checks. To make sure, add the `Viewer` role to the member associated with the credentials.
+### Needed permissions
+
+Prowler for Google Cloud needs the following permissions to be set:
+
+- **Viewer (`roles/viewer`) IAM role**: granted at the project / folder / org level in order to scan the target projects
+
+- **Project level settings**: you need to have at least one project with the below settings:
+ - Identity and Access Management (IAM) API (`iam.googleapis.com`) enabled by either using the
+ [Google Cloud API UI](https://console.cloud.google.com/apis/api/iam.googleapis.com/metrics) or
+ by using the gcloud CLI `gcloud services enable iam.googleapis.com --project ` command
+ - Service Usage Consumer (`roles/serviceusage.serviceUsageConsumer`) IAM role
+ - Set the quota project to be this project by either running `gcloud auth application-default set-quota-project ` or by setting an environment variable:
+ `export GOOGLE_CLOUD_QUOTA_PROJECT=`
+
+
+The above settings must be associated to a user or service account.
+
???+ note
By default, `prowler` will scan all accessible GCP Projects, use flag `--project-ids` to specify the projects to be scanned.
-## Microsoft365
+## Microsoft 365
-Prowler for Microsoft365 currently supports the following authentication types:
+Prowler for M365 currently supports the following authentication types:
-- [Service principal application](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser#service-principal-object) (recommended).
-- Current az cli credentials stored.
+- [Service Principal Application](https://learn.microsoft.com/en-us/entra/identity-platform/app-objects-and-service-principals?tabs=browser#service-principal-object).
+- Service Principal Application and Microsoft User Credentials (**recommended**).
+- Current AZ CLI credentials stored.
- Interactive browser authentication.
???+ warning
- For Prowler App only the Service Principal with an application authentication method is supported.
+ For Prowler App only the Service Principal with User Credentials authentication method is supported.
### Service Principal authentication
+Authentication flag: `--sp-env-auth`
+
To allow Prowler assume the service principal identity to start the scan it is needed to configure the following environment variables:
```console
@@ -126,8 +145,341 @@ export AZURE_TENANT_ID="XXXXXXXXX"
```
If you try to execute Prowler with the `--sp-env-auth` flag and those variables are empty or not exported, the execution is going to fail.
-Follow the instructions in the [Create Prowler Service Principal](../tutorials/azure/create-prowler-service-principal.md) section to create a service principal.
+Follow the instructions in the [Create Prowler Service Principal](../tutorials/microsoft365/getting-started-m365.md#create-the-service-principal-app) section to create a service principal.
+
+With this credentials you will only be able to run the checks that work through MS Graph, this means that you won't run all the provider. If you want to scan all the checks from M365 you will need to use the recommended authentication method.
+
+### Service Principal and User Credentials authentication (recommended)
+
+Authentication flag: `--env-auth`
+
+This authentication method follows the same approach as the service principal method but introduces two additional environment variables for user credentials: `M365_USER` and `M365_ENCRYPTED_PASSWORD`.
+
+```console
+export AZURE_CLIENT_ID="XXXXXXXXX"
+export AZURE_CLIENT_SECRET="XXXXXXXXX"
+export AZURE_TENANT_ID="XXXXXXXXX"
+export M365_USER="your_email@example.com"
+export M365_ENCRYPTED_PASSWORD="6500780061006d0070006c006500700061007300730077006f0072006400" # replace this to yours
+```
+
+These two new environment variables are **required** to execute the PowerShell modules needed to retrieve information from M365 services. Prowler uses Service Principal authentication to access Microsoft Graph and user credentials to authenticate to Microsoft PowerShell modules.
+
+- `M365_USER` should be your Microsoft account email using the default domain. This means it must look like `example@YourCompany.onmicrosoft.com`.
+
+ To ensure that you are using the default domain you can see how to verify it [here](../tutorials/microsoft365/getting-started-m365.md#step-1-obtain-your-domain).
+
+ If you don't have a user created with that domain, Prowler will not work as it will not be able to ensure both app an user belong to the same tenant. To proceed, you can either create a new user with that domain or modify the domain of an existing user.
+
+ 
+
+- `M365_ENCRYPTED_PASSWORD` must be an encrypted SecureString. To convert your password into a valid encrypted string, you need to use PowerShell.
+
+ ???+ warning
+ Passwords encrypted using ConvertTo-SecureString can only be decrypted on the same OS/user context. If you generate an encrypted password on macOS or Linux (both UNIX), it should fail on Windows and vice versa. As Prowler Cloud runs on UNIX if you generate your password using Windows it won't work so you'll need to generate a new password using any UNIX distro (example above)
+
+ If you are working from Windows and you will use your encrypted password in a different system (like for example executing Prowler in macOS or adding your password to Prowler Cloud), you will need to generate a "UNIX compatible" version of your encrypted password. This can be done using WSL which is so easy to install on Windows.
+
+ === "UNIX"
+
+ Open a PowerShell cmd with a [supported version](requirements.md#supported-powershell-versions) and then run the following command:
+
+ ```console
+ $securePassword = ConvertTo-SecureString "examplepassword" -AsPlainText -Force
+ $encryptedPassword = $securePassword | ConvertFrom-SecureString
+ Write-Output $encryptedPassword
+ 6500780061006d0070006c006500700061007300730077006f0072006400
+ ```
+
+ If everything is done correctly, you will see the encrypted string that you need to set as the `M365_ENCRYPTED_PASSWORD` environment variable.
+
+ === "Windows"
+
+
+ How to install WSL and PowerShell on it to generate that password (you can use a different distro but this one will work for sure):
+
+ ```console
+ wsl --install -d Ubuntu-22.04
+ ```
+
+ Then, open the Ubuntu terminal and run the following commands:
+
+ ```console
+ sudo apt update && sudo apt install -y wget apt-transport-https software-properties-common
+ wget -q "https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/packages-microsoft-prod.deb"
+ sudo dpkg -i packages-microsoft-prod.deb
+ sudo apt update
+ sudo apt install -y powershell
+ pwsh
+ ```
+
+ With this done you will see now that a prompt running PowerShell with the latest version is open so here you will be able to generate your encrypted password:
+
+ ```console
+ $securePassword = ConvertTo-SecureString "examplepassword" -AsPlainText -Force
+ $encryptedPassword = $securePassword | ConvertFrom-SecureString
+ Write-Output $encryptedPassword
+ 6500780061006d0070006c006500700061007300730077006f0072006400
+ ```
+
+ If everything is done correctly, you will see the encrypted string that you need to set as the `M365_ENCRYPTED_PASSWORD` environment variable.
+
+
### Interactive Browser authentication
-To use `--browser-auth` the user needs to authenticate against Azure using the default browser to start the scan, also `--tenant-id` flag is required.
+Authentication flag: `--browser-auth`
+
+This authentication method requires the user to authenticate against Azure using the default browser to start the scan, also `--tenant-id` flag is required.
+
+With this credentials you will only be able to run the checks that work through MS Graph, this means that you won't run all the provider. If you want to scan all the checks from M365 you will need to use the recommended authentication method.
+
+Since this is a delegated permission authentication method, necessary permissions should be given to the user, not the app.
+
+
+### Needed permissions
+
+Prowler for M365 requires two types of permission scopes to be set (if you want to run the full provider including PowerShell checks). Both must be configured using Microsoft Entra ID:
+
+- **Service Principal Application Permissions**: These are set at the **application** level and are used to retrieve data from the identity being assessed:
+ - `Directory.Read.All`: Required for all services.
+ - `Policy.Read.All`: Required for all services.
+ - `User.Read` (IMPORTANT: this must be set as **delegated**): Required for the sign-in.
+ - `Sites.Read.All`: Required for SharePoint service.
+ - `SharePointTenantSettings.Read.All`: Required for SharePoint service.
+ - `AuditLog.Read.All`: Required for Entra service.
+
+- **Powershell Modules Permissions**: These are set at the `M365_USER` level, so the user used to run Prowler must have one of the following roles:
+ - `Global Reader` (recommended): this allows you to read all roles needed.
+ - `Exchange Administrator` and `Teams Administrator`: user needs both roles but with this [roles](https://learn.microsoft.com/en-us/exchange/permissions-exo/permissions-exo#microsoft-365-permissions-in-exchange-online) you can access to the same information as a Global Reader (since only read access is needed, Global Reader is recommended).
+
+In order to know how to assign those permissions and roles follow the instructions in the Microsoft Entra ID [permissions](../tutorials/microsoft365/getting-started-m365.md#grant-required-api-permissions) and [roles](../tutorials/microsoft365/getting-started-m365.md#assign-required-roles-to-your-user) section.
+
+
+### Supported PowerShell versions
+
+You must have PowerShell installed to run certain M365 checks.
+Currently, we support **PowerShell version 7.4 or higher** (7.5 is recommended).
+
+This requirement exists because **PowerShell 5.1** (the version that comes by default on some Windows systems) does not support several cmdlets needed to run the checks properly.
+Additionally, earlier [PowerShell Cross-Platform versions](https://learn.microsoft.com/en-us/powershell/scripting/install/powershell-support-lifecycle?view=powershell-7.5) are no longer under technical support, which may cause unexpected errors.
+
+
+???+ note
+ Installing powershell will be only needed if you install prowler from pip or other sources, these means that the SDK and API containers contain PowerShell installed by default.
+
+Installing PowerShell is different depending on your OS.
+
+- [Windows](https://learn.microsoft.com/es-es/powershell/scripting/install/installing-powershell-on-windows?view=powershell-7.5#install-powershell-using-winget-recommended): you will need to update PowerShell to +7.4 to be able to run prowler, if not some checks will not show findings and the provider could not work as expected. This version of PowerShell is [supported](https://learn.microsoft.com/es-es/powershell/scripting/install/installing-powershell-on-windows?view=powershell-7.4#supported-versions-of-windows) on Windows 10, Windows 11, Windows Server 2016 and higher versions.
+
+```console
+winget install --id Microsoft.PowerShell --source winget
+```
+
+
+- [MacOS](https://learn.microsoft.com/es-es/powershell/scripting/install/installing-powershell-on-macos?view=powershell-7.5#install-the-latest-stable-release-of-powershell): installing PowerShell on MacOS needs to have installed [brew](https://brew.sh/), once you have it is just running the command above, Pwsh is only supported in macOS 15 (Sequoia) x64 and Arm64, macOS 14 (Sonoma) x64 and Arm64, macOS 13 (Ventura) x64 and Arm64
+
+```console
+brew install powershell/tap/powershell
+```
+
+Once it's installed run `pwsh` on your terminal to verify it's working.
+
+- Linux: installing PowerShell on Linux depends on the distro you are using:
+
+ - [Ubuntu](https://learn.microsoft.com/es-es/powershell/scripting/install/install-ubuntu?view=powershell-7.5#installation-via-package-repository-the-package-repository): The required version for installing PowerShell +7.4 on Ubuntu are Ubuntu 22.04 and Ubuntu 24.04. The recommended way to install it is downloading the package available on PMC. You just need to follow the following steps:
+
+ ```console
+ ###################################
+ # Prerequisites
+
+ # Update the list of packages
+ sudo apt-get update
+
+ # Install pre-requisite packages.
+ sudo apt-get install -y wget apt-transport-https software-properties-common
+
+ # Get the version of Ubuntu
+ source /etc/os-release
+
+ # Download the Microsoft repository keys
+ wget -q https://packages.microsoft.com/config/ubuntu/$VERSION_ID/packages-microsoft-prod.deb
+
+ # Register the Microsoft repository keys
+ sudo dpkg -i packages-microsoft-prod.deb
+
+ # Delete the Microsoft repository keys file
+ rm packages-microsoft-prod.deb
+
+ # Update the list of packages after we added packages.microsoft.com
+ sudo apt-get update
+
+ ###################################
+ # Install PowerShell
+ sudo apt-get install -y powershell
+
+ # Start PowerShell
+ pwsh
+ ```
+
+ - [Alpine](https://learn.microsoft.com/es-es/powershell/scripting/install/install-alpine?view=powershell-7.5#installation-steps): The only supported version for installing PowerShell +7.4 on Alpine is Alpine 3.20. The unique way to install it is downloading the tar.gz package available on [PowerShell github](https://github.com/PowerShell/PowerShell/releases/download/v7.5.0/powershell-7.5.0-linux-musl-x64.tar.gz). You just need to follow the following steps:
+
+ ```console
+ # Install the requirements
+ sudo apk add --no-cache \
+ ca-certificates \
+ less \
+ ncurses-terminfo-base \
+ krb5-libs \
+ libgcc \
+ libintl \
+ libssl3 \
+ libstdc++ \
+ tzdata \
+ userspace-rcu \
+ zlib \
+ icu-libs \
+ curl
+
+ apk -X https://dl-cdn.alpinelinux.org/alpine/edge/main add --no-cache \
+ lttng-ust \
+ openssh-client \
+
+ # Download the powershell '.tar.gz' archive
+ curl -L https://github.com/PowerShell/PowerShell/releases/download/v7.5.0/powershell-7.5.0-linux-musl-x64.tar.gz -o /tmp/powershell.tar.gz
+
+ # Create the target folder where powershell will be placed
+ sudo mkdir -p /opt/microsoft/powershell/7
+
+ # Expand powershell to the target folder
+ sudo tar zxf /tmp/powershell.tar.gz -C /opt/microsoft/powershell/7
+
+ # Set execute permissions
+ sudo chmod +x /opt/microsoft/powershell/7/pwsh
+
+ # Create the symbolic link that points to pwsh
+ sudo ln -s /opt/microsoft/powershell/7/pwsh /usr/bin/pwsh
+
+ # Start PowerShell
+ pwsh
+ ```
+
+ - [Debian](https://learn.microsoft.com/es-es/powershell/scripting/install/install-debian?view=powershell-7.5#installation-on-debian-11-or-12-via-the-package-repository): The required version for installing PowerShell +7.4 on Debian are Debian 11 and Debian 12. The recommended way to install it is downloading the package available on PMC. You just need to follow the following steps:
+
+ ```console
+ ###################################
+ # Prerequisites
+
+ # Update the list of packages
+ sudo apt-get update
+
+ # Install pre-requisite packages.
+ sudo apt-get install -y wget
+
+ # Get the version of Debian
+ source /etc/os-release
+
+ # Download the Microsoft repository GPG keys
+ wget -q https://packages.microsoft.com/config/debian/$VERSION_ID/packages-microsoft-prod.deb
+
+ # Register the Microsoft repository GPG keys
+ sudo dpkg -i packages-microsoft-prod.deb
+
+ # Delete the Microsoft repository GPG keys file
+ rm packages-microsoft-prod.deb
+
+ # Update the list of packages after we added packages.microsoft.com
+ sudo apt-get update
+
+ ###################################
+ # Install PowerShell
+ sudo apt-get install -y powershell
+
+ # Start PowerShell
+ pwsh
+ ```
+
+ - [Rhel](https://learn.microsoft.com/es-es/powershell/scripting/install/install-rhel?view=powershell-7.5#installation-via-the-package-repository): The required version for installing PowerShell +7.4 on Red Hat are RHEL 8 and RHEL 9. The recommended way to install it is downloading the package available on PMC. You just need to follow the following steps:
+
+ ```console
+ ###################################
+ # Prerequisites
+
+ # Get version of RHEL
+ source /etc/os-release
+ if [ ${VERSION_ID%.*} -lt 8 ]
+ then majorver=7
+ elif [ ${VERSION_ID%.*} -lt 9 ]
+ then majorver=8
+ else majorver=9
+ fi
+
+ # Download the Microsoft RedHat repository package
+ curl -sSL -O https://packages.microsoft.com/config/rhel/$majorver/packages-microsoft-prod.rpm
+
+ # Register the Microsoft RedHat repository
+ sudo rpm -i packages-microsoft-prod.rpm
+
+ # Delete the downloaded package after installing
+ rm packages-microsoft-prod.rpm
+
+ # Update package index files
+ sudo dnf update
+ # Install PowerShell
+ sudo dnf install powershell -y
+ ```
+
+- [Docker](https://learn.microsoft.com/es-es/powershell/scripting/install/powershell-in-docker?view=powershell-7.5#use-powershell-in-a-container): The following command download the latest stable versions of PowerShell:
+
+ ```console
+ docker pull mcr.microsoft.com/dotnet/sdk:9.0
+ ```
+
+ To start an interactive shell of Pwsh you just need to run:
+
+ ```console
+ docker run -it mcr.microsoft.com/dotnet/sdk:9.0 pwsh
+ ```
+
+
+### Needed PowerShell modules
+
+To obtain the required data for this provider, we use several PowerShell cmdlets.
+These cmdlets come from different modules that must be installed.
+
+The installation of these modules will be performed automatically if you run Prowler with the flag `--init-modules`. This an example way of running Prowler and installing the modules:
+
+```console
+python3 prowler-cli.py m365 --verbose --log-level ERROR --env-auth --init-modules
+```
+
+If you already have them installed, there is no problem even if you use the flag because it will automatically check if the needed modules are already installed.
+
+???+ note
+ Prowler installs the modules using `-Scope CurrentUser`.
+ If you encounter any issues with services not working after the automatic installation, try installing the modules manually using `-Scope AllUsers` (administrator permissions are required for this).
+ The command needed to install a module manually is:
+ ```powershell
+ Install-Module -Name "ModuleName" -Scope AllUsers -Force
+ ```
+
+The required modules are:
+
+- [ExchangeOnlineManagement](https://www.powershellgallery.com/packages/ExchangeOnlineManagement/3.6.0): Minimum version 3.6.0. Required for several checks across Exchange, Defender, and Purview.
+- [MicrosoftTeams](https://www.powershellgallery.com/packages/MicrosoftTeams/6.6.0): Minimum version 6.6.0. Required for all Teams checks.
+
+## GitHub
+### Authentication
+
+Prowler supports multiple methods to [authenticate with GitHub](https://docs.github.com/en/rest/authentication/authenticating-to-the-rest-api). These include:
+
+- **Personal Access Token (PAT)**
+- **OAuth App Token**
+- **GitHub App Credentials**
+
+This flexibility allows you to scan and analyze your GitHub account, including repositories, organizations, and applications, using the method that best suits your use case.
+
+The provided credentials must have the appropriate permissions to perform all the required checks.
+
+???+ note
+ GitHub App Credentials support less checks than other authentication methods.
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diff --git a/docs/index.md b/docs/index.md
index 27376ecc29..ff0f3237a2 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -53,7 +53,7 @@ Prowler App can be installed in different ways, depending on your environment:
You can change the environment variables in the `.env` file. Note that it is not recommended to use the default values in production environments.
???+ note
- There is a development mode available, you can use the file https://github.com/prowler-cloud/prowler/blob/master/docker-compose.dev.yml to run the app in development mode.
+ There is a development mode available, you can use the file https://github.com/prowler-cloud/prowler/blob/master/docker-compose-dev.yml to run the app in development mode.
???+ warning
Google and GitHub authentication is only available in [Prowler Cloud](https://prowler.com).
@@ -136,7 +136,7 @@ Prowler App can be installed in different ways, depending on your environment:
### Prowler CLI Installation
-Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/), thus can be installed as Python package with `Python >= 3.9`:
+Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/), thus can be installed as Python package with `Python >= 3.9, <= 3.12`:
=== "pipx"
@@ -144,7 +144,7 @@ Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/),
_Requirements_:
- * `Python >= 3.9`
+ * `Python >= 3.9, <= 3.12`
* `pipx` installed: [pipx installation](https://pipx.pypa.io/stable/installation/).
* AWS, GCP, Azure and/or Kubernetes credentials
@@ -168,9 +168,9 @@ Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/),
_Requirements_:
- * `Python >= 3.9`
+ * `Python >= 3.9, <= 3.12`
* `Python pip >= 21.0.0`
- * AWS, GCP, Azure, Microsoft365 and/or Kubernetes credentials
+ * AWS, GCP, Azure, M365 and/or Kubernetes credentials
_Commands_:
@@ -219,7 +219,7 @@ Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/),
git clone https://github.com/prowler-cloud/prowler
cd prowler
poetry install
- poetry run python prowler.py -v
+ poetry run python prowler-cli.py -v
```
???+ note
If you want to clone Prowler from Windows, use `git config core.longpaths true` to allow long file paths.
@@ -228,7 +228,7 @@ Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/),
_Requirements_:
- * `Python >= 3.9`
+ * `Python >= 3.9, <= 3.12`
* AWS, GCP, Azure and/or Kubernetes credentials
_Commands_:
@@ -244,8 +244,8 @@ Prowler is available as a project in [PyPI](https://pypi.org/project/prowler/),
_Requirements_:
- * `Ubuntu 23.04` or above, if you are using an older version of Ubuntu check [pipx installation](https://docs.prowler.com/projects/prowler-open-source/en/latest/#__tabbed_1_1) and ensure you have `Python >= 3.9`.
- * `Python >= 3.9`
+ * `Ubuntu 23.04` or above, if you are using an older version of Ubuntu check [pipx installation](https://docs.prowler.com/projects/prowler-open-source/en/latest/#__tabbed_1_1) and ensure you have `Python >= 3.9, <= 3.12`.
+ * `Python >= 3.9, <= 3.12`
* AWS, GCP, Azure and/or Kubernetes credentials
_Commands_:
@@ -423,7 +423,7 @@ While the scan is running, start exploring the findings in these sections:
### Prowler CLI
-To run Prowler, you will need to specify the provider (e.g `aws`, `gcp`, `azure`, `microsoft365` or `kubernetes`):
+To run Prowler, you will need to specify the provider (e.g `aws`, `gcp`, `azure`, `m365` or `kubernetes`):
???+ note
If no provider specified, AWS will be used for backward compatibility with most of v2 options.
@@ -565,23 +565,52 @@ kubectl logs prowler-XXXXX --namespace prowler-ns
???+ note
By default, `prowler` will scan all namespaces in your active Kubernetes context. Use the flag `--context` to specify the context to be scanned and `--namespaces` to specify the namespaces to be scanned.
-#### Microsoft365
-With Microsoft365 you need to specify which auth method is going to be used:
+#### Microsoft 365
+
+With M365 you need to specify which auth method is going to be used:
```console
+
+# To use both service principal (for MSGraph) and user credentials (for PowerShell modules)
+prowler m365 --env-auth
+
# To use service principal authentication
-prowler microsoft365 --sp-env-auth
+prowler m365 --sp-env-auth
# To use az cli authentication
-prowler microsoft365 --az-cli-auth
+prowler m365 --az-cli-auth
# To use browser authentication
-prowler microsoft365 --browser-auth --tenant-id "XXXXXXXX"
+prowler m365 --browser-auth --tenant-id "XXXXXXXX"
```
-See more details about Microsoft365 Authentication in [Requirements](getting-started/requirements.md#microsoft365)
+See more details about M365 Authentication in [Requirements](getting-started/requirements.md#microsoft-365)
+
+#### GitHub
+
+Prowler allows you to scan your GitHub account, including your repositories, organizations or applications.
+
+There are several supported login methods:
+
+```console
+# Personal Access Token (PAT):
+prowler github --personal-access-token pat
+
+# OAuth App Token:
+prowler github --oauth-app-token oauth_token
+
+# GitHub App Credentials:
+prowler github --github-app-id app_id --github-app-key app_key
+```
+
+???+ note
+ If no login method is explicitly provided, Prowler will automatically attempt to authenticate using environment variables in the following order of precedence:
+
+ 1. `GITHUB_PERSONAL_ACCESS_TOKEN`
+ 2. `OAUTH_APP_TOKEN`
+ 3. `GITHUB_APP_ID` and `GITHUB_APP_KEY`
## Prowler v2 Documentation
For **Prowler v2 Documentation**, please check it out [here](https://github.com/prowler-cloud/prowler/blob/8818f47333a0c1c1a457453c87af0ea5b89a385f/README.md).
diff --git a/docs/tutorials/aws/cloudshell.md b/docs/tutorials/aws/cloudshell.md
index d40b0dd9b4..0e02ea5da4 100644
--- a/docs/tutorials/aws/cloudshell.md
+++ b/docs/tutorials/aws/cloudshell.md
@@ -29,7 +29,7 @@ mkdir /tmp/poetry
poetry config cache-dir /tmp/poetry
eval $(poetry env activate)
poetry install
-python prowler.py -v
+python prowler-cli.py -v
```
> [!IMPORTANT]
> Starting from Poetry v2.0.0, `poetry shell` has been deprecated in favor of `poetry env activate`.
diff --git a/docs/tutorials/aws/getting-started-aws.md b/docs/tutorials/aws/getting-started-aws.md
new file mode 100644
index 0000000000..8414591c67
--- /dev/null
+++ b/docs/tutorials/aws/getting-started-aws.md
@@ -0,0 +1,214 @@
+# Getting Started with AWS on Prowler Cloud/App
+
+
+
+Set up your AWS account to enable security scanning using Prowler Cloud/App.
+
+## Requirements
+
+To configure your AWS account, youโll need:
+
+1. Access to Prowler Cloud/App
+2. Properly configured AWS credentials (either static or via an assumed IAM role)
+
+---
+
+## Step 1: Get Your AWS Account ID
+
+1. Log in to the [AWS Console](https://console.aws.amazon.com)
+2. Locate your AWS account ID in the top-right dropdown menu
+
+
+
+---
+
+## Step 2: Access Prowler Cloud/App
+
+1. Navigate to [Prowler Cloud](https://cloud.prowler.com/) or launch [Prowler App](../prowler-app.md)
+2. Go to `Configuration` > `Cloud Providers`
+
+ 
+
+3. Click `Add Cloud Provider`
+
+ 
+
+4. Select `Amazon Web Services`
+
+ 
+
+5. Enter your AWS Account ID and optionally provide a friendly alias
+
+ 
+
+6. Choose your preferred authentication method (next step)
+
+ 
+
+---
+
+## Step 3: Set Up AWS Authentication
+
+Before proceeding, choose your preferred authentication mode:
+
+Credentials
+
+* Quick scan as current user โ
+* No extra setup โ
+* Credentials time out โ
+
+Assumed Role
+
+* Preferred Setup โ
+* Permanent Credentials โ
+* Requires access to create role โ
+
+---
+
+### ๐ Assume Role (Recommended)
+
+
+
+This method grants permanent access and is the recommended setup for production environments.
+
+=== "CloudFormation"
+
+ 1. Download the [Prowler Scan Role Template](https://raw.githubusercontent.com/prowler-cloud/prowler/refs/heads/master/permissions/templates/cloudformation/prowler-scan-role.yml)
+
+ 
+
+ 
+
+ 2. Open the [AWS Console](https://console.aws.amazon.com), search for **CloudFormation**
+
+ 
+
+ 3. Go to **Stacks** and click `Create stack` > `With new resources (standard)`
+
+ 
+
+ 4. In **Specify Template**, choose `Upload a template file` and select the downloaded file
+
+ 
+ 
+
+ 5. Click `Next`, provide a stack name and the **External ID** shown in the Prowler Cloud setup screen
+
+ 
+ 
+
+ 6. Acknowledge the IAM resource creation warning and proceed
+
+ 
+
+ 7. Click `Submit` to deploy the stack
+
+ 
+
+=== "Terraform"
+
+ To provision the scan role using Terraform:
+
+ 1. Run the following commands:
+
+ ```bash
+ terraform init
+ terraform plan
+ terraform apply
+ ```
+
+ 2. During `plan` and `apply`, you will be prompted for the **External ID**, which is available in the Prowler Cloud/App UI:
+
+ 
+
+ > ๐ก Note: Terraform will use the AWS credentials of your default profile.
+
+---
+
+### Finish Setup with Assume Role
+
+8. Once the role is created, go to the **IAM Console**, click on the `ProwlerScan` role to open its details:
+
+ 
+
+9. Copy the **Role ARN**
+
+ 
+
+10. Paste the ARN into the corresponding field in Prowler Cloud/App
+
+ 
+
+11. Click `Next`, then `Launch Scan`
+
+ 
+ 
+
+---
+
+### ๐ Credentials (Static Access Keys)
+
+You can also configure your AWS account using static credentials (not recommended for long-term use):
+
+
+
+=== "Long term credentials"
+
+ 1. Go to the [AWS Console](https://console.aws.amazon.com), open **CloudShell**
+
+ 
+
+ 2. Run:
+
+ ```bash
+ aws iam create-access-key
+ ```
+
+ 3. Copy the output containing:
+
+ - `AccessKeyId`
+ - `SecretAccessKey`
+
+ 
+
+ > โ ๏ธ Save these credentials securely and paste them into the Prowler Cloud/App setup screen.
+
+=== "Short term credentials (Recommended)"
+
+ You can use your [AWS Access Portal](https://docs.aws.amazon.com/singlesignon/latest/userguide/howtogetcredentials.html) or the CLI:
+
+ 1. Retrieve short-term credentials for the IAM identity using this command:
+
+ ```bash
+ aws sts get-session-token --duration-seconds 900
+ ```
+
+ ???+ note
+ Check the aws documentation [here](https://docs.aws.amazon.com/IAM/latest/UserGuide/sts_example_sts_GetSessionToken_section.html)
+
+ 2. Copy the output containing:
+
+ - `AccessKeyId`
+ - `SecretAccessKey`
+
+ > Sample output:
+ ```json
+ {
+ "Credentials": {
+ "AccessKeyId": "ASIAIOSFODNN7EXAMPLE",
+ "SecretAccessKey": "wJalrXUtnFEMI/K7MDENG/bPxRfiCYzEXAMPLEKEY",
+ "SessionToken": "AQoEXAMPLEH4aoAH0gNCAPyJxz4BlCFFxWNE1OPTgk5TthT+FvwqnKwRcOIfrRh3c/LTo6UDdyJwOOvEVPvLXCrrrUtdnniCEXAMPLE/IvU1dYUg2RVAJBanLiHb4IgRmpRV3zrkuWJOgQs8IZZaIv2BXIa2R4OlgkBN9bkUDNCJiBeb/AXlzBBko7b15fjrBs2+cTQtpZ3CYWFXG8C5zqx37wnOE49mRl/+OtkIKGO7fAE",
+ "Expiration": "2020-05-19T18:06:10+00:00"
+ }
+ }
+ ```
+
+ > โ ๏ธ Save these credentials securely and paste them into the Prowler Cloud/App setup screen.
+
+Complete the form in Prowler Cloud/App and click `Next`
+
+
+
+Click `Launch Scan`
+
+
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diff --git a/docs/tutorials/azure/getting-started-azure.md b/docs/tutorials/azure/getting-started-azure.md
new file mode 100644
index 0000000000..b9331703e8
--- /dev/null
+++ b/docs/tutorials/azure/getting-started-azure.md
@@ -0,0 +1,171 @@
+# Getting Started with Azure on Prowler Cloud/App
+
+
+
+Set up your Azure subscription to enable security scanning using Prowler Cloud/App.
+
+## Requirements
+
+To configure your Azure subscription, youโll need:
+
+1. Get the `Subscription ID`
+2. Access to Prowler Cloud/App
+3. Configure authentication in Azure:
+
+ 3.1 Create a Service Principal
+
+ 3.2 Assign required permissions
+
+ 3.3 Assign permissions at the subscription level
+
+4. Add the credentials to Prowler Cloud/App
+
+---
+
+## Step 1: Get the Subscription ID
+
+1. Go to the [Azure Portal](https://portal.azure.com/#home) and search for `Subscriptions`
+2. Locate and copy your Subscription ID
+
+ 
+ 
+
+---
+
+## Step 2: Access Prowler Cloud/App
+
+1. Go to [Prowler Cloud](https://cloud.prowler.com/) or launch [Prowler App](../prowler-app.md)
+2. Navigate to `Configuration` > `Cloud Providers`
+
+ 
+
+3. Click on `Add Cloud Provider`
+
+ 
+
+4. Select `Microsoft Azure`
+
+ 
+
+5. Add the Subscription ID and an optional alias, then click `Next`
+
+ 
+
+---
+
+## Step 3: Configure the Azure Subscription
+
+### Create the Service Principal
+
+A Service Principal is required to grant Prowler the necessary privileges.
+
+1. Access **Microsoft Entra ID**
+
+ 
+
+2. Navigate to `Manage` > `App registrations`
+
+ 
+
+3. Click `+ New registration`, complete the form, and click `Register`
+
+ 
+
+4. Go to `Certificates & secrets` > `+ New client secret`
+
+ 
+ 
+
+5. Fill in the required fields and click `Add`, then copy the generated value
+
+| Value | Description |
+|-------|-------------|
+| Client ID | Application ID |
+| Client Secret | AZURE_CLIENT_SECRET |
+| Tenant ID | Azure Active Directory tenant ID |
+
+---
+
+### Assign Required API Permissions
+
+Assign the following Microsoft Graph permissions:
+
+ - Directory.Read.All
+
+ - Policy.Read.All
+
+ - UserAuthenticationMethod.Read.All (optional, for MFA checks)
+
+1. Go to your App Registration > `API permissions`
+
+ 
+
+2. Click `+ Add a permission` > `Microsoft Graph` > `Application permissions`
+
+ 
+ 
+
+3. Search and select:
+
+ - `Directory.Read.All`
+ - `Policy.Read.All`
+ - `UserAuthenticationMethod.Read.All`
+
+ 
+
+4. Click `Add permissions`, then grant admin consent
+
+ 
+
+---
+
+### Assign Permissions at the Subscription Level
+
+1. Download the [Prowler Azure Custom Role](https://github.com/prowler-cloud/prowler/blob/master/permissions/prowler-azure-custom-role.json)
+
+ 
+
+2. Modify `assignableScopes` to match your Subscription ID (e.g. `/subscriptions/xxxx-xxxx-xxxx-xxxx`)
+
+3. Go to your Azure Subscription > `Access control (IAM)`
+
+ 
+
+4. Click `+ Add` > `Add custom role`, choose "Start from JSON" and upload the modified file
+
+ 
+
+5. Click `Review + Create` to finish
+
+ 
+
+6. Return to `Access control (IAM)` > `+ Add` > `Add role assignment`
+
+ - Assign the `Reader` role
+ - Then repeat and assign the custom `ProwlerRole`
+
+ 
+
+---
+
+## Step 4: Add Credentials to Prowler Cloud/App
+
+1. Go to your App Registration overview and copy the `Client ID` and `Tenant ID`
+
+ 
+
+2. Go to Prowler Cloud/App and paste:
+
+ - `Client ID`
+ - `Tenant ID`
+ - `AZURE_CLIENT_SECRET` from earlier
+
+ 
+
+3. Click `Next`
+
+ 
+
+4. Click `Launch Scan`
+
+ 
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diff --git a/docs/tutorials/compliance.md b/docs/tutorials/compliance.md
index b3424dbf27..7e9d2f5e82 100644
--- a/docs/tutorials/compliance.md
+++ b/docs/tutorials/compliance.md
@@ -23,55 +23,7 @@ In order to see which compliance frameworks are cover by Prowler, you can use op
prowler --list-compliance
```
-### AWS
-
-- `aws_account_security_onboarding_aws`
-- `aws_audit_manager_control_tower_guardrails_aws`
-- `aws_foundational_security_best_practices_aws`
-- `aws_foundational_technical_review_aws`
-- `aws_well_architected_framework_reliability_pillar_aws`
-- `aws_well_architected_framework_security_pillar_aws`
-- `cis_1.4_aws`
-- `cis_1.5_aws`
-- `cis_2.0_aws`
-- `cis_3.0_aws`
-- `cisa_aws`
-- `ens_rd2022_aws`
-- `fedramp_low_revision_4_aws`
-- `fedramp_moderate_revision_4_aws`
-- `ffiec_aws`
-- `gdpr_aws`
-- `gxp_21_cfr_part_11_aws`
-- `gxp_eu_annex_11_aws`
-- `hipaa_aws`
-- `iso27001_2013_aws`
-- `kisa_isms_p_2023_aws`
-- `kisa_isms_p_2023_korean_aws`
-- `mitre_attack_aws`
-- `nist_800_171_revision_2_aws`
-- `nist_800_53_revision_4_aws`
-- `nist_800_53_revision_5_aws`
-- `nist_csf_1.1_aws`
-- `pci_3.2.1_aws`
-- `rbi_cyber_security_framework_aws`
-- `soc2_aws`
-
-### Azure
-
-- `cis_2.0_azure`
-- `cis_2.1_azure`
-- `ens_rd2022_azure`
-- `mitre_attack_azure`
-
-### GCP
-
-- `cis_2.0_gcp`
-- `ens_rd2022_gcp`
-- `mitre_attack_gcp`
-
-### Kubernetes
-
-- `cis_1.8_kubernetes`
+The full and updated list of supported compliance frameworks for each provider is available at [Prowler Hub](https://hub.prowler.com/compliance).
##ย List Requirements of Compliance Frameworks
For each compliance framework, you can use option `--list-compliance-requirements` to list its requirements:
diff --git a/docs/tutorials/configuration_file.md b/docs/tutorials/configuration_file.md
index 6a54e72bf2..78b9865183 100644
--- a/docs/tutorials/configuration_file.md
+++ b/docs/tutorials/configuration_file.md
@@ -97,14 +97,16 @@ The following list includes all the Kubernetes checks with configurable variable
| `kubelet_strong_ciphers_only` | `kubelet_strong_ciphers` | String |
-## Microsoft365
+## M365
### Configurable Checks
-The following list includes all the Microsoft365 checks with configurable variables that can be changed in the configuration yaml file:
+The following list includes all the Microsoft 365 checks with configurable variables that can be changed in the configuration yaml file:
| Check Name | Value | Type |
|---------------------------------------------------------------|--------------------------------------------------|-----------------|
| `entra_admin_users_sign_in_frequency_enabled` | `sign_in_frequency` | Integer |
+| `teams_external_file_sharing_restricted` | `allowed_cloud_storage_services` | List of Strings |
+| `exchange_organization_mailtips_enabled` | `recommended_mailtips_large_audience_threshold` | Integer |
## Config YAML File Structure
@@ -504,10 +506,24 @@ kubernetes:
"TLS_RSA_WITH_AES_128_GCM_SHA256",
]
-# Microsoft365 Configuration
-microsoft365:
- # Conditional Access Policy
- # policy.session_controls.sign_in_frequency.frequency in hours
- sign_in_frequency: 4
+# M365 Configuration
+m365:
+ # Entra Conditional Access Policy
+ # m365.entra_admin_users_sign_in_frequency_enabled
+ sign_in_frequency: 4 # 4 hours
+ # Teams Settings
+ # m365.teams_external_file_sharing_restricted
+ allowed_cloud_storage_services:
+ [
+ #"allow_box",
+ #"allow_drop_box",
+ #"allow_egnyte",
+ #"allow_google_drive",
+ #"allow_share_file",
+ ]
+ # Exchange Organization Settings
+ # m365.exchange_organization_mailtips_enabled
+ recommended_mailtips_large_audience_threshold: 25 # maximum number of recipients
+
```
diff --git a/docs/tutorials/gcp/authentication.md b/docs/tutorials/gcp/authentication.md
index 85707a8f05..971796a753 100644
--- a/docs/tutorials/gcp/authentication.md
+++ b/docs/tutorials/gcp/authentication.md
@@ -4,8 +4,13 @@ Prowler will use by default your User Account credentials, you can configure it
- `gcloud init` to use a new account
- `gcloud config set account ` to use an existing account
+- `gcloud auth application-default login`
-Then, obtain your access credentials using: `gcloud auth application-default login`
+This will generate Application Default Credentials (ADC) that Prowler will use automatically.
+
+---
+
+## Using a Service Account key file
Otherwise, you can generate and download Service Account keys in JSON format (refer to https://cloud.google.com/iam/docs/creating-managing-service-account-keys) and provide the location of the file with the following argument:
@@ -16,14 +21,60 @@ prowler gcp --credentials-file path
???+ note
`prowler` will scan the GCP project associated with the credentials.
+---
-Prowler will follow the same credentials search as [Google authentication libraries](https://cloud.google.com/docs/authentication/application-default-credentials#search_order):
+## Using an access token
-1. [GOOGLE_APPLICATION_CREDENTIALS environment variable](https://cloud.google.com/docs/authentication/application-default-credentials#GAC)
-2. [User credentials set up by using the Google Cloud CLI](https://cloud.google.com/docs/authentication/application-default-credentials#personal)
-3. [The attached service account, returned by the metadata server](https://cloud.google.com/docs/authentication/application-default-credentials#attached-sa)
+If you already have an access token (e.g., generated with `gcloud auth print-access-token`), you can run Prowler with:
-Those credentials must be associated to a user or service account with proper permissions to do all checks. To make sure, add the `Viewer` role to the member associated with the credentials.
+```bash
+export CLOUDSDK_AUTH_ACCESS_TOKEN=$(gcloud auth print-access-token)
+prowler gcp --project-ids
+```
+
+???+ note
+ If using this method, it's recommended to also set the default project explicitly:
+ ```bash
+ export GOOGLE_CLOUD_PROJECT=
+ ```
+
+---
+
+## Credentials lookup order
+
+Prowler follows the same search order as [Google authentication libraries](https://cloud.google.com/docs/authentication/application-default-credentials#search_order):
+
+1. [`GOOGLE_APPLICATION_CREDENTIALS` environment variable](https://cloud.google.com/docs/authentication/application-default-credentials#GAC)
+2. [`CLOUDSDK_AUTH_ACCESS_TOKEN` + optional `GOOGLE_CLOUD_PROJECT`](https://cloud.google.com/sdk/gcloud/reference/auth/print-access-token)
+3. [User credentials set up by using the Google Cloud CLI](https://cloud.google.com/docs/authentication/application-default-credentials#personal)
+4. [Attached service account (e.g., Cloud Run, GCE, Cloud Functions)](https://cloud.google.com/docs/authentication/application-default-credentials#attached-sa)
+
+???+ note
+ The credentials must belong to a user or service account with the necessary permissions.
+ To ensure full access, assign the roles/viewer IAM role to the identity being used.
+
+???+ note
+ Prowler will use the enabled Google Cloud APIs to get the information needed to perform the checks.
+
+---
+
+
+## Needed permissions
+
+Prowler for Google Cloud needs the following permissions to be set:
+
+- **Viewer (`roles/viewer`) IAM role**: granted at the project / folder / org level in order to scan the target projects
+
+- **Project level settings**: you need to have at least one project with the below settings:
+ - Identity and Access Management (IAM) API (`iam.googleapis.com`) enabled by either using the
+ [Google Cloud API UI](https://console.cloud.google.com/apis/api/iam.googleapis.com/metrics) or
+ by using the gcloud CLI `gcloud services enable iam.googleapis.com --project ` command
+ - Service Usage Consumer (`roles/serviceusage.serviceUsageConsumer`) IAM role
+ - Set the quota project to be this project by either running `gcloud auth application-default set-quota-project ` or by setting an environment variable:
+ `export GOOGLE_CLOUD_QUOTA_PROJECT=`
+
+
+The above settings must be associated to a user or service account.
???+ note
Prowler will use the enabled Google Cloud APIs to get the information needed to perform the checks.
diff --git a/docs/tutorials/gcp/getting-started-gcp.md b/docs/tutorials/gcp/getting-started-gcp.md
new file mode 100644
index 0000000000..9047b5e0ef
--- /dev/null
+++ b/docs/tutorials/gcp/getting-started-gcp.md
@@ -0,0 +1,107 @@
+# Getting Started with GCP on Prowler Cloud/App
+
+
+
+Set up your GCP project to enable security scanning using Prowler Cloud/App.
+
+## Requirements
+
+To configure your GCP project, youโll need:
+
+1. Get the `Project ID`
+2. Access to Prowler Cloud/App
+3. Configure authentication in GCP:
+
+ 3.1 Retrieve credentials from Google Cloud
+
+4. Add the credentials to Prowler Cloud/App
+
+---
+
+## Step 1: Get the Project ID
+
+1. Go to the [GCP Console](https://console.cloud.google.com/)
+2. Locate your Project ID on the welcome screen
+
+
+
+---
+
+## Step 2: Access Prowler Cloud/App
+
+1. Go to [Prowler Cloud](https://cloud.prowler.com/) or launch [Prowler App](../prowler-app.md)
+2. Navigate to `Configuration` > `Cloud Providers`
+
+ 
+
+3. Click `Add Cloud Provider`
+
+ 
+
+4. Select `Google Cloud Platform`
+
+ 
+
+5. Add the Project ID and optionally provide a provider alias, then click `Next`
+
+ 
+
+---
+
+## Step 3: Configure Authentication in GCP
+
+### Retrieve Credentials from Google Cloud
+
+1. In the [GCP Console](https://console.cloud.google.com/), click on `Activate Cloud Shell`
+
+ 
+
+2. Click `Authorize Cloud Shell`
+
+ 
+
+3. Run the following command:
+
+ ```bash
+ gcloud auth application-default login
+ ```
+
+ - Type `Y` when prompted
+
+ 
+
+4. Open the authentication URL provided in a browser and select your Google account
+
+ 
+
+5. Follow the steps to obtain the authentication code
+
+ 
+
+6. Paste the authentication code back in Cloud Shell
+
+ 
+
+7. Use `cat ` to view the temporary credentials file
+
+ 
+
+8. Extract the following values for Prowler Cloud/App:
+
+ - `client_id`
+ - `client_secret`
+ - `refresh_token`
+
+ 
+
+---
+
+## Step 4: Add Credentials to Prowler Cloud/App
+
+1. Go back to Prowler Cloud/App and enter the required credentials, then click `Next`
+
+ 
+
+2. Click `Launch Scan` to begin scanning your GCP environment
+
+ 
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diff --git a/docs/tutorials/github/authentication.md b/docs/tutorials/github/authentication.md
new file mode 100644
index 0000000000..29f7795aba
--- /dev/null
+++ b/docs/tutorials/github/authentication.md
@@ -0,0 +1,44 @@
+# GitHub Authentication
+
+Prowler supports multiple methods to [authenticate with GitHub](https://docs.github.com/en/rest/authentication/authenticating-to-the-rest-api). These include:
+
+- **Personal Access Token (PAT)**
+- **OAuth App Token**
+- **GitHub App Credentials**
+
+This flexibility allows you to scan and analyze your GitHub account, including repositories, organizations, and applications, using the method that best suits your use case.
+
+## Supported Login Methods
+
+Here are the available login methods and their respective flags:
+
+### Personal Access Token (PAT)
+Use this method by providing your personal access token directly.
+
+```console
+prowler github --personal-access-token pat
+```
+
+### OAuth App Token
+Authenticate using an OAuth app token.
+
+```console
+prowler github --oauth-app-token oauth_token
+```
+
+### GitHub App Credentials
+Use GitHub App credentials by specifying the App ID and the private key.
+
+```console
+prowler github --github-app-id app_id --github-app-key app_key
+```
+
+### Automatic Login Method Detection
+If no login method is explicitly provided, Prowler will automatically attempt to authenticate using environment variables in the following order of precedence:
+
+1. `GITHUB_PERSONAL_ACCESS_TOKEN`
+2. `OAUTH_APP_TOKEN`
+3. `GITHUB_APP_ID` and `GITHUB_APP_KEY`
+
+???+ note
+ Ensure the corresponding environment variables are set up before running Prowler for automatic detection if you don't plan to specify the login method.
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diff --git a/docs/tutorials/kubernetes/in-cluster.md b/docs/tutorials/kubernetes/in-cluster.md
index 9b16b21f09..667b1f6436 100644
--- a/docs/tutorials/kubernetes/in-cluster.md
+++ b/docs/tutorials/kubernetes/in-cluster.md
@@ -20,3 +20,19 @@ kubectl logs prowler-XXXXX --namespace prowler-ns
???+ note
By default, `prowler` will scan all namespaces in your active Kubernetes context. Use the [`--namespace`](https://docs.prowler.com/projects/prowler-open-source/en/latest/tutorials/kubernetes/namespace/) flag to specify the namespace(s) to be scanned.
+
+???+ tip "Identifying the cluster in reports"
+ When running in in-cluster mode, the Kubernetes API does not expose the actual cluster name by default.
+
+ To uniquely identify the cluster in logs and reports, you can:
+
+ - Use the `--cluster-name` flag to manually set the cluster name:
+ ```bash
+ prowler -p kubernetes --cluster-name production-cluster
+ ```
+ - Or set the `CLUSTER_NAME` environment variable:
+ ```yaml
+ env:
+ - name: CLUSTER_NAME
+ value: production-cluster
+ ```
diff --git a/docs/tutorials/kubernetes/misc.md b/docs/tutorials/kubernetes/misc.md
index 2554bc712b..0d1edb936b 100644
--- a/docs/tutorials/kubernetes/misc.md
+++ b/docs/tutorials/kubernetes/misc.md
@@ -21,3 +21,23 @@ To specify the namespace(s) to be scanned, use the `--namespace` flag followed b
```console
prowler --namespace namespace1 namespace2
```
+
+## Proxy and TLS Verification
+
+If your Kubernetes cluster is only accessible via an internal proxy, Prowler will respect the `HTTPS_PROXY` or `https_proxy` environment variable:
+
+```console
+export HTTPS_PROXY=http://my.internal.proxy:8888
+prowler kubernetes ...
+```
+
+If you need to skip TLS verification for internal proxies, you can set the `K8S_SKIP_TLS_VERIFY` environment variable:
+
+```console
+export K8S_SKIP_TLS_VERIFY=true
+prowler kubernetes ...
+```
+
+This will allow Prowler to connect to the cluster even if the proxy uses a self-signed certificate.
+
+These environment variables are supported both when using an external `kubeconfig` and in in-cluster mode.
diff --git a/docs/tutorials/microsoft365/authentication.md b/docs/tutorials/microsoft365/authentication.md
index 750352ed76..f8bd9d13d4 100644
--- a/docs/tutorials/microsoft365/authentication.md
+++ b/docs/tutorials/microsoft365/authentication.md
@@ -1,23 +1,28 @@
-# Microsoft365 authentication
+# Microsoft 365 authentication
By default Prowler uses MsGraph Python SDK identity package authentication methods using the class `ClientSecretCredential`.
-This allows Prowler to authenticate against microsoft365 using the following methods:
+This allows Prowler to authenticate against Microsoft 365 using the following methods:
- Service principal authentication by environment variables (Enterprise Application)
+- Service principal and Microsoft user credentials by environment variabled (using PowerShell requires this authentication method)
- Current CLI credentials stored
- Interactive browser authentication
+
To launch the tool first you need to specify which method is used through the following flags:
```console
+# To use service principal (app) authentication and Microsoft user credentials (to use PowerShell)
+prowler m365 --env-auth
+
# To use service principal authentication
-prowler microsoft365 --sp-env-auth
+prowler m365 --sp-env-auth
# To use cli authentication
-prowler microsoft365 --az-cli-auth
+prowler m365 --az-cli-auth
# To use browser authentication
-prowler microsoft365 --browser-auth --tenant-id "XXXXXXXX"
+prowler m365 --browser-auth --tenant-id "XXXXXXXX"
```
-To use Prowler you need to set up also the permissions required to access your resources in your Microsoft365 account, to more details refer to [Requirements](../../getting-started/requirements.md)
+To use Prowler you need to set up also the permissions required to access your resources in your Microsoft 365 account, to more details refer to [Requirements](../../getting-started/requirements.md#microsoft-365)
diff --git a/docs/tutorials/microsoft365/getting-started-m365.md b/docs/tutorials/microsoft365/getting-started-m365.md
new file mode 100644
index 0000000000..067b31a1dd
--- /dev/null
+++ b/docs/tutorials/microsoft365/getting-started-m365.md
@@ -0,0 +1,205 @@
+# Getting Started with M365 on Prowler Cloud/App
+
+Set up your M365 account to enable security scanning using Prowler Cloud/App.
+
+## Requirements
+
+To configure your M365 account, youโll need:
+
+1. Obtain your `Default Domain` from the Entra ID portal.
+
+2. Access Prowler Cloud/App and add a new cloud provider `Microsoft 365`.
+
+3. Configure your M365 account:
+
+ 3.1 Create the Service Principal app.
+
+ 3.2 Grant the required API permissions.
+
+ 3.3 Assign the required roles to your user.
+
+ 3.4 Retrieve your encrypted password.
+
+4. Add the credentials to Prowler Cloud/App.
+
+## Step 1: Obtain your Domain
+
+Go to the Entra ID portal, then you can search for `Domain` or go to Identity > Settings > Domain Names.
+
+
+
+
+
+
+
+Once you are there just look for the `Default Domain` this should be something similar to `YourCompany.onmicrosoft.com`. To ensure that you are picking the correct domain just click on it and verify that the type is `Initial` and you can't delete it.
+
+
+
+---
+
+## Step 2: Access Prowler Cloud/App
+
+1. Go to [Prowler Cloud](https://cloud.prowler.com/) or launch [Prowler App](../prowler-app.md)
+2. Navigate to `Configuration` > `Cloud Providers`
+
+ 
+
+3. Click on `Add Cloud Provider`
+
+ 
+
+4. Select `Microsoft 365`
+
+ 
+
+5. Add the Domain ID and an optional alias, then click `Next`
+
+ 
+
+---
+
+## Step 3: Configure your M365 account
+
+
+### Create the Service Principal app
+
+A Service Principal is required to grant Prowler the necessary privileges.
+
+1. Access **Microsoft Entra ID**
+
+ 
+
+2. Navigate to `Applications` > `App registrations`
+
+ 
+
+3. Click `+ New registration`, complete the form, and click `Register`
+
+ 
+
+4. Go to `Certificates & secrets` > `+ New client secret`
+
+ 
+
+5. Fill in the required fields and click `Add`, then copy the generated value (that value will be `AZURE_CLIENT_SECRET`)
+
+ 
+
+With this done you will have all the needed keys, summarized in the following table
+
+| Value | Description |
+|-------|-------------|
+| Client ID | Application (client) ID |
+| Client Secret | AZURE_CLIENT_SECRET |
+| Tenant ID | Directory (tenant) ID |
+
+---
+
+### Grant required API permissions
+
+Assign the following Microsoft Graph permissions:
+
+- `Directory.Read.All`: Required for all services.
+- `Policy.Read.All`: Required for all services.
+- `User.Read` (IMPORTANT: this is set as **delegated**): Required for the sign-in.
+- `Sites.Read.All`: Required for SharePoint service.
+- `SharePointTenantSettings.Read.All`: Required for SharePoint service.
+
+Follow these steps to assign the permissions:
+
+1. Go to your App Registration > Select your Prowler App created before > click on `API permissions`
+
+ 
+
+2. Click `+ Add a permission` > `Microsoft Graph` > `Application permissions`
+
+ 
+
+3. Search and select every permission below and once all are selected click on `Add permissions`:
+
+ - `Directory.Read.All`
+ - `Policy.Read.All`
+ - `Sites.Read.All`
+ - `SharePointTenantSettings.Read.All`
+
+ 
+
+4. Click `Add permissions`, then grant admin consent
+
+ 
+
+5. Click `+ Add a permission` > `Microsoft Graph` > `Delegated permissions`
+
+ 
+
+6. Search and select:
+
+ - `User.Read`
+
+ 
+
+7. Click `Add permissions`, then grant admin consent
+
+ 
+
+---
+
+### Assign required roles to your user
+
+Assign one of the following roles to your User:
+
+- `Global Reader` (recommended): this allows you to read all roles needed.
+- `Exchange Administrator` and `Teams Administrator`: user needs both roles but with this [roles](https://learn.microsoft.com/en-us/exchange/permissions-exo/permissions-exo#microsoft-365-permissions-in-exchange-online) you can access to the same information as a Global Reader (here you only read so that's why we recomend that role).
+
+Follow these steps to assign the role:
+
+1. Go to Users > All Users > Click on the email for the user you will use
+
+ 
+
+2. Click `Assigned Roles`
+
+ 
+
+3. Click on `Add assignments`, then search and select:
+
+ - `Global Reader` This is the recommended, if you want to use the others just search for them
+
+ 
+
+4. Click on next, then assign the role as `Active`, and click on `Assign` to grant admin consent
+
+ 
+
+---
+
+### Get your encrypted password
+
+For this step you will need to use PowerShell, here you will have to create your Encrypted Password based on the password of the User that you are going to use. For more information about how to generate this Password go [here](../../getting-started/requirements.md#service-principal-and-user-credentials-authentication-recommended) and follow the steps needed to obtain `M365_ENCRYPTED_PASSWORD`.
+
+---
+
+## Step 4: Add credentials to Prowler Cloud/App
+
+1. Go to your App Registration overview and copy the `Client ID` and `Tenant ID`
+
+ 
+
+2. Go to Prowler Cloud/App and paste:
+
+ - `Client ID`
+ - `Tenant ID`
+ - `AZURE_CLIENT_SECRET` from earlier
+ - `M365_USER` your user using the default domain, more info [here](../../getting-started/requirements.md#service-principal-and-user-credentials-authentication-recommended)
+ - `M365_ENCRYPTED_PASSWORD` generated before
+
+ 
+
+3. Click `Next`
+
+ 
+
+4. Click `Launch Scan`
+
+ 
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diff --git a/docs/tutorials/microsoft365/img/user-info-page.png b/docs/tutorials/microsoft365/img/user-info-page.png
new file mode 100644
index 0000000000..f0e2152fe0
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diff --git a/docs/tutorials/microsoft365/img/user-role-page.png b/docs/tutorials/microsoft365/img/user-role-page.png
new file mode 100644
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diff --git a/docs/tutorials/microsoft365/use-of-powershell.md b/docs/tutorials/microsoft365/use-of-powershell.md
new file mode 100644
index 0000000000..d8fa5585bf
--- /dev/null
+++ b/docs/tutorials/microsoft365/use-of-powershell.md
@@ -0,0 +1,12 @@
+PowerShell is required by this provider because it is the only way to retrieve data from certain Microsoft 365 services.
+
+## Installing PowerShell
+
+If you are using Prowler Cloud, you don't need to worry about PowerShell โ it is already installed in our infrastructure.
+However, if you want to run Prowler on your own, you must have PowerShell installed to execute the full M365 provider and retrieve all findings.
+To learn more about how to install PowerShell and which versions are supported, click [here](../../getting-started/requirements.md#supported-powershell-versions).
+
+## Required Modules
+
+The necessary modules will not be installed automatically by Prowler. Nevertheless, if you want Prowler to install them for you, you can execute the provider with the flag `--init-modules`, which will run the script to install and import them.
+If you want to learn more about this process or you are running some issues with this, click [here](../../getting-started/requirements.md#needed-powershell-modules).
diff --git a/docs/tutorials/misc.md b/docs/tutorials/misc.md
index 5b17592548..2f646aab10 100644
--- a/docs/tutorials/misc.md
+++ b/docs/tutorials/misc.md
@@ -38,11 +38,11 @@ prowler --list-checks
```
- Execute specific check(s):
```console
-prowler -c/--checks s3_bucket_public_access
+prowler -c/--checks s3_bucket_public_access iam_root_mfa_enabled
```
- Exclude specific check(s):
```console
-prowler -e/--excluded-checks ec2 rds
+prowler -e/--excluded-checks s3_bucket_public_access iam_root_mfa_enabled
```
- Execute checks that appears in a json file:
```json
diff --git a/docs/tutorials/prowler-app-social-login.md b/docs/tutorials/prowler-app-social-login.md
new file mode 100644
index 0000000000..6b4dd53a57
--- /dev/null
+++ b/docs/tutorials/prowler-app-social-login.md
@@ -0,0 +1,52 @@
+# Social Login Configuration
+
+The **Prowler App** supports social login using Google and GitHub OAuth providers. This document guides you through configuring the required environment variables to enable social authentication.
+
+
+
+## Configuring Social Login Credentials
+
+To enable social login with Google and GitHub, you must define the following environment variables:
+
+### Google OAuth Configuration
+
+Set the following environment variables for Google OAuth:
+
+```env
+SOCIAL_GOOGLE_OAUTH_CLIENT_ID=""
+SOCIAL_GOOGLE_OAUTH_CLIENT_SECRET=""
+```
+
+### GitHub OAuth Configuration
+
+Set the following environment variables for GitHub OAuth:
+
+```env
+SOCIAL_GITHUB_OAUTH_CLIENT_ID=""
+SOCIAL_GITHUB_OAUTH_CLIENT_SECRET=""
+```
+
+### Important Notes
+
+- If either `SOCIAL_GOOGLE_OAUTH_CLIENT_ID` or `SOCIAL_GOOGLE_OAUTH_CLIENT_SECRET` is empty or not defined, the Google login button will be disabled.
+- If either `SOCIAL_GITHUB_OAUTH_CLIENT_ID` or `SOCIAL_GITHUB_OAUTH_CLIENT_SECRET` is empty or not defined, the GitHub login button will be disabled.
+
+
+
+
+## Obtaining OAuth Credentials
+
+To obtain `CLIENT_ID` and `CLIENT_SECRET` for each provider, follow their official documentation:
+
+- **Google OAuth**: [Google OAuth Credentials Setup](https://developers.google.com/identity/protocols/oauth2)
+- **GitHub OAuth**: [GitHub OAuth App Setup](https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/creating-an-oauth-app)
+
+### Steps Overview
+
+For both providers, the process generally involves:
+
+1. Registering your application in the provider's developer portal.
+2. Defining the authorized redirect URL (`SOCIAL__OAUTH_CALLBACK_URL`).
+3. Copying the generated `CLIENT_ID` and `CLIENT_SECRET` into the corresponding environment variables.
+
+Once completed, ensure your environment variables are correctly loaded in your Prowler deployment to activate social login.
diff --git a/docs/tutorials/prowler-app.md b/docs/tutorials/prowler-app.md
index 18e5f5a2df..0137689147 100644
--- a/docs/tutorials/prowler-app.md
+++ b/docs/tutorials/prowler-app.md
@@ -9,11 +9,23 @@ You can also access to the auto-generated **Prowler API** documentation at [http
If you are a [Prowler Cloud](https://cloud.prowler.com/sign-in) user you can see API docs at [https://api.prowler.com/api/v1/docs](https://api.prowler.com/api/v1/docs)
## **Step 1: Sign Up**
+### **Sign up with Email**
To get started, sign up using your email and password:
+### **Sign up with Social Login**
+
+If Social Login is enabled, you can sign up using your preferred provider (e.g., Google, GitHub).
+
+???+ note "How Social Login Works"
+ - If your email is already registered, you will be logged in, and your social account will be linked.
+ - If your email is not registered, a new account will be created using your social account email.
+
+???+ note "Enable Social Login"
+ See [how to configure Social Login for Prowler](prowler-app-social-login.md) to enable this feature in your own deployments.
+
---
## **Step 2: Log In**
@@ -138,6 +150,13 @@ By default, the `kubeconfig` file is located at `~/.kube/config`.
---
+###ย **Step 4.5: M365 Credentials**
+For M365, Prowler App uses a service principal application with user and password to authenticate, for more information about the requirements needed for this provider check this [section](../getting-started/requirements.md#microsoft-365). Also, the detailed steps of how to add this provider to Prowler Cloud and start using it are [here](./microsoft365/getting-started-m365.md).
+
+
+
+---
+
## **Step 5: Test Connection**
After adding your credentials of your cloud account, click the `Launch` button to verify that the Prowler App can successfully connect to your provider:
@@ -175,12 +194,45 @@ To view all `new` findings that have not been seen prior to this scan, click the
## **Step 9: Download the Outputs**
-Once the scan is complete, you can download the output files generated by Prowler as a single `zip` file. This archive contains the CSV, JSON-OSCF, and HTML reports detailing the findings.
+Once a scan is complete, navigate to the Scan Jobs section to download the output files generated by Prowler:
-To download these files, click the **Download** button. This button becomes available only after the scan has finished.
+
+
+These outputs are bundled into a single .zip archive containing:
+
+- CSV report
+
+- JSON-OSCF formatted results
+
+- HTML report
+
+- A folder with individual compliance reports
+
+???+ note "Note"
+ The Download button only becomes active after a scan completes successfully.
-This action downloads a `zip` file containing an `output` folder, which includes the files mentioned above: CSV, JSON-OSCF, and HTML reports.
+The `zip` file unpacks into a folder named like `prowler-output--`, which includes all of the above outputs. In the example below, you can see the `.csv`, .`json`, and `.html` reports alongside a subfolder for detailed compliance checks.
+
+???+ note "API Note"
+ For more information about the API endpoint used by the UI to download the ZIP archive, refer to: [Prowler API Reference - Download Scan Output](https://api.prowler.com/api/v1/docs#tag/Scan/operation/scans_report_retrieve)
+
+## **Step 10: Download specified compliance report**
+
+Once your scan has finished, you donโt need to grab the entire ZIPโjust pull down the specific compliance report you want:
+
+- Navigate to the **Compliance** section of the UI.
+
+
+
+- Find the Framework report you need.
+
+- Click its **Download** icon to retrieve that reportโs CSV file with all the detailed findings.
+
+
+
+???+ note "API Note"
+ To fetch a single compliance report via API, see the Retrieve compliance report as CSV endpoint in the Prowler API Reference.[Prowler API Reference - Retrieve compliance report as CSV](https://api.prowler.com/api/v1/docs#tag/Scan/operation/scans_compliance_retrieve)
diff --git a/examples/output/example_output_azure.ocsf.json b/examples/output/example_output_azure.ocsf.json
index f90549ba48..2190cb308f 100644
--- a/examples/output/example_output_azure.ocsf.json
+++ b/examples/output/example_output_azure.ocsf.json
@@ -377,7 +377,7 @@
"product_uid": "prowler",
"title": "Ensure Image Vulnerability Scanning using Azure Defender image scanning or a third party provider",
"types": [],
- "uid": "prowler-azure-defender_container_images_scan_enabled--global-Dender plan for Containers"
+ "uid": "prowler-azure-defender_container_images_scan_enabled--global-Defender plan for Containers"
},
"resources": [
{
diff --git a/examples/sdk/aws_scan.ipynb b/examples/sdk/aws_scan.ipynb
index e6294a081a..f19b3ad897 100644
--- a/examples/sdk/aws_scan.ipynb
+++ b/examples/sdk/aws_scan.ipynb
@@ -66,7 +66,7 @@
"# from prowler.providers.gcp.gcp_provider import GcpProvider\n",
"# from prowler.providers.azure.azure_provider import AzureProvider\n",
"# from prowler.providers.kubernetes.kubernetes_provider import KubernetesProvider\n",
- "# from prowler.providers.microsoft365.microsoft365_provider import Microsoft365Provider"
+ "# from prowler.providers.m365.m365_provider import M365Provider"
]
},
{
diff --git a/kubernetes/job.yaml b/kubernetes/job.yaml
index ac21722eb0..5eb791827b 100644
--- a/kubernetes/job.yaml
+++ b/kubernetes/job.yaml
@@ -13,7 +13,6 @@ spec:
containers:
- name: prowler
image: toniblyx/prowler:stable
- command: ["prowler"]
args: ["kubernetes", "-z"]
imagePullPolicy: Always
volumeMounts:
diff --git a/mkdocs.yml b/mkdocs.yml
index a2fa253e4e..b01fa5a2bb 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -34,10 +34,10 @@ theme:
icon: material/weather-sunny
name: Switch to light mode
-plugins:
- - search
- - git-revision-date-localized:
- enable_creation_date: true
+# plugins:
+# - search
+# - git-revision-date-localized:
+# enable_creation_date: true
edit_uri: "https://github.com/prowler-cloud/prowler/tree/master/docs"
# Prowler OSS Repository
@@ -50,27 +50,29 @@ nav:
- Requirements: getting-started/requirements.md
- Tutorials:
- Prowler App:
- - Getting Started: tutorials/prowler-app.md
- - Role-Based Access Control: tutorials/prowler-app-rbac.md
+ - Getting Started: tutorials/prowler-app.md
+ - Role-Based Access Control: tutorials/prowler-app-rbac.md
+ - Social Login: tutorials/prowler-app-social-login.md
- CLI:
- - Miscellaneous: tutorials/misc.md
- - Reporting: tutorials/reporting.md
- - Compliance: tutorials/compliance.md
- - Dashboard: tutorials/dashboard.md
- - Fixer (remediations): tutorials/fixer.md
- - Quick Inventory: tutorials/quick-inventory.md
- - Slack Integration: tutorials/integrations.md
- - Configuration File: tutorials/configuration_file.md
- - Logging: tutorials/logging.md
- - Mutelist: tutorials/mutelist.md
- - Check Aliases: tutorials/check-aliases.md
- - Custom Metadata: tutorials/custom-checks-metadata.md
- - Scan Unused Services: tutorials/scan-unused-services.md
- - Pentesting: tutorials/pentesting.md
- - Parallel Execution: tutorials/parallel-execution.md
- - Developer Guide: developer-guide/introduction.md
- - Prowler Check Kreator: tutorials/prowler-check-kreator.md
+ - Miscellaneous: tutorials/misc.md
+ - Reporting: tutorials/reporting.md
+ - Compliance: tutorials/compliance.md
+ - Dashboard: tutorials/dashboard.md
+ - Fixer (remediations): tutorials/fixer.md
+ - Quick Inventory: tutorials/quick-inventory.md
+ - Slack Integration: tutorials/integrations.md
+ - Configuration File: tutorials/configuration_file.md
+ - Logging: tutorials/logging.md
+ - Mutelist: tutorials/mutelist.md
+ - Check Aliases: tutorials/check-aliases.md
+ - Custom Metadata: tutorials/custom-checks-metadata.md
+ - Scan Unused Services: tutorials/scan-unused-services.md
+ - Pentesting: tutorials/pentesting.md
+ - Parallel Execution: tutorials/parallel-execution.md
+ - Developer Guide: developer-guide/introduction.md
+ - Prowler Check Kreator: tutorials/prowler-check-kreator.md
- AWS:
+ - Getting Started: tutorials/aws/getting-started-aws.md
- Authentication: tutorials/aws/authentication.md
- Assume Role: tutorials/aws/role-assumption.md
- AWS Security Hub: tutorials/aws/securityhub.md
@@ -85,11 +87,13 @@ nav:
- Boto3 Configuration: tutorials/aws/boto3-configuration.md
- Threat Detection: tutorials/aws/threat-detection.md
- Azure:
+ - Getting Started: tutorials/azure/getting-started-azure.md
- Authentication: tutorials/azure/authentication.md
- Non default clouds: tutorials/azure/use-non-default-cloud.md
- Subscriptions: tutorials/azure/subscriptions.md
- Create Prowler Service Principal: tutorials/azure/create-prowler-service-principal.md
- Google Cloud:
+ - Getting Started: tutorials/gcp/getting-started-gcp.md
- Authentication: tutorials/gcp/authentication.md
- Projects: tutorials/gcp/projects.md
- Organization: tutorials/gcp/organization.md
@@ -98,8 +102,9 @@ nav:
- Non In-Cluster Execution: tutorials/kubernetes/outside-cluster.md
- Miscellaneous: tutorials/kubernetes/misc.md
- Microsoft 365:
+ - Getting Started: tutorials/microsoft365/getting-started-m365.md
- Authentication: tutorials/microsoft365/authentication.md
- - Create Prowler Service Principal: tutorials/microsoft365/create-prowler-service-principal.md
+ - Use of PowerShell: tutorials/microsoft365/use-of-powershell.md
- Developer Guide:
- Introduction: developer-guide/introduction.md
- Provider: developer-guide/provider.md
diff --git a/poetry.lock b/poetry.lock
index 7a4e9e4155..01c3b39bd3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -14,100 +14,105 @@ files = [
[[package]]
name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.6.1"
description = "Happy Eyeballs for asyncio"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
- {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
+ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+ {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
]
[[package]]
name = "aiohttp"
-version = "3.11.11"
+version = "3.11.18"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
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+ {file = "aiohttp-3.11.18-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:46533e6792e1410f9801d09fd40cbbff3f3518d1b501d6c3c5b218f427f6ff08"},
+ {file = "aiohttp-3.11.18-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:c1b90407ced992331dd6d4f1355819ea1c274cc1ee4d5b7046c6761f9ec11829"},
+ {file = "aiohttp-3.11.18-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a2fd04ae4971b914e54fe459dd7edbbd3f2ba875d69e057d5e3c8e8cac094935"},
+ {file = "aiohttp-3.11.18-cp39-cp39-win32.whl", hash = "sha256:b2f317d1678002eee6fe85670039fb34a757972284614638f82b903a03feacdc"},
+ {file = "aiohttp-3.11.18-cp39-cp39-win_amd64.whl", hash = "sha256:5e7007b8d1d09bce37b54111f593d173691c530b80f27c6493b928dabed9e6ef"},
+ {file = "aiohttp-3.11.18.tar.gz", hash = "sha256:ae856e1138612b7e412db63b7708735cff4d38d0399f6a5435d3dac2669f558a"},
]
[package.dependencies]
@@ -168,14 +173,14 @@ files = [
[[package]]
name = "anyio"
-version = "4.8.0"
+version = "4.9.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
- {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
- {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
+ {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
+ {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
]
[package.dependencies]
@@ -185,20 +190,20 @@ sniffio = ">=1.1"
typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
[package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
+doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "astroid"
-version = "3.3.8"
+version = "3.3.9"
description = "An abstract syntax tree for Python with inference support."
optional = false
python-versions = ">=3.9.0"
groups = ["dev"]
files = [
- {file = "astroid-3.3.8-py3-none-any.whl", hash = "sha256:187ccc0c248bfbba564826c26f070494f7bc964fd286b6d9fff4420e55de828c"},
- {file = "astroid-3.3.8.tar.gz", hash = "sha256:a88c7994f914a4ea8572fac479459f4955eeccc877be3f2d959a33273b0cf40b"},
+ {file = "astroid-3.3.9-py3-none-any.whl", hash = "sha256:d05bfd0acba96a7bd43e222828b7d9bc1e138aaeb0649707908d3702a9831248"},
+ {file = "astroid-3.3.9.tar.gz", hash = "sha256:622cc8e3048684aa42c820d9d218978021c3c3d174fb03a9f0d615921744f550"},
]
[package.dependencies]
@@ -219,34 +224,34 @@ files = [
[[package]]
name = "attrs"
-version = "24.3.0"
+version = "25.3.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.8"
groups = ["main", "dev"]
files = [
- {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
- {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
+ {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+ {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
]
[package.extras]
benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
[[package]]
name = "authlib"
-version = "1.4.0"
+version = "1.5.2"
description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
- {file = "Authlib-1.4.0-py2.py3-none-any.whl", hash = "sha256:4bb20b978c8b636222b549317c1815e1fe62234fc1c5efe8855d84aebf3a74e3"},
- {file = "authlib-1.4.0.tar.gz", hash = "sha256:1c1e6608b5ed3624aeeee136ca7f8c120d6f51f731aa152b153d54741840e1f2"},
+ {file = "authlib-1.5.2-py2.py3-none-any.whl", hash = "sha256:8804dd4402ac5e4a0435ac49e0b6e19e395357cfa632a3f624dcb4f6df13b4b1"},
+ {file = "authlib-1.5.2.tar.gz", hash = "sha256:fe85ec7e50c5f86f1e2603518bb3b4f632985eb4a355e52256530790e326c512"},
]
[package.dependencies]
@@ -254,21 +259,21 @@ cryptography = "*"
[[package]]
name = "aws-sam-translator"
-version = "1.94.0"
+version = "1.97.0"
description = "AWS SAM Translator is a library that transform SAM templates into AWS CloudFormation templates"
optional = false
python-versions = "!=4.0,<=4.0,>=3.8"
groups = ["dev"]
files = [
- {file = "aws_sam_translator-1.94.0-py3-none-any.whl", hash = "sha256:100e33eeffcfa81f7c45cadeb0ee29596ce829f6b4d2745140f04fa19a41f539"},
- {file = "aws_sam_translator-1.94.0.tar.gz", hash = "sha256:8ec258d9f7ece72ef91c81f4edb45a2db064c16844b6afac90c575893beaa391"},
+ {file = "aws_sam_translator-1.97.0-py3-none-any.whl", hash = "sha256:305701ab49eb546fd720b3682e99cadcd43539f4ddb8395ea03c90c9e14d3325"},
+ {file = "aws_sam_translator-1.97.0.tar.gz", hash = "sha256:6f7ec94de0a9b220dd1f1a0bf7e2df95dd44a85592301ee830744da2f209b7e6"},
]
[package.dependencies]
boto3 = ">=1.19.5,<2.dev0"
jsonschema = ">=3.2,<5"
pydantic = ">=1.8,<1.10.15 || >1.10.15,<1.10.17 || >1.10.17,<3"
-typing-extensions = ">=4.4"
+typing_extensions = ">=4.4"
[package.extras]
dev = ["black (==24.3.0)", "boto3 (>=1.23,<2)", "boto3-stubs[appconfig,serverlessrepo] (>=1.19.5,<2.dev0)", "coverage (>=5.3,<8)", "dateparser (>=1.1,<2.0)", "mypy (>=1.3.0,<1.4.0)", "parameterized (>=0.7,<1.0)", "pytest (>=6.2,<8)", "pytest-cov (>=2.10,<5)", "pytest-env (>=0.6,<1)", "pytest-rerunfailures (>=9.1,<12)", "pytest-xdist (>=2.5,<4)", "pyyaml (>=6.0,<7.0)", "requests (>=2.28,<3.0)", "ruamel.yaml (==0.17.21)", "ruff (>=0.4.5,<0.5.0)", "tenacity (>=8.0,<9.0)", "types-PyYAML (>=6.0,<7.0)", "types-jsonschema (>=3.2,<4.0)"]
@@ -315,14 +320,14 @@ files = [
[[package]]
name = "azure-core"
-version = "1.32.0"
+version = "1.33.0"
description = "Microsoft Azure Core Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
- {file = "azure_core-1.32.0-py3-none-any.whl", hash = "sha256:eac191a0efb23bfa83fddf321b27b122b4ec847befa3091fa736a5c32c50d7b4"},
- {file = "azure_core-1.32.0.tar.gz", hash = "sha256:22b3c35d6b2dae14990f6c1be2912bf23ffe50b220e708a28ab1bb92b1c730e5"},
+ {file = "azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f"},
+ {file = "azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9"},
]
[package.dependencies]
@@ -332,17 +337,18 @@ typing-extensions = ">=4.6.0"
[package.extras]
aio = ["aiohttp (>=3.0)"]
+tracing = ["opentelemetry-api (>=1.26,<2.0)"]
[[package]]
name = "azure-identity"
-version = "1.19.0"
+version = "1.21.0"
description = "Microsoft Azure Identity Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
- {file = "azure_identity-1.19.0-py3-none-any.whl", hash = "sha256:e3f6558c181692d7509f09de10cca527c7dce426776454fb97df512a46527e81"},
- {file = "azure_identity-1.19.0.tar.gz", hash = "sha256:500144dc18197d7019b81501165d4fa92225f03778f17d7ca8a2a180129a9c83"},
+ {file = "azure_identity-1.21.0-py3-none-any.whl", hash = "sha256:258ea6325537352440f71b35c3dffe9d240eae4a5126c1b7ce5efd5766bd9fd9"},
+ {file = "azure_identity-1.21.0.tar.gz", hash = "sha256:ea22ce6e6b0f429bc1b8d9212d5b9f9877bd4c82f1724bfa910760612c07a9a6"},
]
[package.dependencies]
@@ -372,20 +378,21 @@ typing-extensions = ">=4.0.1"
[[package]]
name = "azure-mgmt-applicationinsights"
-version = "4.0.0"
+version = "4.1.0"
description = "Microsoft Azure Application Insights Management Client Library for Python"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["main"]
files = [
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- {file = "azure_mgmt_applicationinsights-4.0.0-py3-none-any.whl", hash = "sha256:2b1ffd9a0114974455795c73a3a5d17c849e32b961d707d2db393b99254b576f"},
+ {file = "azure_mgmt_applicationinsights-4.1.0-py3-none-any.whl", hash = "sha256:9e71f29b01e505a773501451d12fd6a10482cf4b13e9ac2bff72f5380496d979"},
+ {file = "azure_mgmt_applicationinsights-4.1.0.tar.gz", hash = "sha256:15531390f12ce3d767cd3f1949af36aa39077c145c952fec4d80303c86ec7b6c"},
]
[package.dependencies]
-azure-common = ">=1.1,<2.0"
-azure-mgmt-core = ">=1.3.2,<2.0.0"
-isodate = ">=0.6.1,<1.0.0"
+azure-common = ">=1.1"
+azure-mgmt-core = ">=1.3.2"
+isodate = ">=0.6.1"
+typing-extensions = ">=4.6.0"
[[package]]
name = "azure-mgmt-authorization"
@@ -424,31 +431,32 @@ typing-extensions = ">=4.6.0"
[[package]]
name = "azure-mgmt-containerregistry"
-version = "10.3.0"
+version = "12.0.0"
description = "Microsoft Azure Container Registry Client Library for Python"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
groups = ["main"]
files = [
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- {file = "azure_mgmt_containerregistry-10.3.0-py3-none-any.whl", hash = "sha256:851e1c57f9bc4a3589c6b21fb627c11fd6cbb57a0388b7dfccd530ba3160805f"},
+ {file = "azure_mgmt_containerregistry-12.0.0-py3-none-any.whl", hash = "sha256:464abd4d3d9ecc0456ed8f63a6b9b93afc2e3e194f2d34f26a758afb67ad3b5c"},
+ {file = "azure_mgmt_containerregistry-12.0.0.tar.gz", hash = "sha256:f19f8faa7881deaf2b5015c0eb050a92e2380cd9d18dee33cdb5f27d44a06c03"},
]
[package.dependencies]
-azure-common = ">=1.1,<2.0"
-azure-mgmt-core = ">=1.3.2,<2.0.0"
-isodate = ">=0.6.1,<1.0.0"
+azure-common = ">=1.1"
+azure-mgmt-core = ">=1.3.2"
+isodate = ">=0.6.1"
+typing-extensions = ">=4.6.0"
[[package]]
name = "azure-mgmt-containerservice"
-version = "34.0.0"
+version = "34.1.0"
description = "Microsoft Azure Container Service Management Client Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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- {file = "azure_mgmt_containerservice-34.0.0.tar.gz", hash = "sha256:822d07828b746a5ea5408a8b3770f41dc424d6c4c28de53c29611b62bef8aea3"},
+ {file = "azure_mgmt_containerservice-34.1.0-py3-none-any.whl", hash = "sha256:1faa1714e0100c6ee4cfb8d2eadb1c270b548a84b0070c74e9fe646056a5cb12"},
+ {file = "azure_mgmt_containerservice-34.1.0.tar.gz", hash = "sha256:637a6cf8f06636c016ad151d76f9c7ba75bd05d4334b3dd7837eb8b517f30dbe"},
]
[package.dependencies]
@@ -562,14 +570,14 @@ msrest = ">=0.6.21"
[[package]]
name = "azure-mgmt-resource"
-version = "23.2.0"
+version = "23.3.0"
description = "Microsoft Azure Resource Management Client Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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- {file = "azure_mgmt_resource-23.2.0.tar.gz", hash = "sha256:747b750df7af23ab30e53d3f36247ab0c16de1e267d666b1a5077c39a4292529"},
+ {file = "azure_mgmt_resource-23.3.0-py3-none-any.whl", hash = "sha256:ab216ee28e29db6654b989746e0c85a1181f66653929d2cb6e48fba66d9af323"},
+ {file = "azure_mgmt_resource-23.3.0.tar.gz", hash = "sha256:fc4f1fd8b6aad23f8af4ed1f913df5f5c92df117449dc354fea6802a2829fea4"},
]
[package.dependencies]
@@ -631,20 +639,21 @@ msrest = ">=0.6.21"
[[package]]
name = "azure-mgmt-storage"
-version = "21.2.1"
+version = "22.1.1"
description = "Microsoft Azure Storage Management Client Library for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
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- {file = "azure_mgmt_storage-21.2.1-py3-none-any.whl", hash = "sha256:f97df1fa39cde9dbacf2cd96c9cba1fc196932185e24853e276f74b18a0bd031"},
+ {file = "azure_mgmt_storage-22.1.1-py3-none-any.whl", hash = "sha256:a4a4064918dcfa4f1cbebada5bf064935d66f2a3647a2f46a1f1c9348736f5d9"},
+ {file = "azure_mgmt_storage-22.1.1.tar.gz", hash = "sha256:25aaa5ae8c40c30e2f91f8aae6f52906b0557e947d5c1b9817d4ff9decc11340"},
]
[package.dependencies]
azure-common = ">=1.1"
azure-mgmt-core = ">=1.3.2"
isodate = ">=0.6.1"
+typing-extensions = ">=4.6.0"
[[package]]
name = "azure-mgmt-subscription"
@@ -704,18 +713,18 @@ aio = ["azure-core[aio] (>=1.30.0)"]
[[package]]
name = "babel"
-version = "2.16.0"
+version = "2.17.0"
description = "Internationalization utilities"
optional = false
python-versions = ">=3.8"
groups = ["docs"]
files = [
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- {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
+ {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
+ {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
]
[package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
[[package]]
name = "bandit"
@@ -846,26 +855,26 @@ crt = ["awscrt (==0.22.0)"]
[[package]]
name = "cachetools"
-version = "5.5.0"
+version = "5.5.2"
description = "Extensible memoizing collections and decorators"
optional = false
python-versions = ">=3.7"
groups = ["main"]
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name = "markdown"
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description = "Python implementation of John Gruber's Markdown."
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
groups = ["docs"]
files = [
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testing = ["coverage", "pyyaml"]
[[package]]
@@ -2424,14 +2425,14 @@ files = [
[[package]]
name = "marshmallow"
-version = "3.25.1"
+version = "3.26.1"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
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@@ -2497,100 +2498,100 @@ std-uritemplate = ">=2.0.0"
[[package]]
name = "microsoft-kiota-authentication-azure"
-version = "1.9.1"
+version = "1.9.2"
description = "Core abstractions for kiota generated libraries in Python"
optional = false
python-versions = "<4.0,>=3.9"
groups = ["main"]
files = [
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azure-core = ">=1.21.1"
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opentelemetry-api = ">=1.27.0"
opentelemetry-sdk = ">=1.27.0"
[[package]]
name = "microsoft-kiota-http"
-version = "1.3.4"
-description = "Kiota http request adapter implementation for httpx library"
+version = "1.9.2"
+description = "Core abstractions for kiota generated libraries in Python"
optional = false
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+python-versions = "<4.0,>=3.9"
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name = "microsoft-kiota-serialization-form"
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description = "Core abstractions for kiota generated libraries in Python"
optional = false
python-versions = "<4.0,>=3.9"
groups = ["main"]
files = [
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[[package]]
name = "microsoft-kiota-serialization-json"
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description = "Core abstractions for kiota generated libraries in Python"
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python-versions = "<4.0,>=3.9"
groups = ["main"]
files = [
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description = "Core abstractions for kiota generated libraries in Python"
optional = false
python-versions = "<4.0,>=3.9"
groups = ["main"]
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groups = ["main"]
files = [
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name = "mkdocs"
@@ -2799,18 +2800,18 @@ tests = ["pytest (>=4.6)"]
[[package]]
name = "msal"
-version = "1.31.1"
+version = "1.32.0"
description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
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requests = ">=2.0.0,<3"
@@ -2819,63 +2820,62 @@ broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform
[[package]]
name = "msal-extensions"
-version = "1.2.0"
+version = "1.3.1"
description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
optional = false
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@@ -2904,104 +2904,116 @@ async = ["aiodns ; python_version >= \"3.5\"", "aiohttp (>=3.0) ; python_version
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optional = false
python-versions = ">=3.9"
groups = ["dev"]
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description = "Core utilities for Python packages"
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]
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
-propcache = ">=0.2.0"
+propcache = ">=0.2.1"
[[package]]
name = "zipp"
@@ -5333,4 +5480,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">3.9.1,<3.13"
-content-hash = "29ed097b3f41c777e0b28202291f80e0c7f932eb44b4d2ad3ef7dd8999ff42c6"
+content-hash = "f504af1d00a1da9dd65269509daf32f919c13be6c46f25cd9ef9bfba6b9c9a07"
diff --git a/prowler/CHANGELOG.md b/prowler/CHANGELOG.md
new file mode 100644
index 0000000000..bfe2c91df2
--- /dev/null
+++ b/prowler/CHANGELOG.md
@@ -0,0 +1,126 @@
+# Prowler SDK Changelog
+
+All notable changes to the **Prowler SDK** are documented in this file.
+
+##ย [5.8.0] (Prowler v5.8.0)
+
+### Added
+- Add CIS 1.11 compliance framework for Kubernetes. [(#7790)](https://github.com/prowler-cloud/prowler/pull/7790)
+- Support `HTTPS_PROXY` and `K8S_SKIP_TLS_VERIFY` in Kubernetes. [(#7720)](https://github.com/prowler-cloud/prowler/pull/7720)
+- Add new check `entra_users_mfa_capable`. [(#7734)](https://github.com/prowler-cloud/prowler/pull/7734)
+- Add new check `admincenter_organization_customer_lockbox_enabled`. [(#7732)](https://github.com/prowler-cloud/prowler/pull/7732)
+- Add new check `admincenter_external_calendar_sharing_disabled`. [(#7733)](https://github.com/prowler-cloud/prowler/pull/7733)
+
+### Fixed
+- Fix `m365_powershell test_credentials` to use sanitized credentials. [(#7761)](https://github.com/prowler-cloud/prowler/pull/7761)
+
+---
+
+## [v5.7.0] (Prowler v5.7.0)
+
+### Added
+- Update the compliance list supported for each provider from docs. [(#7694)](https://github.com/prowler-cloud/prowler/pull/7694)
+- Allow setting cluster name in in-cluster mode in Kubernetes. [(#7695)](https://github.com/prowler-cloud/prowler/pull/7695)
+- Add Prowler ThreatScore for M365 provider. [(#7692)](https://github.com/prowler-cloud/prowler/pull/7692)
+- Add GitHub provider. [(#5787)](https://github.com/prowler-cloud/prowler/pull/5787)
+- Add `repository_default_branch_requires_multiple_approvals` check for GitHub provider. [(#6160)](https://github.com/prowler-cloud/prowler/pull/6160)
+- Add `repository_default_branch_protection_enabled` check for GitHub provider. [(#6161)](https://github.com/prowler-cloud/prowler/pull/6161)
+- Add `repository_default_branch_requires_linear_history` check for GitHub provider. [(#6162)](https://github.com/prowler-cloud/prowler/pull/6162)
+- Add `repository_default_branch_disallows_force_push` check for GitHub provider. [(#6197)](https://github.com/prowler-cloud/prowler/pull/6197)
+- Add `repository_default_branch_deletion_disabled` check for GitHub provider. [(#6200)](https://github.com/prowler-cloud/prowler/pull/6200)
+- Add `repository_default_branch_status_checks_required` check for GitHub provider. [(#6204)](https://github.com/prowler-cloud/prowler/pull/6204)
+- Add `repository_default_branch_protection_applies_to_admins` check for GitHub provider. [(#6205)](https://github.com/prowler-cloud/prowler/pull/6205)
+- Add `repository_branch_delete_on_merge_enabled` check for GitHub provider. [(#6209)](https://github.com/prowler-cloud/prowler/pull/6209)
+- Add `repository_default_branch_requires_conversation_resolution` check for GitHub provider. [(#6208)](https://github.com/prowler-cloud/prowler/pull/6208)
+- Add `organization_members_mfa_required` check for GitHub provider. [(#6304)](https://github.com/prowler-cloud/prowler/pull/6304)
+- Add GitHub provider documentation and CIS v1.0.0 compliance. [(#6116)](https://github.com/prowler-cloud/prowler/pull/6116)
+- Add CIS 5.0 compliance framework for AWS. [(7766)](https://github.com/prowler-cloud/prowler/pull/7766)
+
+### Fixed
+- Update CIS 4.0 for M365 provider. [(#7699)](https://github.com/prowler-cloud/prowler/pull/7699)
+- Update and upgrade CIS for all the providers [(#7738)](https://github.com/prowler-cloud/prowler/pull/7738)
+- Cover policies with conditions with SNS endpoint in `sns_topics_not_publicly_accessible`. [(#7750)](https://github.com/prowler-cloud/prowler/pull/7750)
+- Change severity logic for `ec2_securitygroup_allow_ingress_from_internet_to_all_ports` check. [(#7764)](https://github.com/prowler-cloud/prowler/pull/7764)
+
+---
+
+## [v5.6.0] (Prowler v5.6.0)
+
+### Added
+
+- Add SOC2 compliance framework to Azure. [(#7489)](https://github.com/prowler-cloud/prowler/pull/7489)
+- Add check for unused Service Accounts in GCP. [(#7419)](https://github.com/prowler-cloud/prowler/pull/7419)
+- Add Powershell to Microsoft365. [(#7331)](https://github.com/prowler-cloud/prowler/pull/7331)
+- Add service Defender to Microsoft365 with one check for Common Attachments filter enabled in Malware Policies. [(#7425)](https://github.com/prowler-cloud/prowler/pull/7425)
+- Add check for Outbound Antispam Policy well configured in service Defender for M365. [(#7480)](https://github.com/prowler-cloud/prowler/pull/7480)
+- Add check for Antiphishing Policy well configured in service Defender in M365. [(#7453)](https://github.com/prowler-cloud/prowler/pull/7453)
+- Add check for Notifications for Internal users enabled in Malware Policies from service Defender in M365. [(#7435)](https://github.com/prowler-cloud/prowler/pull/7435)
+- Add support CLOUDSDK_AUTH_ACCESS_TOKEN in GCP. [(#7495)](https://github.com/prowler-cloud/prowler/pull/7495)
+- Add service Exchange to Microsoft365 with one check for Organizations Mailbox Auditing enabled. [(#7408)](https://github.com/prowler-cloud/prowler/pull/7408)
+- Add check for Bypass Disable in every Mailbox for service Defender in M365. [(#7418)](https://github.com/prowler-cloud/prowler/pull/7418)
+- Add new check `teams_external_domains_restricted`. [(#7557)](https://github.com/prowler-cloud/prowler/pull/7557)
+- Add new check `teams_email_sending_to_channel_disabled`. [(#7533)](https://github.com/prowler-cloud/prowler/pull/7533)
+- Add new check for External Mails Tagged for service Exchange in M365. [(#7580)](https://github.com/prowler-cloud/prowler/pull/7580)
+- Add new check for WhiteList not used in Transport Rules for service Defender in M365. [(#7569)](https://github.com/prowler-cloud/prowler/pull/7569)
+- Add check for Inbound Antispam Policy with no allowed domains from service Defender in M365. [(#7500)](https://github.com/prowler-cloud/prowler/pull/7500)
+- Add new check `teams_meeting_anonymous_user_join_disabled`. [(#7565)](https://github.com/prowler-cloud/prowler/pull/7565)
+- Add new check `teams_unmanaged_communication_disabled`. [(#7561)](https://github.com/prowler-cloud/prowler/pull/7561)
+- Add new check `teams_external_users_cannot_start_conversations`. [(#7562)](https://github.com/prowler-cloud/prowler/pull/7562)
+- Add new check for AllowList not used in the Connection Filter Policy from service Defender in M365. [(#7492)](https://github.com/prowler-cloud/prowler/pull/7492)
+- Add new check for SafeList not enabled in the Connection Filter Policy from service Defender in M365. [(#7492)](https://github.com/prowler-cloud/prowler/pull/7492)
+- Add new check for DKIM enabled for service Defender in M365. [(#7485)](https://github.com/prowler-cloud/prowler/pull/7485)
+- Add new check `teams_meeting_anonymous_user_start_disabled`. [(#7567)](https://github.com/prowler-cloud/prowler/pull/7567)
+- Add new check `teams_meeting_external_lobby_bypass_disabled`. [(#7568)](https://github.com/prowler-cloud/prowler/pull/7568)
+- Add new check `teams_meeting_dial_in_lobby_bypass_disabled`. [(#7571)](https://github.com/prowler-cloud/prowler/pull/7571)
+- Add new check `teams_meeting_external_control_disabled`. [(#7604)](https://github.com/prowler-cloud/prowler/pull/7604)
+- Add new check `teams_meeting_external_chat_disabled`. [(#7605)](https://github.com/prowler-cloud/prowler/pull/7605)
+- Add new check `teams_meeting_recording_disabled`. [(#7607)](https://github.com/prowler-cloud/prowler/pull/7607)
+- Add new check `teams_meeting_presenters_restricted`. [(#7613)](https://github.com/prowler-cloud/prowler/pull/7613)
+- Add new check `teams_security_reporting_enabled`. [(#7614)](https://github.com/prowler-cloud/prowler/pull/7614)
+- Add new check `defender_chat_report_policy_configured`. [(#7614)](https://github.com/prowler-cloud/prowler/pull/7614)
+- Add new check `teams_meeting_chat_anonymous_users_disabled`. [(#7579)](https://github.com/prowler-cloud/prowler/pull/7579)
+- Add Prowler Threat Score Compliance Framework. [(#7603)](https://github.com/prowler-cloud/prowler/pull/7603)
+- Add documentation for M365 provider. [(#7622)](https://github.com/prowler-cloud/prowler/pull/7622)
+- Add support for m365 provider in Prowler Dashboard. [(#7633)](https://github.com/prowler-cloud/prowler/pull/7633)
+- Add new check for Modern Authentication enabled for Exchange Online in M365. [(#7636)](https://github.com/prowler-cloud/prowler/pull/7636)
+- Add new check `sharepoint_onedrive_sync_restricted_unmanaged_devices`. [(#7589)](https://github.com/prowler-cloud/prowler/pull/7589)
+- Add new check for Additional Storage restricted for Exchange in M365. [(#7638)](https://github.com/prowler-cloud/prowler/pull/7638)
+- Add new check for Roles Assignment Policy with no AddIns for Exchange in M365. [(#7644)](https://github.com/prowler-cloud/prowler/pull/7644)
+- Add new check for Auditing Mailbox on E3 users is enabled for Exchange in M365. [(#7642)](https://github.com/prowler-cloud/prowler/pull/7642)
+- Add new check for SMTP Auth disabled for Exchange in M365. [(#7640)](https://github.com/prowler-cloud/prowler/pull/7640)
+- Add new check for MailTips full enabled for Exchange in M365. [(#7637)](https://github.com/prowler-cloud/prowler/pull/7637)
+- Add new check for Comprehensive Attachments Filter Applied for Defender in M365. [(#7661)](https://github.com/prowler-cloud/prowler/pull/7661)
+- Modified check `exchange_mailbox_properties_auditing_enabled` to make it configurable. [(#7662)](https://github.com/prowler-cloud/prowler/pull/7662)
+- Add snapshots to m365 documentation. [(#7673)](https://github.com/prowler-cloud/prowler/pull/7673)
+- Add support for static credentials for sending findings to Amazon S3 and AWS Security Hub. [(#7322)](https://github.com/prowler-cloud/prowler/pull/7322)
+- Add Prowler ThreatScore for M365 provider. [(#7692)](https://github.com/prowler-cloud/prowler/pull/7692)
+- Add Microsoft User and User Credential auth to reports [(#7681)](https://github.com/prowler-cloud/prowler/pull/7681)
+
+### Fixed
+
+- Fix package name location in pyproject.toml while replicating for prowler-cloud. [(#7531)](https://github.com/prowler-cloud/prowler/pull/7531)
+- Remove cache in PyPI release action. [(#7532)](https://github.com/prowler-cloud/prowler/pull/7532)
+- Add the correct values for logger.info inside iam service. [(#7526)](https://github.com/prowler-cloud/prowler/pull/7526)
+- Update S3 bucket naming validation to accept dots. [(#7545)](https://github.com/prowler-cloud/prowler/pull/7545)
+- Handle new FlowLog model properties in Azure. [(#7546)](https://github.com/prowler-cloud/prowler/pull/7546)
+- Improve compliance and dashboard. [(#7596)](https://github.com/prowler-cloud/prowler/pull/7596)
+- Remove invalid parameter `create_file_descriptor`. [(#7600)](https://github.com/prowler-cloud/prowler/pull/7600)
+- Remove first empty line in HTML output. [(#7606)](https://github.com/prowler-cloud/prowler/pull/7606)
+- Remove empty files in Prowler. [(#7627)](https://github.com/prowler-cloud/prowler/pull/7627)
+- Ensure that ContentType in upload_file matches the uploaded file's format. [(#7635)](https://github.com/prowler-cloud/prowler/pull/7635)
+- Fix incorrect check inside 4.4.1 requirement for Azure CIS 2.0. [(#7656)](https://github.com/prowler-cloud/prowler/pull/7656)
+- Remove muted findings on compliance page from Prowler Dashboard. [(#7683)](https://github.com/prowler-cloud/prowler/pull/7683)
+- Remove duplicated findings on compliance page from Prowler Dashboard. [(#7686)](https://github.com/prowler-cloud/prowler/pull/7686)
+- Fix incorrect values for Prowler Threatscore compliance LevelOfRisk inside requirements. [(#7667)](https://github.com/prowler-cloud/prowler/pull/7667)
+
+---
+
+## [v5.5.1] (Prowler v5.5.1)
+
+### Fixed
+
+- Add default name to contacts in Azure Defender. [(#7483)](https://github.com/prowler-cloud/prowler/pull/7483)
+- Handle projects without ID in GCP. [(#7496)](https://github.com/prowler-cloud/prowler/pull/7496)
+- Restore packages location in PyProject. [(#7510)](https://github.com/prowler-cloud/prowler/pull/7510)
+
+---
diff --git a/prowler/__main__.py b/prowler/__main__.py
index d27b7da8e9..e22d7b7fa6 100644
--- a/prowler/__main__.py
+++ b/prowler/__main__.py
@@ -50,8 +50,9 @@ from prowler.lib.outputs.compliance.aws_well_architected.aws_well_architected im
from prowler.lib.outputs.compliance.cis.cis_aws import AWSCIS
from prowler.lib.outputs.compliance.cis.cis_azure import AzureCIS
from prowler.lib.outputs.compliance.cis.cis_gcp import GCPCIS
+from prowler.lib.outputs.compliance.cis.cis_github import GithubCIS
from prowler.lib.outputs.compliance.cis.cis_kubernetes import KubernetesCIS
-from prowler.lib.outputs.compliance.cis.cis_microsoft365 import Microsoft365CIS
+from prowler.lib.outputs.compliance.cis.cis_m365 import M365CIS
from prowler.lib.outputs.compliance.compliance import display_compliance_table
from prowler.lib.outputs.compliance.ens.ens_aws import AWSENS
from prowler.lib.outputs.compliance.ens.ens_azure import AzureENS
@@ -63,12 +64,25 @@ from prowler.lib.outputs.compliance.iso27001.iso27001_gcp import GCPISO27001
from prowler.lib.outputs.compliance.iso27001.iso27001_kubernetes import (
KubernetesISO27001,
)
+from prowler.lib.outputs.compliance.iso27001.iso27001_nhn import NHNISO27001
from prowler.lib.outputs.compliance.kisa_ismsp.kisa_ismsp_aws import AWSKISAISMSP
from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_aws import AWSMitreAttack
from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_azure import (
AzureMitreAttack,
)
from prowler.lib.outputs.compliance.mitre_attack.mitre_attack_gcp import GCPMitreAttack
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_aws import (
+ ProwlerThreatScoreAWS,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_azure import (
+ ProwlerThreatScoreAzure,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_gcp import (
+ ProwlerThreatScoreGCP,
+)
+from prowler.lib.outputs.compliance.prowler_threatscore.prowler_threatscore_m365 import (
+ ProwlerThreatScoreM365,
+)
from prowler.lib.outputs.csv.csv import CSV
from prowler.lib.outputs.finding import Finding
from prowler.lib.outputs.html.html import HTML
@@ -83,8 +97,10 @@ from prowler.providers.azure.models import AzureOutputOptions
from prowler.providers.common.provider import Provider
from prowler.providers.common.quick_inventory import run_provider_quick_inventory
from prowler.providers.gcp.models import GCPOutputOptions
+from prowler.providers.github.models import GithubOutputOptions
from prowler.providers.kubernetes.models import KubernetesOutputOptions
-from prowler.providers.microsoft365.models import Microsoft365OutputOptions
+from prowler.providers.m365.models import M365OutputOptions
+from prowler.providers.nhn.models import NHNOutputOptions
def prowler():
@@ -266,8 +282,16 @@ def prowler():
output_options = KubernetesOutputOptions(
args, bulk_checks_metadata, global_provider.identity
)
- elif provider == "microsoft365":
- output_options = Microsoft365OutputOptions(
+ elif provider == "github":
+ output_options = GithubOutputOptions(
+ args, bulk_checks_metadata, global_provider.identity
+ )
+ elif provider == "m365":
+ output_options = M365OutputOptions(
+ args, bulk_checks_metadata, global_provider.identity
+ )
+ elif provider == "nhn":
+ output_options = NHNOutputOptions(
args, bulk_checks_metadata, global_provider.identity
)
@@ -472,6 +496,18 @@ def prowler():
)
generated_outputs["compliance"].append(kisa_ismsp)
kisa_ismsp.batch_write_data_to_file()
+ elif compliance_name == "prowler_threatscore_aws":
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ prowler_threatscore = ProwlerThreatScoreAWS(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(prowler_threatscore)
+ prowler_threatscore.batch_write_data_to_file()
else:
filename = (
f"{output_options.output_directory}/compliance/"
@@ -539,6 +575,18 @@ def prowler():
)
generated_outputs["compliance"].append(iso27001)
iso27001.batch_write_data_to_file()
+ elif compliance_name == "prowler_threatscore_azure":
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ prowler_threatscore = ProwlerThreatScoreAzure(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(prowler_threatscore)
+ prowler_threatscore.batch_write_data_to_file()
else:
filename = (
f"{output_options.output_directory}/compliance/"
@@ -606,6 +654,18 @@ def prowler():
)
generated_outputs["compliance"].append(iso27001)
iso27001.batch_write_data_to_file()
+ elif compliance_name == "prowler_threatscore_gcp":
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ prowler_threatscore = ProwlerThreatScoreGCP(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(prowler_threatscore)
+ prowler_threatscore.batch_write_data_to_file()
else:
filename = (
f"{output_options.output_directory}/compliance/"
@@ -660,7 +720,7 @@ def prowler():
generated_outputs["compliance"].append(generic_compliance)
generic_compliance.batch_write_data_to_file()
- elif provider == "microsoft365":
+ elif provider == "m365":
for compliance_name in input_compliance_frameworks:
if compliance_name.startswith("cis_"):
# Generate CIS Finding Object
@@ -668,7 +728,75 @@ def prowler():
f"{output_options.output_directory}/compliance/"
f"{output_options.output_filename}_{compliance_name}.csv"
)
- cis = Microsoft365CIS(
+ cis = M365CIS(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(cis)
+ cis.batch_write_data_to_file()
+ elif compliance_name == "prowler_threatscore_m365":
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ prowler_threatscore = ProwlerThreatScoreM365(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(prowler_threatscore)
+ prowler_threatscore.batch_write_data_to_file()
+ else:
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ generic_compliance = GenericCompliance(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(generic_compliance)
+ generic_compliance.batch_write_data_to_file()
+
+ elif provider == "nhn":
+ for compliance_name in input_compliance_frameworks:
+ if compliance_name.startswith("iso27001_"):
+ # Generate ISO27001 Finding Object
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ iso27001 = NHNISO27001(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(iso27001)
+ iso27001.batch_write_data_to_file()
+ else:
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ generic_compliance = GenericCompliance(
+ findings=finding_outputs,
+ compliance=bulk_compliance_frameworks[compliance_name],
+ file_path=filename,
+ )
+ generated_outputs["compliance"].append(generic_compliance)
+ generic_compliance.batch_write_data_to_file()
+
+ elif provider == "github":
+ for compliance_name in input_compliance_frameworks:
+ if compliance_name.startswith("cis_"):
+ # Generate CIS Finding Object
+ filename = (
+ f"{output_options.output_directory}/compliance/"
+ f"{output_options.output_filename}_{compliance_name}.csv"
+ )
+ cis = GithubCIS(
findings=finding_outputs,
compliance=bulk_compliance_frameworks[compliance_name],
file_path=filename,
@@ -683,6 +811,7 @@ def prowler():
generic_compliance = GenericCompliance(
findings=finding_outputs,
compliance=bulk_compliance_frameworks[compliance_name],
+ create_file_descriptor=True,
file_path=filename,
)
generated_outputs["compliance"].append(generic_compliance)
diff --git a/prowler/compliance/aws/cis_1.4_aws.json b/prowler/compliance/aws/cis_1.4_aws.json
index 584ca284c6..0e6d1f136c 100644
--- a/prowler/compliance/aws/cis_1.4_aws.json
+++ b/prowler/compliance/aws/cis_1.4_aws.json
@@ -12,7 +12,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization. An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of Acceptable Use Policy or indicative of likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
@@ -33,7 +33,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
@@ -54,7 +54,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When cerating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
@@ -76,7 +76,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused in 45 or greater days be deactivated or removed.",
@@ -97,7 +97,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
@@ -118,7 +118,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be regularly rotated.",
@@ -139,7 +139,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM users are granted access to services, functions, and data through IAM policies. There are three ways to define policies for a user: 1) Edit the user policy directly, aka an inline, or user, policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy. Only the third implementation is recommended.",
@@ -161,7 +161,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered a standard security advice to grant _least privilege_ -that is, granting only the permissions required to perform a task. Determine what users need to do and then craft policies for them that let the users perform _only_ those tasks, instead of allowing full administrative privileges.",
@@ -182,7 +182,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role to allow authorized users to manage incidents with AWS Support.",
@@ -203,7 +203,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. \"AWS Access\" means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
@@ -224,7 +224,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use ACM or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
@@ -245,7 +245,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
@@ -266,7 +266,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Enable IAM Access analyzer for IAM policies about all resources in each region. IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. So the results allow you to determine if an unintended user is allowed, making it easier for administrators to monitor least privileges access. Access Analyzer analyzes only policies that are applied to resources in the same AWS Region.",
@@ -287,7 +287,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
@@ -308,7 +308,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "The AWS support portal allows account owners to establish security questions that can be used to authenticate individuals calling AWS customer service for support. It is recommended that security questions be established.",
@@ -329,7 +329,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be removed.",
@@ -350,7 +350,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device. **Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is managed to be kept charged and secured independent of any individual personal devices. (\"non-personal virtual MFA\") This lessens the risks of losing access to the MFA due to device loss, device trade-in or if the individual owning the device is no longer employed at the company.",
@@ -371,7 +371,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA.",
@@ -392,7 +392,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
@@ -413,7 +413,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure password are at least a given length. It is recommended that the password policy require a minimum password length 14.",
@@ -434,7 +434,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
@@ -455,8 +455,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides a variety of no, or low, cost encryption options to protect data at rest.",
@@ -477,8 +477,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "At the Amazon S3 bucket level, you can configure permissions through a bucket policy making the objects accessible only through HTTPS.",
@@ -499,8 +499,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Once MFA Delete is enabled on your sensitive and classified S3 bucket it requires the user to have two forms of authentication.",
@@ -521,8 +521,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Amazon S3 buckets can contain sensitive data, that for security purposes should be discovered, monitored, classified and protected. Macie along with other 3rd party tools can automatically provide an inventory of Amazon S3 buckets.",
@@ -544,8 +544,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides `Block public access (bucket settings)` and `Block public access (account settings)` to help you manage public access to Amazon S3 resources. By default, S3 buckets and objects are created with public access disabled. However, an IAM principal with sufficient S3 permissions can enable public access at the bucket and/or object level. While enabled, `Block public access (bucket settings)` prevents an individual bucket, and its contained objects, from becoming publicly accessible. Similarly, `Block public access (account settings)` prevents all buckets, and contained objects, from becoming publicly accessible across the entire account.",
@@ -566,7 +566,7 @@
],
"Attributes": [
{
- "Section": "2. Storage",
+ "Section": "2 Storage",
"SubSection": "2.2. Elastic Compute Cloud (EC2)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
@@ -589,8 +589,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon RDS encrypted DB instances use the industry standard AES-256 encryption algorithm to encrypt your data on the server that hosts your Amazon RDS DB instances. After your data is encrypted, Amazon RDS handles authentication of access and decryption of your data transparently with a minimal impact on performance.",
@@ -611,7 +611,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
@@ -632,7 +632,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -653,7 +653,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -674,7 +674,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled on all CloudTrails.",
@@ -695,7 +695,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "CloudTrail logs a record of every API call made in your AWS account. These logs file are stored in an S3 bucket. It is recommended that the bucket policy or access control list (ACL) applied to the S3 bucket that CloudTrail logs to prevent public access to the CloudTrail logs.",
@@ -716,7 +716,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls made in a given AWS account. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably. In addition to capturing CloudTrail logs within a specified S3 bucket for long term analysis, realtime analysis can be performed by configuring CloudTrail to send logs to CloudWatch Logs. For a trail that is enabled in all regions in an account, CloudTrail sends log files from all those regions to a CloudWatch Logs log group. It is recommended that CloudTrail logs be sent to CloudWatch Logs. Note: The intent of this recommendation is to ensure AWS account activity is being captured, monitored, and appropriately alarmed on. CloudWatch Logs is a native way to accomplish this using AWS services but does not preclude the use of an alternate solution.",
@@ -737,7 +737,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration item (AWS resource), relationships between configuration items (AWS resources), any configuration changes between resources. It is recommended AWS Config be enabled in all regions.",
@@ -758,7 +758,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "S3 Bucket Access Logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that bucket access logging be enabled on the CloudTrail S3 bucket.",
@@ -779,7 +779,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
@@ -800,7 +800,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key which is key material stored within the KMS which is tied to the key ID of the Customer Created customer master key (CMK). It is the backing key that is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can take place transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation can not be enabled for any asymmetric CMK.",
@@ -821,7 +821,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet \"Rejects\" for VPCs.",
@@ -842,7 +842,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
@@ -863,7 +863,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Security Groups are a stateful packet filter that controls ingress and egress traffic within a VPC. It is recommended that a metric filter and alarm be established for detecting changes to Security Groups.",
@@ -884,7 +884,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. NACLs are used as a stateless packet filter to control ingress and egress traffic for subnets within a VPC. It is recommended that a metric filter and alarm be established for changes made to NACLs.",
@@ -905,7 +905,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Network gateways are required to send/receive traffic to a destination outside of a VPC. It is recommended that a metric filter and alarm be established for changes to network gateways.",
@@ -926,7 +926,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Routing tables are used to route network traffic between subnets and to network gateways. It is recommended that a metric filter and alarm be established for changes to route tables.",
@@ -947,7 +947,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is possible to have more than 1 VPC within an account, in addition it is also possible to create a peer connection between 2 VPCs enabling network traffic to route between VPCs. It is recommended that a metric filter and alarm be established for changes made to VPCs.",
@@ -968,7 +968,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for AWS Organizations changes made in the master AWS Account.",
@@ -989,7 +989,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for console logins that are not protected by multi-factor authentication (MFA).",
@@ -1010,7 +1010,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for 'root' login attempts.",
@@ -1031,7 +1031,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established changes made to Identity and Access Management (IAM) policies.",
@@ -1052,7 +1052,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1073,7 +1073,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for failed console authentication attempts.",
@@ -1094,7 +1094,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for customer created CMKs which have changed state to disabled or scheduled deletion.",
@@ -1115,7 +1115,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes to S3 bucket policies.",
@@ -1136,7 +1136,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1159,7 +1159,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The Network Access Control List (NACL) function provide stateless filtering of ingress and egress network traffic to AWS resources. It is recommended that no NACL allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1182,7 +1182,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1203,7 +1203,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "A VPC comes with a default security group whose initial settings deny all inbound traffic, allow all outbound traffic, and allow all traffic between instances assigned to the security group. If you don't specify a security group when you launch an instance, the instance is automatically assigned to this default security group. Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that the default security group restrict all traffic. The default VPC in every region should have its default security group updated to comply. Any newly created VPCs will automatically contain a default security group that will need remediation to comply with this recommendation. **NOTE:** When implementing this recommendation, VPC flow logging is invaluable in determining the least privilege port access required by systems to work properly because it can log all packet acceptances and rejections occurring under the current security groups. This dramatically reduces the primary barrier to least privilege engineering - discovering the minimum ports required by systems in the environment. Even if the VPC flow logging recommendation in this benchmark is not adopted as a permanent security measure, it should be used during any period of discovery and engineering for least privileged security groups.",
@@ -1224,7 +1224,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Once a VPC peering connection is established, routing tables must be updated to establish any connections between the peered VPCs. These routes can be as specific as desired - even peering a VPC to only a single host on the other side of the connection.",
diff --git a/prowler/compliance/aws/cis_1.5_aws.json b/prowler/compliance/aws/cis_1.5_aws.json
index 90ca3742e4..8c3d9a25a1 100644
--- a/prowler/compliance/aws/cis_1.5_aws.json
+++ b/prowler/compliance/aws/cis_1.5_aws.json
@@ -12,7 +12,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization. An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of Acceptable Use Policy or indicative of likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
@@ -33,7 +33,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
@@ -54,7 +54,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When cerating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
@@ -76,7 +76,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused in 45 or greater days be deactivated or removed.",
@@ -97,7 +97,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
@@ -118,7 +118,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be regularly rotated.",
@@ -139,7 +139,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM users are granted access to services, functions, and data through IAM policies. There are three ways to define policies for a user: 1) Edit the user policy directly, aka an inline, or user, policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy. Only the third implementation is recommended.",
@@ -161,7 +161,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered a standard security advice to grant _least privilege_ -that is, granting only the permissions required to perform a task. Determine what users need to do and then craft policies for them that let the users perform _only_ those tasks, instead of allowing full administrative privileges.",
@@ -182,7 +182,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role to allow authorized users to manage incidents with AWS Support.",
@@ -203,7 +203,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. \"AWS Access\" means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
@@ -224,7 +224,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use ACM or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
@@ -245,7 +245,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
@@ -266,7 +266,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Enable IAM Access analyzer for IAM policies about all resources in each region. IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. So the results allow you to determine if an unintended user is allowed, making it easier for administrators to monitor least privileges access. Access Analyzer analyzes only policies that are applied to resources in the same AWS Region.",
@@ -287,7 +287,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
@@ -308,7 +308,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "The AWS support portal allows account owners to establish security questions that can be used to authenticate individuals calling AWS customer service for support. It is recommended that security questions be established.",
@@ -329,7 +329,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be removed.",
@@ -350,7 +350,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device. **Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is managed to be kept charged and secured independent of any individual personal devices. (\"non-personal virtual MFA\") This lessens the risks of losing access to the MFA due to device loss, device trade-in or if the individual owning the device is no longer employed at the company.",
@@ -371,7 +371,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA.",
@@ -392,7 +392,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
@@ -413,7 +413,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure password are at least a given length. It is recommended that the password policy require a minimum password length 14.",
@@ -434,7 +434,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
@@ -455,8 +455,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides a variety of no, or low, cost encryption options to protect data at rest.",
@@ -477,8 +477,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "At the Amazon S3 bucket level, you can configure permissions through a bucket policy making the objects accessible only through HTTPS.",
@@ -499,8 +499,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Once MFA Delete is enabled on your sensitive and classified S3 bucket it requires the user to have two forms of authentication.",
@@ -521,8 +521,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Amazon S3 buckets can contain sensitive data, that for security purposes should be discovered, monitored, classified and protected. Macie along with other 3rd party tools can automatically provide an inventory of Amazon S3 buckets.",
@@ -544,8 +544,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides `Block public access (bucket settings)` and `Block public access (account settings)` to help you manage public access to Amazon S3 resources. By default, S3 buckets and objects are created with public access disabled. However, an IAM principal with sufficient S3 permissions can enable public access at the bucket and/or object level. While enabled, `Block public access (bucket settings)` prevents an individual bucket, and its contained objects, from becoming publicly accessible. Similarly, `Block public access (account settings)` prevents all buckets, and contained objects, from becoming publicly accessible across the entire account.",
@@ -566,8 +566,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.2. Elastic Compute Cloud (EC2)",
+ "Section": "2 Storage",
+ "SubSection": "2.2 Elastic Compute Cloud (EC2)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Elastic Compute Cloud (EC2) supports encryption at rest when using the Elastic Block Store (EBS) service. While disabled by default, forcing encryption at EBS volume creation is supported.",
@@ -589,8 +589,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon RDS encrypted DB instances use the industry standard AES-256 encryption algorithm to encrypt your data on the server that hosts your Amazon RDS DB instances. After your data is encrypted, Amazon RDS handles authentication of access and decryption of your data transparently with a minimal impact on performance.",
@@ -611,8 +611,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure that RDS database instances have the Auto Minor Version Upgrade flag enabled in order to receive automatically minor engine upgrades during the specified maintenance window. So, RDS instances can get the new features, bug fixes, and security patches for their database engines.",
@@ -633,8 +633,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure and verify that RDS database instances provisioned in your AWS account do restrict unauthorized access in order to minimize security risks. To restrict access to any publicly accessible RDS database instance, you must disable the database Publicly Accessible flag and update the VPC security group associated with the instance.",
@@ -655,7 +655,7 @@
],
"Attributes": [
{
- "Section": "2. Storage",
+ "Section": "2 Storage",
"SubSection": "2.4 Elastic File System (EFS)",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
@@ -677,7 +677,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
@@ -698,7 +698,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -719,7 +719,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -740,7 +740,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled on all CloudTrails.",
@@ -761,7 +761,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "CloudTrail logs a record of every API call made in your AWS account. These logs file are stored in an S3 bucket. It is recommended that the bucket policy or access control list (ACL) applied to the S3 bucket that CloudTrail logs to prevent public access to the CloudTrail logs.",
@@ -782,7 +782,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls made in a given AWS account. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably. In addition to capturing CloudTrail logs within a specified S3 bucket for long term analysis, realtime analysis can be performed by configuring CloudTrail to send logs to CloudWatch Logs. For a trail that is enabled in all regions in an account, CloudTrail sends log files from all those regions to a CloudWatch Logs log group. It is recommended that CloudTrail logs be sent to CloudWatch Logs. Note: The intent of this recommendation is to ensure AWS account activity is being captured, monitored, and appropriately alarmed on. CloudWatch Logs is a native way to accomplish this using AWS services but does not preclude the use of an alternate solution.",
@@ -803,7 +803,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration item (AWS resource), relationships between configuration items (AWS resources), any configuration changes between resources. It is recommended AWS Config be enabled in all regions.",
@@ -824,7 +824,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "S3 Bucket Access Logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that bucket access logging be enabled on the CloudTrail S3 bucket.",
@@ -845,7 +845,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
@@ -866,7 +866,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key which is key material stored within the KMS which is tied to the key ID of the Customer Created customer master key (CMK). It is the backing key that is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can take place transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation can not be enabled for any asymmetric CMK.",
@@ -887,7 +887,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet \"Rejects\" for VPCs.",
@@ -908,7 +908,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
@@ -929,7 +929,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Security Groups are a stateful packet filter that controls ingress and egress traffic within a VPC. It is recommended that a metric filter and alarm be established for detecting changes to Security Groups.",
@@ -950,7 +950,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. NACLs are used as a stateless packet filter to control ingress and egress traffic for subnets within a VPC. It is recommended that a metric filter and alarm be established for changes made to NACLs.",
@@ -971,7 +971,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Network gateways are required to send/receive traffic to a destination outside of a VPC. It is recommended that a metric filter and alarm be established for changes to network gateways.",
@@ -992,7 +992,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Routing tables are used to route network traffic between subnets and to network gateways. It is recommended that a metric filter and alarm be established for changes to route tables.",
@@ -1013,7 +1013,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is possible to have more than 1 VPC within an account, in addition it is also possible to create a peer connection between 2 VPCs enabling network traffic to route between VPCs. It is recommended that a metric filter and alarm be established for changes made to VPCs.",
@@ -1034,7 +1034,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for AWS Organizations changes made in the master AWS Account.",
@@ -1055,7 +1055,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Security Hub collects security data from across AWS accounts, services, and supported third-party partner products and helps you analyze your security trends and identify the highest priority security issues. When you enable Security Hub, it begins to consume, aggregate, organize, and prioritize findings from AWS services that you have enabled, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie. You can also enable integrations with AWS partner security products.",
@@ -1076,7 +1076,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for console logins that are not protected by multi-factor authentication (MFA).",
@@ -1097,7 +1097,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for 'root' login attempts.",
@@ -1118,7 +1118,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established changes made to Identity and Access Management (IAM) policies.",
@@ -1139,7 +1139,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1160,7 +1160,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for failed console authentication attempts.",
@@ -1181,7 +1181,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for customer created CMKs which have changed state to disabled or scheduled deletion.",
@@ -1202,7 +1202,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes to S3 bucket policies.",
@@ -1223,7 +1223,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1246,7 +1246,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The Network Access Control List (NACL) function provide stateless filtering of ingress and egress network traffic to AWS resources. It is recommended that no NACL allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1269,7 +1269,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1292,7 +1292,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1313,7 +1313,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "A VPC comes with a default security group whose initial settings deny all inbound traffic, allow all outbound traffic, and allow all traffic between instances assigned to the security group. If you don't specify a security group when you launch an instance, the instance is automatically assigned to this default security group. Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that the default security group restrict all traffic. The default VPC in every region should have its default security group updated to comply. Any newly created VPCs will automatically contain a default security group that will need remediation to comply with this recommendation. **NOTE:** When implementing this recommendation, VPC flow logging is invaluable in determining the least privilege port access required by systems to work properly because it can log all packet acceptances and rejections occurring under the current security groups. This dramatically reduces the primary barrier to least privilege engineering - discovering the minimum ports required by systems in the environment. Even if the VPC flow logging recommendation in this benchmark is not adopted as a permanent security measure, it should be used during any period of discovery and engineering for least privileged security groups.",
@@ -1334,7 +1334,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Once a VPC peering connection is established, routing tables must be updated to establish any connections between the peered VPCs. These routes can be as specific as desired - even peering a VPC to only a single host on the other side of the connection.",
diff --git a/prowler/compliance/aws/cis_2.0_aws.json b/prowler/compliance/aws/cis_2.0_aws.json
index 1d12e296d5..b847e5e38e 100644
--- a/prowler/compliance/aws/cis_2.0_aws.json
+++ b/prowler/compliance/aws/cis_2.0_aws.json
@@ -12,7 +12,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization. An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of Acceptable Use Policy or indicative of likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
@@ -33,7 +33,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
@@ -54,7 +54,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When cerating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
@@ -76,7 +76,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused in 45 or greater days be deactivated or removed.",
@@ -97,7 +97,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
@@ -118,7 +118,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be regularly rotated.",
@@ -139,7 +139,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM users are granted access to services, functions, and data through IAM policies. There are three ways to define policies for a user: 1) Edit the user policy directly, aka an inline, or user, policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy. Only the third implementation is recommended.",
@@ -161,7 +161,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered a standard security advice to grant _least privilege_ -that is, granting only the permissions required to perform a task. Determine what users need to do and then craft policies for them that let the users perform _only_ those tasks, instead of allowing full administrative privileges.",
@@ -182,7 +182,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role to allow authorized users to manage incidents with AWS Support.",
@@ -203,7 +203,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. \"AWS Access\" means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
@@ -224,7 +224,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use ACM or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
@@ -245,7 +245,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
@@ -266,7 +266,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Enable IAM Access analyzer for IAM policies about all resources in each region. IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. So the results allow you to determine if an unintended user is allowed, making it easier for administrators to monitor least privileges access. Access Analyzer analyzes only policies that are applied to resources in the same AWS Region.",
@@ -287,7 +287,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
@@ -308,7 +308,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS CloudShell is a convenient way of running CLI commands against AWS services; a managed IAM policy ('AWSCloudShellFullAccess') provides full access to CloudShell, which allows file upload and download capability between a user's local system and the CloudShell environment. Within the CloudShell environment a user has sudo permissions, and can access the internet. So it is feasible to install file transfer software (for example) and move data from CloudShell to external internet servers.",
@@ -329,7 +329,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "The AWS support portal allows account owners to establish security questions that can be used to authenticate individuals calling AWS customer service for support. It is recommended that security questions be established.",
@@ -350,7 +350,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be removed.",
@@ -371,7 +371,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device. **Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is managed to be kept charged and secured independent of any individual personal devices. (\"non-personal virtual MFA\") This lessens the risks of losing access to the MFA due to device loss, device trade-in or if the individual owning the device is no longer employed at the company.",
@@ -392,7 +392,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA.",
@@ -413,7 +413,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
@@ -434,7 +434,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure password are at least a given length. It is recommended that the password policy require a minimum password length 14.",
@@ -455,7 +455,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
@@ -476,7 +476,7 @@
],
"Attributes": [
{
- "Section": "2. Storage",
+ "Section": "2 Storage",
"SubSection": "2.1. Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
@@ -499,8 +499,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Once MFA Delete is enabled on your sensitive and classified S3 bucket it requires the user to have two forms of authentication.",
@@ -521,8 +521,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Amazon S3 buckets can contain sensitive data, that for security purposes should be discovered, monitored, classified and protected. Macie along with other 3rd party tools can automatically provide an inventory of Amazon S3 buckets.",
@@ -544,8 +544,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides `Block public access (bucket settings)` and `Block public access (account settings)` to help you manage public access to Amazon S3 resources. By default, S3 buckets and objects are created with public access disabled. However, an IAM principal with sufficient S3 permissions can enable public access at the bucket and/or object level. While enabled, `Block public access (bucket settings)` prevents an individual bucket, and its contained objects, from becoming publicly accessible. Similarly, `Block public access (account settings)` prevents all buckets, and contained objects, from becoming publicly accessible across the entire account.",
@@ -566,8 +566,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.2. Elastic Compute Cloud (EC2)",
+ "Section": "2 Storage",
+ "SubSection": "2.2 Elastic Compute Cloud (EC2)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Elastic Compute Cloud (EC2) supports encryption at rest when using the Elastic Block Store (EBS) service. While disabled by default, forcing encryption at EBS volume creation is supported.",
@@ -589,8 +589,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon RDS encrypted DB instances use the industry standard AES-256 encryption algorithm to encrypt your data on the server that hosts your Amazon RDS DB instances. After your data is encrypted, Amazon RDS handles authentication of access and decryption of your data transparently with a minimal impact on performance.",
@@ -611,8 +611,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure that RDS database instances have the Auto Minor Version Upgrade flag enabled in order to receive automatically minor engine upgrades during the specified maintenance window. So, RDS instances can get the new features, bug fixes, and security patches for their database engines.",
@@ -633,8 +633,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure and verify that RDS database instances provisioned in your AWS account do restrict unauthorized access in order to minimize security risks. To restrict access to any publicly accessible RDS database instance, you must disable the database Publicly Accessible flag and update the VPC security group associated with the instance.",
@@ -655,7 +655,7 @@
],
"Attributes": [
{
- "Section": "2. Storage",
+ "Section": "2 Storage",
"SubSection": "2.4 Elastic File System (EFS)",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
@@ -677,7 +677,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
@@ -698,7 +698,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -719,7 +719,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -740,7 +740,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled on all CloudTrails.",
@@ -761,7 +761,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "CloudTrail logs a record of every API call made in your AWS account. These logs file are stored in an S3 bucket. It is recommended that the bucket policy or access control list (ACL) applied to the S3 bucket that CloudTrail logs to prevent public access to the CloudTrail logs.",
@@ -782,7 +782,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls made in a given AWS account. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably. In addition to capturing CloudTrail logs within a specified S3 bucket for long term analysis, realtime analysis can be performed by configuring CloudTrail to send logs to CloudWatch Logs. For a trail that is enabled in all regions in an account, CloudTrail sends log files from all those regions to a CloudWatch Logs log group. It is recommended that CloudTrail logs be sent to CloudWatch Logs. Note: The intent of this recommendation is to ensure AWS account activity is being captured, monitored, and appropriately alarmed on. CloudWatch Logs is a native way to accomplish this using AWS services but does not preclude the use of an alternate solution.",
@@ -803,7 +803,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration item (AWS resource), relationships between configuration items (AWS resources), any configuration changes between resources. It is recommended AWS Config be enabled in all regions.",
@@ -824,7 +824,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "S3 Bucket Access Logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that bucket access logging be enabled on the CloudTrail S3 bucket.",
@@ -845,7 +845,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
@@ -866,7 +866,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key which is key material stored within the KMS which is tied to the key ID of the Customer Created customer master key (CMK). It is the backing key that is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can take place transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation can not be enabled for any asymmetric CMK.",
@@ -887,7 +887,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet \"Rejects\" for VPCs.",
@@ -908,7 +908,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
@@ -929,7 +929,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Security Groups are a stateful packet filter that controls ingress and egress traffic within a VPC. It is recommended that a metric filter and alarm be established for detecting changes to Security Groups.",
@@ -950,7 +950,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. NACLs are used as a stateless packet filter to control ingress and egress traffic for subnets within a VPC. It is recommended that a metric filter and alarm be established for changes made to NACLs.",
@@ -971,7 +971,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Network gateways are required to send/receive traffic to a destination outside of a VPC. It is recommended that a metric filter and alarm be established for changes to network gateways.",
@@ -992,7 +992,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Routing tables are used to route network traffic between subnets and to network gateways. It is recommended that a metric filter and alarm be established for changes to route tables.",
@@ -1013,7 +1013,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is possible to have more than 1 VPC within an account, in addition it is also possible to create a peer connection between 2 VPCs enabling network traffic to route between VPCs. It is recommended that a metric filter and alarm be established for changes made to VPCs.",
@@ -1034,7 +1034,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for AWS Organizations changes made in the master AWS Account.",
@@ -1055,7 +1055,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Security Hub collects security data from across AWS accounts, services, and supported third-party partner products and helps you analyze your security trends and identify the highest priority security issues. When you enable Security Hub, it begins to consume, aggregate, organize, and prioritize findings from AWS services that you have enabled, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie. You can also enable integrations with AWS partner security products.",
@@ -1076,7 +1076,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for console logins that are not protected by multi-factor authentication (MFA).",
@@ -1097,7 +1097,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for 'root' login attempts.",
@@ -1118,7 +1118,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established changes made to Identity and Access Management (IAM) policies.",
@@ -1139,7 +1139,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1160,7 +1160,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for failed console authentication attempts.",
@@ -1181,7 +1181,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for customer created CMKs which have changed state to disabled or scheduled deletion.",
@@ -1202,7 +1202,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes to S3 bucket policies.",
@@ -1223,7 +1223,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1246,7 +1246,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The Network Access Control List (NACL) function provide stateless filtering of ingress and egress network traffic to AWS resources. It is recommended that no NACL allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1269,7 +1269,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1292,7 +1292,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1313,7 +1313,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "A VPC comes with a default security group whose initial settings deny all inbound traffic, allow all outbound traffic, and allow all traffic between instances assigned to the security group. If you don't specify a security group when you launch an instance, the instance is automatically assigned to this default security group. Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that the default security group restrict all traffic. The default VPC in every region should have its default security group updated to comply. Any newly created VPCs will automatically contain a default security group that will need remediation to comply with this recommendation. **NOTE:** When implementing this recommendation, VPC flow logging is invaluable in determining the least privilege port access required by systems to work properly because it can log all packet acceptances and rejections occurring under the current security groups. This dramatically reduces the primary barrier to least privilege engineering - discovering the minimum ports required by systems in the environment. Even if the VPC flow logging recommendation in this benchmark is not adopted as a permanent security measure, it should be used during any period of discovery and engineering for least privileged security groups.",
@@ -1334,7 +1334,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Once a VPC peering connection is established, routing tables must be updated to establish any connections between the peered VPCs. These routes can be as specific as desired - even peering a VPC to only a single host on the other side of the connection.",
@@ -1356,7 +1356,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "When enabling the Metadata Service on AWS EC2 instances, users have the option of using either Instance Metadata Service Version 1 (IMDSv1; a request/response method) or Instance Metadata Service Version 2 (IMDSv2; a session-oriented method).",
diff --git a/prowler/compliance/aws/cis_3.0_aws.json b/prowler/compliance/aws/cis_3.0_aws.json
index 9b45e6c7b8..9b9ff78ded 100644
--- a/prowler/compliance/aws/cis_3.0_aws.json
+++ b/prowler/compliance/aws/cis_3.0_aws.json
@@ -12,7 +12,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization. An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of Acceptable Use Policy or indicative of likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
@@ -33,7 +33,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
@@ -54,7 +54,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When cerating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
@@ -76,7 +76,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused in 45 or greater days be deactivated or removed.",
@@ -97,7 +97,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
@@ -118,7 +118,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be regularly rotated.",
@@ -139,7 +139,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM users are granted access to services, functions, and data through IAM policies. There are three ways to define policies for a user: 1) Edit the user policy directly, aka an inline, or user, policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy. Only the third implementation is recommended.",
@@ -161,7 +161,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered a standard security advice to grant _least privilege_ -that is, granting only the permissions required to perform a task. Determine what users need to do and then craft policies for them that let the users perform _only_ those tasks, instead of allowing full administrative privileges.",
@@ -182,7 +182,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role to allow authorized users to manage incidents with AWS Support.",
@@ -203,7 +203,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. \"AWS Access\" means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
@@ -224,7 +224,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use ACM or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
@@ -245,7 +245,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
@@ -266,7 +266,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Enable IAM Access analyzer for IAM policies about all resources in each region. IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. So the results allow you to determine if an unintended user is allowed, making it easier for administrators to monitor least privileges access. Access Analyzer analyzes only policies that are applied to resources in the same AWS Region.",
@@ -287,7 +287,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
@@ -306,7 +306,7 @@
"Checks": [],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS CloudShell is a convenient way of running CLI commands against AWS services; a managed IAM policy ('AWSCloudShellFullAccess') provides full access to CloudShell, which allows file upload and download capability between a user's local system and the CloudShell environment. Within the CloudShell environment a user has sudo permissions, and can access the internet. So it is feasible to install file transfer software (for example) and move data from CloudShell to external internet servers.",
@@ -327,7 +327,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "The AWS support portal allows account owners to establish security questions that can be used to authenticate individuals calling AWS customer service for support. It is recommended that security questions be established.",
@@ -348,7 +348,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be removed.",
@@ -369,7 +369,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device. **Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is managed to be kept charged and secured independent of any individual personal devices. (\"non-personal virtual MFA\") This lessens the risks of losing access to the MFA due to device loss, device trade-in or if the individual owning the device is no longer employed at the company.",
@@ -390,7 +390,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA.",
@@ -411,7 +411,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
@@ -432,7 +432,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure password are at least a given length. It is recommended that the password policy require a minimum password length 14.",
@@ -453,7 +453,7 @@
],
"Attributes": [
{
- "Section": "1. Identity and Access Management",
+ "Section": "1 Identity and Access Management",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
@@ -474,8 +474,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "At the Amazon S3 bucket level, you can configure permissions through a bucket policy making the objects accessible only through HTTPS.",
@@ -496,8 +496,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Once MFA Delete is enabled on your sensitive and classified S3 bucket it requires the user to have two forms of authentication.",
@@ -518,8 +518,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Amazon S3 buckets can contain sensitive data, that for security purposes should be discovered, monitored, classified and protected. Macie along with other 3rd party tools can automatically provide an inventory of Amazon S3 buckets.",
@@ -541,8 +541,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.1. Simple Storage Service (S3)",
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon S3 provides `Block public access (bucket settings)` and `Block public access (account settings)` to help you manage public access to Amazon S3 resources. By default, S3 buckets and objects are created with public access disabled. However, an IAM principal with sufficient S3 permissions can enable public access at the bucket and/or object level. While enabled, `Block public access (bucket settings)` prevents an individual bucket, and its contained objects, from becoming publicly accessible. Similarly, `Block public access (account settings)` prevents all buckets, and contained objects, from becoming publicly accessible across the entire account.",
@@ -563,8 +563,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.2. Elastic Compute Cloud (EC2)",
+ "Section": "2 Storage",
+ "SubSection": "2.2 Elastic Compute Cloud (EC2)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Elastic Compute Cloud (EC2) supports encryption at rest when using the Elastic Block Store (EBS) service. While disabled by default, forcing encryption at EBS volume creation is supported.",
@@ -585,8 +585,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Amazon RDS encrypted DB instances use the industry standard AES-256 encryption algorithm to encrypt your data on the server that hosts your Amazon RDS DB instances. After your data is encrypted, Amazon RDS handles authentication of access and decryption of your data transparently with a minimal impact on performance.",
@@ -607,8 +607,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure that RDS database instances have the Auto Minor Version Upgrade flag enabled in order to receive automatically minor engine upgrades during the specified maintenance window. So, RDS instances can get the new features, bug fixes, and security patches for their database engines.",
@@ -629,8 +629,8 @@
],
"Attributes": [
{
- "Section": "2. Storage",
- "SubSection": "2.3. Relational Database Service (RDS)",
+ "Section": "2 Storage",
+ "SubSection": "2.3 Relational Database Service (RDS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Ensure and verify that RDS database instances provisioned in your AWS account do restrict unauthorized access in order to minimize security risks. To restrict access to anypublicly accessible RDS database instance, you must disable the database PubliclyAccessible flag and update the VPC security group associated with the instance",
@@ -651,7 +651,7 @@
],
"Attributes": [
{
- "Section": "2. Storage",
+ "Section": "2 Storage",
"SubSection": "2.4 Elastic File System (EFS)",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
@@ -673,7 +673,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
@@ -694,7 +694,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -715,7 +715,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations such as GetObject, DeleteObject, and PutObject are called data events. By default, CloudTrail trails don't log data events and so it is recommended to enable Object-level logging for S3 buckets.",
@@ -736,7 +736,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled on all CloudTrails.",
@@ -757,7 +757,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration item (AWS resource), relationships between configuration items (AWS resources), any configuration changes between resources. It is recommended AWS Config be enabled in all regions.",
@@ -778,7 +778,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "S3 Bucket Access Logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that bucket access logging be enabled on the CloudTrail S3 bucket.",
@@ -799,7 +799,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
@@ -820,7 +820,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key which is key material stored within the KMS which is tied to the key ID of the Customer Created customer master key (CMK). It is the backing key that is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can take place transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation can not be enabled for any asymmetric CMK.",
@@ -841,7 +841,7 @@
],
"Attributes": [
{
- "Section": "3. Logging",
+ "Section": "3 Logging",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet \"Rejects\" for VPCs.",
@@ -862,7 +862,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
@@ -883,7 +883,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Security Groups are a stateful packet filter that controls ingress and egress traffic within a VPC. It is recommended that a metric filter and alarm be established for detecting changes to Security Groups.",
@@ -904,7 +904,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. NACLs are used as a stateless packet filter to control ingress and egress traffic for subnets within a VPC. It is recommended that a metric filter and alarm be established for changes made to NACLs.",
@@ -925,7 +925,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Network gateways are required to send/receive traffic to a destination outside of a VPC. It is recommended that a metric filter and alarm be established for changes to network gateways.",
@@ -946,7 +946,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. Routing tables are used to route network traffic between subnets and to network gateways. It is recommended that a metric filter and alarm be established for changes to route tables.",
@@ -967,7 +967,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is possible to have more than 1 VPC within an account, in addition it is also possible to create a peer connection between 2 VPCs enabling network traffic to route between VPCs. It is recommended that a metric filter and alarm be established for changes made to VPCs.",
@@ -988,7 +988,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for AWS Organizations changes made in the master AWS Account.",
@@ -1009,7 +1009,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Security Hub collects security data from across AWS accounts, services, and supported third-party partner products and helps you analyze your security trends and identify the highest priority security issues. When you enable Security Hub, it begins to consume, aggregate, organize, and prioritize findings from AWS services that you have enabled, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie. You can also enable integrations with AWS partner security products.",
@@ -1030,7 +1030,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for console logins that are not protected by multi-factor authentication (MFA).",
@@ -1051,7 +1051,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for 'root' login attempts.",
@@ -1072,7 +1072,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established changes made to Identity and Access Management (IAM) policies.",
@@ -1093,7 +1093,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1114,7 +1114,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for failed console authentication attempts.",
@@ -1135,7 +1135,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for customer created CMKs which have changed state to disabled or scheduled deletion.",
@@ -1156,7 +1156,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes to S3 bucket policies.",
@@ -1177,7 +1177,7 @@
],
"Attributes": [
{
- "Section": "4. Monitoring",
+ "Section": "4 Monitoring",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to CloudTrail's configurations.",
@@ -1200,7 +1200,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The Network Access Control List (NACL) function provide stateless filtering of ingress and egress network traffic to AWS resources. It is recommended that no NACL allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1223,7 +1223,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1246,7 +1246,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH to port `22` and RDP to port `3389`.",
@@ -1267,7 +1267,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "A VPC comes with a default security group whose initial settings deny all inbound traffic, allow all outbound traffic, and allow all traffic between instances assigned to the security group. If you don't specify a security group when you launch an instance, the instance is automatically assigned to this default security group. Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that the default security group restrict all traffic. The default VPC in every region should have its default security group updated to comply. Any newly created VPCs will automatically contain a default security group that will need remediation to comply with this recommendation. **NOTE:** When implementing this recommendation, VPC flow logging is invaluable in determining the least privilege port access required by systems to work properly because it can log all packet acceptances and rejections occurring under the current security groups. This dramatically reduces the primary barrier to least privilege engineering - discovering the minimum ports required by systems in the environment. Even if the VPC flow logging recommendation in this benchmark is not adopted as a permanent security measure, it should be used during any period of discovery and engineering for least privileged security groups.",
@@ -1288,7 +1288,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Once a VPC peering connection is established, routing tables must be updated to establish any connections between the peered VPCs. These routes can be as specific as desired - even peering a VPC to only a single host on the other side of the connection.",
@@ -1309,7 +1309,7 @@
],
"Attributes": [
{
- "Section": "5. Networking",
+ "Section": "5 Networking",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "When enabling the Metadata Service on AWS EC2 instances, users have the option of using either Instance Metadata Service Version 1 (IMDSv1; a request/response method) or Instance Metadata Service Version 2 (IMDSv2; a session-oriented method).",
diff --git a/prowler/compliance/aws/cis_4.0_aws.json b/prowler/compliance/aws/cis_4.0_aws.json
index d026a21962..cd8edb322a 100644
--- a/prowler/compliance/aws/cis_4.0_aws.json
+++ b/prowler/compliance/aws/cis_4.0_aws.json
@@ -13,7 +13,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization.An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of the Acceptable Use Policy or indicative of a likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
@@ -36,7 +35,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
@@ -59,7 +57,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "The AWS support portal allows account owners to establish security questions that can be used to authenticate individuals calling AWS customer service for support. It is recommended that security questions be established.",
@@ -82,7 +79,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be deleted.",
@@ -105,7 +101,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device.**Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is kept charged and secured, independent of any individual personal devices (non-personal virtual MFA). This lessens the risks of losing access to the MFA due to device loss, device trade-in, or if the individual owning the device is no longer employed at the company.",
@@ -128,7 +123,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA.",
@@ -151,7 +145,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
@@ -174,7 +167,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure passwords are at least a given length. It is recommended that the password policy require a minimum password length 14.",
@@ -197,7 +189,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
@@ -220,7 +211,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
@@ -243,7 +233,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When creating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
@@ -267,7 +256,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused for 45 days or more be deactivated or removed.",
@@ -290,7 +278,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
@@ -313,7 +300,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be rotated regularly.",
@@ -336,7 +322,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM users are granted access to services, functions, and data through IAM policies. There are four ways to define policies for a user: 1) Edit the user policy directly, also known as an inline or user policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy; 4) add the user to an IAM group that has an inline policy.Only the third implementation is recommended.",
@@ -360,7 +345,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered standard security advice to grant least privilegeโthat is, granting only the permissions required to perform a task. Determine what users need to do, and then craft policies for them that allow the users to perform only those tasks, instead of granting full administrative privileges.",
@@ -383,7 +367,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role, with the appropriate policy assigned, to allow authorized users to manage incidents with AWS Support.",
@@ -406,7 +389,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. AWS Access means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
@@ -429,7 +411,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use AWS Certificate Manager (ACM) or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
@@ -452,7 +433,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Enable the IAM Access Analyzer for IAM policies regarding all resources in each active AWS region.IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. The results allow you to determine whether an unintended user is permitted, making it easier for administrators to monitor least privilege access. Access Analyzer analyzes only the policies that are applied to resources in the same AWS Region.",
@@ -475,7 +455,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
@@ -498,7 +477,6 @@
"Attributes": [
{
"Section": "1 Identity and Access Management",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "AWS CloudShell is a convenient way of running CLI commands against AWS services; a managed IAM policy ('AWSCloudShellFullAccess') provides full access to CloudShell, which allows file upload and download capability between a user's local system and the CloudShell environment. Within the CloudShell environment, a user has sudo permissions and can access the internet. Therefore, it is feasible to install file transfer software, for example, and move data from CloudShell to external internet servers.",
@@ -730,7 +708,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
@@ -753,7 +730,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or remained unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled for all CloudTrails.",
@@ -776,7 +752,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration items (AWS resources), relationships between configuration items (AWS resources), and any configuration changes between resources. It is recommended that AWS Config be enabled in all regions.",
@@ -799,7 +774,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Server access logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that server access logging be enabled on the CloudTrail S3 bucket.",
@@ -822,7 +796,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer-created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
@@ -845,7 +818,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key, which is key material stored within the KMS that is tied to the key ID of the customer-created customer master key (CMK). The backing key is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can occur transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation cannot be enabled for any asymmetric CMK.",
@@ -868,7 +840,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet Rejects for VPCs.",
@@ -891,7 +862,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations, such as GetObject, DeleteObject, and PutObject, are referred to as data events. By default, CloudTrail trails do not log data events, so it is recommended to enable object-level logging for S3 buckets.",
@@ -914,7 +884,6 @@
"Attributes": [
{
"Section": "3 Logging",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "S3 object-level API operations, such as GetObject, DeleteObject, and PutObject, are referred to as data events. By default, CloudTrail trails do not log data events, so it is recommended to enable object-level logging for S3 buckets.",
@@ -937,7 +906,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
@@ -960,7 +928,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for console logins that are not protected by multi-factor authentication (MFA).",
@@ -983,7 +950,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for 'root' login attempts to detect unauthorized use or attempts to use the root account.",
@@ -1006,7 +972,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms.It is recommended that a metric filter and alarm be established for changes made to Identity and Access Management (IAM) policies.",
@@ -1029,7 +994,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be used to detect changes to CloudTrail's configurations.",
@@ -1052,7 +1016,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for failed console authentication attempts.",
@@ -1075,7 +1038,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for customer-created CMKs that have changed state to disabled or are scheduled for deletion.",
@@ -1098,7 +1060,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes to S3 bucket policies.",
@@ -1121,7 +1082,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for detecting changes to AWS Config's configurations.",
@@ -1144,7 +1104,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. Security groups are stateful packet filters that control ingress and egress traffic within a VPC.It is recommended that a metric filter and alarm be established to detect changes to security groups.",
@@ -1167,7 +1126,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. NACLs are used as a stateless packet filter to control ingress and egress traffic for subnets within a VPC. It is recommended that a metric filter and alarm be established for any changes made to NACLs.",
@@ -1190,7 +1148,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. Network gateways are required to send and receive traffic to a destination outside of a VPC. It is recommended that a metric filter and alarm be established for changes to network gateways.",
@@ -1213,7 +1170,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. Routing tables are used to route network traffic between subnets and to network gateways.It is recommended that a metric filter and alarm be established for changes to route tables.",
@@ -1236,7 +1192,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is possible to have more than one VPC within an account; additionally, it is also possible to create a peer connection between two VPCs, enabling network traffic to route between them.It is recommended that a metric filter and alarm be established for changes made to VPCs.",
@@ -1259,7 +1214,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Manual",
"Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for changes made to AWS Organizations in the master AWS account.",
@@ -1282,7 +1236,6 @@
"Attributes": [
{
"Section": "4 Monitoring",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "Security Hub collects security data from various AWS accounts, services, and supported third-party partner products, helping you analyze your security trends and identify the highest-priority security issues. When you enable Security Hub, it begins to consume, aggregate, organize, and prioritize findings from the AWS services that you have enabled, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie. You can also enable integrations with AWS partner security products.",
@@ -1307,7 +1260,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "The Network Access Control List (NACL) function provides stateless filtering of ingress and egress network traffic to AWS resources. It is recommended that no NACL allows unrestricted ingress access to remote server administration ports, such as SSH on port `22` and RDP on port `3389`, using either the TCP (6), UDP (17), or ALL (-1) protocols.",
@@ -1332,7 +1284,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH on port `22` and RDP on port `3389`, using either the TCP (6), UDP (17), or ALL (-1) protocols.",
@@ -1357,7 +1308,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "Security groups provide stateful filtering of ingress and egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to remote server administration ports, such as SSH on port `22` and RDP on port `3389`.",
@@ -1380,7 +1330,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Automated",
"Description": "A VPC comes with a default security group whose initial settings deny all inbound traffic, allow all outbound traffic, and allow all traffic between instances assigned to the security group. If a security group is not specified when an instance is launched, it is automatically assigned to this default security group. Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that the default security group restrict all traffic, both inbound and outbound.The default VPC in every region should have its default security group updated to comply with the following: - No inbound rules. - No outbound rules.Any newly created VPCs will automatically contain a default security group that will need remediation to comply with this recommendation.**Note:** When implementing this recommendation, VPC flow logging is invaluable in determining the least privilege port access required by systems to work properly, as it can log all packet acceptances and rejections occurring under the current security groups. This dramatically reduces the primary barrier to least privilege engineering by discovering the minimum ports required by systems in the environment. Even if the VPC flow logging recommendation in this benchmark is not adopted as a permanent security measure, it should be used during any period of discovery and engineering for least privileged security groups.",
@@ -1403,7 +1352,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 2",
"AssessmentStatus": "Manual",
"Description": "Once a VPC peering connection is established, routing tables must be updated to enable any connections between the peered VPCs. These routes can be as specific as desired, even allowing for the peering of a VPC to only a single host on the other side of the connection.",
@@ -1426,7 +1374,6 @@
"Attributes": [
{
"Section": "5 Networking",
- "SubSection": "",
"Profile": "Level 1",
"AssessmentStatus": "Automated",
"Description": "When enabling the Metadata Service on AWS EC2 instances, users have the option of using either Instance Metadata Service Version 1 (IMDSv1; a request/response method) or Instance Metadata Service Version 2 (IMDSv2; a session-oriented method).",
diff --git a/prowler/compliance/aws/cis_5.0_aws.json b/prowler/compliance/aws/cis_5.0_aws.json
new file mode 100644
index 0000000000..b95feddd27
--- /dev/null
+++ b/prowler/compliance/aws/cis_5.0_aws.json
@@ -0,0 +1,1415 @@
+{
+ "Framework": "CIS",
+ "Version": "5.0",
+ "Provider": "AWS",
+ "Description": "The CIS Amazon Web Services Foundations Benchmark provides prescriptive guidance for configuring security options for a subset of Amazon Web Services with an emphasis on foundational, testable, and architecture agnostic settings.",
+ "Requirements": [
+ {
+ "Id": "1.1",
+ "Description": "Maintain current contact details",
+ "Checks": [
+ "account_maintain_current_contact_details"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "Ensure contact email and telephone details for AWS accounts are current and map to more than one individual in your organization. An AWS account supports a number of contact details, and AWS will use these to contact the account owner if activity judged to be in breach of the Acceptable Use Policy or indicative of a likely security compromise is observed by the AWS Abuse team. Contact details should not be for a single individual, as circumstances may arise where that individual is unavailable. Email contact details should point to a mail alias which forwards email to multiple individuals within the organization; where feasible, phone contact details should point to a PABX hunt group or other call-forwarding system.",
+ "RationaleStatement": "If an AWS account is observed to be behaving in a prohibited or suspicious manner, AWS will attempt to contact the account owner by email and phone using the contact details listed. If this is unsuccessful and the account behavior needs urgent mitigation, proactive measures may be taken, including throttling of traffic between the account exhibiting suspicious behavior and the AWS API endpoints and the Internet. This will result in impaired service to and from the account in question, so it is in both the customers' and AWS's best interests that prompt contact can be established. This is best achieved by setting AWS account contact details to point to resources which have multiple individuals as recipients, such as email aliases and PABX hunt groups.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "This activity can only be performed via the AWS Console, with a user who has permission to read and write Billing information (aws-portal:\\*Billing). 1. Sign in to the AWS Management Console and open the `Billing and Cost Management` console at https://console.aws.amazon.com/billing/home#/. 2. On the navigation bar, choose your account name, and then choose `Account`. 3. On the `Account Settings` page, next to `Account Settings`, choose `Edit`. 4. Next to the field that you need to update, choose `Edit`. 5. After you have entered your changes, choose `Save changes`. 6. After you have made your changes, choose `Done`. 7. To edit your contact information, under `Contact Information`, choose `Edit`. 8. For the fields that you want to change, type your updated information, and then choose `Update`.",
+ "AuditProcedure": "This activity can only be performed via the AWS Console, with a user who has permission to read and write Billing information (aws-portal:\\*Billing). 1. Sign in to the AWS Management Console and open the `Billing and Cost Management` console at https://console.aws.amazon.com/billing/home#/. 2. On the navigation bar, choose your account name, and then choose `Account`. 3. On the `Account Settings` page, review and verify the current details. 4. Under `Contact Information`, review and verify the current details.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/manage-account-payment.html#contact-info",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.2",
+ "Description": "Ensure security contact information is registered",
+ "Checks": [
+ "account_security_contact_information_is_registered"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "AWS provides customers with the option of specifying the contact information for account's security team. It is recommended that this information be provided.",
+ "RationaleStatement": "Specifying security-specific contact information will help ensure that security advisories sent by AWS reach the team in your organization that is best equipped to respond to them.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to establish security contact information: **From Console:** 1. Click on your account name at the top right corner of the console. 2. From the drop-down menu Click `My Account` 3. Scroll down to the `Alternate Contacts` section 4. Enter contact information in the `Security` section **From Command Line:** Run the following command with the following input parameters: --email-address, --name, and --phone-number. ``` aws account put-alternate-contact --alternate-contact-type SECURITY ``` **Note:** Consider specifying an internal email distribution list to ensure emails are regularly monitored by more than one individual.",
+ "AuditProcedure": "Perform the following to determine if security contact information is present: **From Console:** 1. Click on your account name at the top right corner of the console 2. From the drop-down menu Click `My Account` 3. Scroll down to the `Alternate Contacts` section 4. Ensure contact information is specified in the `Security` section **From Command Line:** 1. Run the following command: ``` aws account get-alternate-contact --alternate-contact-type SECURITY ``` 2. Ensure proper contact information is specified for the `Security` contact.",
+ "AdditionalInformation": "",
+ "References": "",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.3",
+ "Description": "Ensure no 'root' user account access key exists",
+ "Checks": [
+ "iam_no_root_access_key"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "The 'root' user account is the most privileged user in an AWS account. AWS Access Keys provide programmatic access to a given AWS account. It is recommended that all access keys associated with the 'root' user account be deleted.",
+ "RationaleStatement": "Deleting access keys associated with the 'root' user account limits vectors by which the account can be compromised. Additionally, deleting the 'root' access keys encourages the creation and use of role based accounts that are least privileged.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to delete active 'root' user access keys. **From Console:** 1. Sign in to the AWS Management Console as 'root' and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. Click on `` at the top right and select `My Security Credentials` from the drop down list. 3. On the pop out screen Click on `Continue to Security Credentials`. 4. Click on `Access Keys` (Access Key ID and Secret Access Key). 5. If there are active keys, under `Status`, click `Delete` (Note: Deleted keys cannot be recovered). Note: While a key can be made inactive, this inactive key will still show up in the CLI command from the audit procedure, and may lead to the root user being falsely flagged as being non-compliant.",
+ "AuditProcedure": "Perform the following to determine if the 'root' user account has access keys: **From Console:** 1. Login to the AWS Management Console. 2. Click `Services`. 3. Click `IAM`. 4. Click on `Credential Report`. 5. This will download a `.csv` file which contains credential usage for all IAM users within an AWS Account - open this file. 6. For the `` user, ensure the `access_key_1_active` and `access_key_2_active` fields are set to `FALSE`. **From Command Line:** Run the following command: ``` aws iam get-account-summary | grep AccountAccessKeysPresent ``` If no 'root' access keys exist the output will show `AccountAccessKeysPresent: 0,`. If the output shows a 1, then 'root' keys exist and should be deleted.",
+ "AdditionalInformation": "- IAM User account root for us-gov cloud regions is not enabled by default. However, on request to AWS support enables 'root' access only through access-keys (CLI, API methods) for us-gov cloud region. - Implement regular checks and alerts for any creation of new root access keys to promptly address any unauthorized or accidental creation.",
+ "References": "http://docs.aws.amazon.com/general/latest/gr/aws-access-keys-best-practices.html:http://docs.aws.amazon.com/general/latest/gr/managing-aws-access-keys.html:http://docs.aws.amazon.com/IAM/latest/APIReference/API_GetAccountSummary.html:https://aws.amazon.com/blogs/security/an-easier-way-to-determine-the-presence-of-aws-account-access-keys/",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.4",
+ "Description": "Ensure MFA is enabled for the 'root' user account",
+ "Checks": [
+ "iam_root_mfa_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "The 'root' user account is the most privileged user in an AWS account. Multi-factor Authentication (MFA) adds an extra layer of protection on top of a username and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their username and password as well as for an authentication code from their AWS MFA device. **Note:** When virtual MFA is used for 'root' accounts, it is recommended that the device used is NOT a personal device, but rather a dedicated mobile device (tablet or phone) that is kept charged and secured, independent of any individual personal devices (non-personal virtual MFA). This lessens the risks of losing access to the MFA due to device loss, device trade-in, or if the individual owning the device is no longer employed at the company. Where an AWS Organization is using centralized root access, root credentials can be removed from member accounts. In that case it is neither possible nor necessary to configure root MFA in the member account.",
+ "RationaleStatement": "Enabling MFA provides increased security for console access as it requires the authenticating principal to possess a device that emits a time-sensitive key and have knowledge of a credential.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**Note:** To manage MFA devices for the 'root' AWS account, you must use your 'root' account credentials to sign in to AWS. You cannot manage MFA devices for the 'root' account using other credentials. Perform the following to establish MFA for the 'root' user account: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. Choose `Dashboard` , and under `Security Status` , expand `Activate MFA` on your root account. 3. Choose `Activate MFA` 4. In the wizard, choose `A virtual MFA` device and then choose `Next Step` . 5. IAM generates and displays configuration information for the virtual MFA device, including a QR code graphic. The graphic is a representation of the 'secret configuration key' that is available for manual entry on devices that do not support QR codes. 6. Open your virtual MFA application. (For a list of apps that you can use for hosting virtual MFA devices, see [Virtual MFA Applications](http://aws.amazon.com/iam/details/mfa/#Virtual_MFA_Applications).) If the virtual MFA application supports multiple accounts (multiple virtual MFA devices), choose the option to create a new account (a new virtual MFA device). 7. Determine whether the MFA app supports QR codes, and then do one of the following: - Use the app to scan the QR code. For example, you might choose the camera icon or choose an option similar to Scan code, and then use the device's camera to scan the code. - In the Manage MFA Device wizard, choose Show secret key for manual configuration, and then type the secret configuration key into your MFA application. When you are finished, the virtual MFA device starts generating one-time passwords. In the Manage MFA Device wizard, in the Authentication Code 1 box, type the one-time password that currently appears in the virtual MFA device. Wait up to 30 seconds for the device to generate a new one-time password. Then type the second one-time password into the Authentication Code 2 box. Choose Assign Virtual MFA.",
+ "AuditProcedure": "Perform the following to determine if the 'root' user account is enabled and has MFA setup: **From Console:** 1. Login to the AWS Management Console 2. Click `Services` 3. Click `IAM` 4. Click on `Credential Report` 5. This will download a `.csv` file which contains credential usage for all IAM users within an AWS Account - open this file 6. For the `` user, ensure the `mfa_active` field is set to `TRUE` or the `password_enabled` field is set to `FALSE` **From Command Line:** 1. Run the following command: ``` aws iam get-account-summary | grep AccountMFAEnabled aws iam get-account-summary | grep AccountPasswordPresent ``` 2. Ensure the AccountMFAEnabled property is set to 1 or the AccountPasswordPresent property is set to 0",
+ "AdditionalInformation": "IAM User account root for us-gov cloud regions does not have console access. This recommendation is not applicable for us-gov cloud regions.",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_root-user.html#id_root-user_manage_mfa:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_enable_virtual.html#enable-virt-mfa-for-root:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_root-enable-root-access.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.5",
+ "Description": "Ensure hardware MFA is enabled for the 'root' user account",
+ "Checks": [
+ "iam_root_hardware_mfa_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Manual",
+ "Description": "The 'root' user account is the most privileged user in an AWS account. MFA adds an extra layer of protection on top of a user name and password. With MFA enabled, when a user signs in to an AWS website, they will be prompted for their user name and password as well as for an authentication code from their AWS MFA device. For Level 2, it is recommended that the 'root' user account be protected with a hardware MFA. Where an AWS Organization is using centralized root access, root credentials can be removed from member accounts. In that case it is neither possible nor necessary to configure root MFA in the member account.",
+ "RationaleStatement": "A hardware MFA has a smaller attack surface than a virtual MFA. For example, a hardware MFA does not suffer the attack surface introduced by the mobile smartphone on which a virtual MFA resides. **Note**: Using hardware MFA for numerous AWS accounts may create a logistical device management issue. If this is the case, consider implementing this Level 2 recommendation selectively for the highest security AWS accounts, while applying the Level 1 recommendation to the remaining accounts.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**Note:** To manage MFA devices for the AWS 'root' user account, you must use your 'root' account credentials to sign in to AWS. You cannot manage MFA devices for the 'root' account using other credentials. Perform the following to establish a hardware MFA for the 'root' user account: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. Choose `Dashboard`, and under `Security Status`, expand `Activate MFA` on your root account. 3. Choose `Activate MFA`. 4. In the wizard, choose `A hardware MFA` device and then choose `Next Step`. 5. In the `Serial Number` box, enter the serial number that is found on the back of the MFA device. 6. In the `Authentication Code 1` box, enter the six-digit number displayed by the MFA device. You might need to press the button on the front of the device to display the number. 7. Wait 30 seconds while the device refreshes the code, and then enter the next six-digit number into the `Authentication Code 2` box. You might need to press the button on the front of the device again to display the second number. 8. Choose `Next Step`. The MFA device is now associated with the AWS account. The next time you use your AWS account credentials to sign in, you must type a code from the hardware MFA device. Remediation for this recommendation is not available through AWS CLI.",
+ "AuditProcedure": "Perform the following to determine if the 'root' user account has a hardware MFA setup: 1. Run the following command to determine if the 'root' account has MFA setup: ``` aws iam get-account-summary | grep AccountMFAEnabled aws iam get-account-summary | grep AccountPasswordPresent ``` The `AccountMFAEnabled` property is set to `1` will ensure that the 'root' user account has MFA (Virtual or Hardware) Enabled. `AccountPasswordPresent` set to `0` indicates that the `root` console credential has been removed. If `AccountMFAEnabled` property is set to `0` and `AccountPasswordPresent` is set to `1` the account is not compliant with this recommendation. 2. If `AccountMFAEnabled` property is set to `1`, determine 'root' account has Hardware MFA enabled. Run the following command to list all virtual MFA devices: ``` aws iam list-virtual-mfa-devices ``` If the output contains one MFA with the following Serial Number, it means the MFA is virtual, not hardware and the account is not compliant with this recommendation: `SerialNumber: arn:aws:iam::__:mfa/root-account-mfa-device`",
+ "AdditionalInformation": "IAM User account 'root' for us-gov cloud regions does not have console access. This control is not applicable for us-gov cloud regions.",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_enable_virtual.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_enable_physical.html#enable-hw-mfa-for-root:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_root-enable-root-access.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.6",
+ "Description": "Eliminate use of the 'root' user for administrative and daily tasks",
+ "Checks": [
+ "iam_avoid_root_usage"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "With the creation of an AWS account, a 'root user' is created that cannot be disabled or deleted. That user has unrestricted access to and control over all resources in the AWS account. It is highly recommended that the use of this account be avoided for everyday tasks.",
+ "RationaleStatement": "The 'root user' has unrestricted access to and control over all account resources. Use of it is inconsistent with the principles of least privilege and separation of duties, and can lead to unnecessary harm due to error or account compromise.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "If you find that the 'root' user account is being used for daily activities, including administrative tasks that do not require the 'root' user: 1. Change the 'root' user password. 2. Deactivate or delete any access keys associated with the 'root' user. Remember, anyone who has 'root' user credentials for your AWS account has unrestricted access to and control of all the resources in your account, including billing information.",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console at `https://console.aws.amazon.com/iam/`. 2. In the left pane, click `Credential Report`. 3. Click on `Download Report`. 4. Open or Save the file locally. 5. Locate the `` under the user column. 6. Review `password_last_used, access_key_1_last_used_date, access_key_2_last_used_date` to determine when the 'root user' was last used. **From Command Line:** Run the following CLI commands to provide a credential report for determining the last time the 'root user' was used: ``` aws iam generate-credential-report ``` ``` aws iam get-credential-report --query 'Content' --output text | base64 -d | cut -d, -f1,5,11,16 | grep -B1 '' ``` Review `password_last_used`, `access_key_1_last_used_date`, `access_key_2_last_used_date` to determine when the _root user_ was last used. **Note:** There are a few conditions under which the use of the 'root' user account is required. Please see the reference links for all of the tasks that require use of the 'root' user.",
+ "AdditionalInformation": "The 'root' user for us-gov cloud regions is not enabled by default. However, on request to AWS support, they can enable the 'root' user and grant access only through access-keys (CLI, API methods) for us-gov cloud region. If the 'root' user for us-gov cloud regions is enabled, this recommendation is applicable. Monitoring usage of the 'root' user can be accomplished by implementing recommendation 3.3 Ensure a log metric filter and alarm exist for usage of the 'root' user.",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_root-user.html:https://docs.aws.amazon.com/general/latest/gr/aws_tasks-that-require-root.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.7",
+ "Description": "Ensure IAM password policy requires minimum length of 14 or greater",
+ "Checks": [
+ "iam_password_policy_minimum_length_14"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Password policies are, in part, used to enforce password complexity requirements. IAM password policies can be used to ensure passwords are at least a given length. It is recommended that the password policy require a minimum password length 14.",
+ "RationaleStatement": "Setting a password complexity policy increases account resiliency against brute force login attempts.",
+ "ImpactStatement": "Enforcing a minimum password length of 14 characters enhances security by making passwords more resistant to brute force attacks. However, it may require users to create longer and potentially more complex passwords, which could impact user convenience.",
+ "RemediationProcedure": "Perform the following to set the password policy as prescribed: **From Console:** 1. Login to AWS Console (with appropriate permissions to View Identity Access Management Account Settings) 2. Go to IAM Service on the AWS Console 3. Click on Account Settings on the Left Pane 4. Set Minimum password length to `14` or greater. 5. Click Apply password policy **From Command Line:** ``` aws iam update-account-password-policy --minimum-password-length 14 ``` Note: All commands starting with aws iam update-account-password-policy can be combined into a single command.",
+ "AuditProcedure": "Perform the following to ensure the password policy is configured as prescribed: **From Console:** 1. Login to AWS Console (with appropriate permissions to View Identity Access Management Account Settings) 2. Go to IAM Service on the AWS Console 3. Click on Account Settings on the Left Pane 4. Ensure Minimum password length is set to 14 or greater. **From Command Line:** ``` aws iam get-account-password-policy ``` Ensure the output of the above command includes MinimumPasswordLength: 14 (or higher)",
+ "AdditionalInformation": "Ensure the password policy also includes requirements for password complexity, such as the inclusion of uppercase letters, lowercase letters, numbers, and special characters: ``` aws iam update-account-password-policy --require-uppercase-characters --require-lowercase-characters --require-numbers --require-symbols ```",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_passwords_account-policy.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#configure-strong-password-policy",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.8",
+ "Description": "Ensure IAM password policy prevents password reuse",
+ "Checks": [
+ "iam_password_policy_reuse_24"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "IAM password policies can prevent the reuse of a given password by the same user. It is recommended that the password policy prevent the reuse of passwords.",
+ "RationaleStatement": "Preventing password reuse increases account resiliency against brute force login attempts.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to set the password policy as prescribed: **From Console:** 1. Login to AWS Console (with appropriate permissions to View Identity Access Management Account Settings) 2. Go to IAM Service on the AWS Console 3. Click on Account Settings on the Left Pane 4. Check Prevent password reuse 5. Set Number of passwords to remember is set to `24` **From Command Line:** ``` aws iam update-account-password-policy --password-reuse-prevention 24 ``` Note: All commands starting with aws iam update-account-password-policy can be combined into a single command.",
+ "AuditProcedure": "Perform the following to ensure the password policy is configured as prescribed: **From Console:** 1. Login to AWS Console (with appropriate permissions to View Identity Access Management Account Settings) 2. Go to IAM Service on the AWS Console 3. Click on Account Settings on the Left Pane 4. Ensure Prevent password reuse is checked 5. Ensure Number of passwords to remember is set to 24 **From Command Line:** ``` aws iam get-account-password-policy ``` Ensure the output of the above command includes PasswordReusePrevention: 24",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_passwords_account-policy.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#configure-strong-password-policy",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.9",
+ "Description": "Ensure multi-factor authentication (MFA) is enabled for all IAM users that have a console password",
+ "Checks": [
+ "iam_user_mfa_enabled_console_access"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Multi-Factor Authentication (MFA) adds an extra layer of authentication assurance beyond traditional credentials. With MFA enabled, when a user signs in to the AWS Console, they will be prompted for their user name and password as well as for an authentication code from their physical or virtual MFA token. It is recommended that MFA be enabled for all accounts that have a console password.",
+ "RationaleStatement": "Enabling MFA provides increased security for console access as it requires the authenticating principal to possess a device that displays a time-sensitive key and have knowledge of a credential.",
+ "ImpactStatement": "AWS will soon end support for SMS multi-factor authentication (MFA). New customers are not allowed to use this feature. We recommend that existing customers switch to an alternative method of MFA.",
+ "RemediationProcedure": "Perform the following to enable MFA: **From Console:** 1. Sign in to the AWS Management Console and open the IAM console at 'https://console.aws.amazon.com/iam/' 2. In the left pane, select `Users`. 3. In the `User Name` list, choose the name of the intended MFA user. 4. Choose the `Security Credentials` tab, and then choose `Manage MFA Device`. 5. In the `Manage MFA Device wizard`, choose `Virtual MFA` device, and then choose `Continue`. IAM generates and displays configuration information for the virtual MFA device, including a QR code graphic. The graphic is a representation of the 'secret configuration key' that is available for manual entry on devices that do not support QR codes. 6. Open your virtual MFA application. (For a list of apps that you can use for hosting virtual MFA devices, see Virtual MFA Applications at https://aws.amazon.com/iam/details/mfa/#Virtual_MFA_Applications). If the virtual MFA application supports multiple accounts (multiple virtual MFA devices), choose the option to create a new account (a new virtual MFA device). 7. Determine whether the MFA app supports QR codes, and then do one of the following: - Use the app to scan the QR code. For example, you might choose the camera icon or choose an option similar to Scan code, and then use the device's camera to scan the code. - In the Manage MFA Device wizard, choose Show secret key for manual configuration, and then type the secret configuration key into your MFA application. When you are finished, the virtual MFA device starts generating one-time passwords. 8. In the `Manage MFA Device wizard`, in the `MFA Code 1 box`, type the `one-time password` that currently appears in the virtual MFA device. Wait up to 30 seconds for the device to generate a new one-time password. Then type the second `one-time password` into the `MFA Code 2 box`. 9. Click `Assign MFA`.",
+ "AuditProcedure": "Perform the following to determine if a MFA device is enabled for all IAM users having a console password: **From Console:** 1. Open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. In the left pane, select `Users` 3. If the `MFA` or `Password age` columns are not visible in the table, click the gear icon at the upper right corner of the table and ensure a checkmark is next to both, then click `Close`. 4. Ensure that for each user where the `Password age` column shows a password age, the `MFA` column shows `Virtual`, `U2F Security Key`, or `Hardware`. **From Command Line:** 1. Run the following command (OSX/Linux/UNIX) to generate a list of all IAM users along with their password and MFA status: ``` aws iam generate-credential-report ``` ``` aws iam get-credential-report --query 'Content' --output text | base64 -d | cut -d, -f1,4,8 ``` 2. The output of this command will produce a table similar to the following: ``` user,password_enabled,mfa_active elise,false,false brandon,true,true rakesh,false,false helene,false,false paras,true,true anitha,false,false ``` 3. For any column having `password_enabled` set to `true` , ensure `mfa_active` is also set to `true.`",
+ "AdditionalInformation": "**Forced IAM User Self-Service Remediation** Amazon has published a pattern that requires users to set up MFA through self-service before they gain access to their complete set of permissions. Until they complete this step, they cannot access their full permissions. This pattern can be used for new AWS accounts. It can also be applied to existing accounts; it is recommended that users receive instructions and a grace period to complete MFA enrollment before active enforcement on existing AWS accounts.",
+ "References": "https://tools.ietf.org/html/rfc6238:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#enable-mfa-for-privileged-users:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_enable_virtual.html:https://blogs.aws.amazon.com/security/post/Tx2SJJYE082KBUK/How-to-Delegate-Management-of-Multi-Factor-Authentication-to-AWS-IAM-Users",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.1",
+ "Description": "Do not create access keys during initial setup for IAM users with a console password",
+ "Checks": [
+ "iam_user_no_setup_initial_access_key"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "AWS console defaults to no check boxes selected when creating a new IAM user. When creating the IAM User credentials you have to determine what type of access they require. Programmatic access: The IAM user might need to make API calls, use the AWS CLI, or use the Tools for Windows PowerShell. In that case, create an access key (access key ID and a secret access key) for that user. AWS Management Console access: If the user needs to access the AWS Management Console, create a password for the user.",
+ "RationaleStatement": "Requiring the additional steps to be taken by the user for programmatic access after their profile has been created will provide a stronger indication of intent that access keys are [a] necessary for their work and [b] that once the access key is established on an account, the keys may be in use somewhere in the organization. **Note**: Even if it is known the user will need access keys, require them to create the keys themselves or put in a support ticket to have them created as a separate step from user creation.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to delete access keys that do not pass the audit: **From Console:** 1. Login to the AWS Management Console: 2. Click `Services` 3. Click `IAM` 4. Click on `Users` 5. Click on `Security Credentials` 6. As an Administrator - Click on the X `(Delete)` for keys that were created at the same time as the user profile but have not been used. 7. As an IAM User - Click on the X `(Delete)` for keys that were created at the same time as the user profile but have not been used. **From Command Line:** ``` aws iam delete-access-key --access-key-id --user-name ```",
+ "AuditProcedure": "Perform the following steps to determine if unused access keys were created upon user creation: **From Console:** 1. Login to the AWS Management Console 2. Click `Services` 3. Click `IAM` 4. Click on a User where column `Password age` and `Access key age` is not set to `None` 5. Click on `Security credentials` Tab 6. Compare the user `Creation time` to the Access Key `Created` date. 6. For any that match, the key was created during initial user setup. - Keys that were created at the same time as the user profile and do not have a last used date should be deleted. Refer to the remediation below. **From Command Line:** 1. Run the following command (OSX/Linux/UNIX) to generate a list of all IAM users along with their access keys utilization: ``` aws iam generate-credential-report ``` ``` aws iam get-credential-report --query 'Content' --output text | base64 -d | cut -d, -f1,4,9,11,14,16 ``` 2. The output of this command will produce a table similar to the following: ``` user,password_enabled,access_key_1_active,access_key_1_last_used_date,access_key_2_active,access_key_2_last_used_date elise,false,true,2015-04-16T15:14:00+00:00,false,N/A brandon,true,true,N/A,false,N/A rakesh,false,false,N/A,false,N/A helene,false,true,2015-11-18T17:47:00+00:00,false,N/A paras,true,true,2016-08-28T12:04:00+00:00,true,2016-03-04T10:11:00+00:00 anitha,true,true,2016-06-08T11:43:00+00:00,true,N/A ``` 3. For any user having `password_enabled` set to `true` AND `access_key_last_used_date` set to `N/A` refer to the remediation below.",
+ "AdditionalInformation": "Credential report does not appear to contain Key Creation Date",
+ "References": "https://docs.aws.amazon.com/cli/latest/reference/iam/delete-access-key.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_users_create.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.11",
+ "Description": "Ensure credentials unused for 45 days or more are disabled",
+ "Checks": [
+ "iam_user_accesskey_unused",
+ "iam_user_console_access_unused"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS IAM users can access AWS resources using different types of credentials, such as passwords or access keys. It is recommended that all credentials that have been unused for 45 days or more be deactivated or removed.",
+ "RationaleStatement": "Disabling or removing unnecessary credentials will reduce the window of opportunity for credentials associated with a compromised or abandoned account to be used.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** Perform the following to manage Unused Password (IAM user console access) 1. Login to the AWS Management Console: 2. Click `Services` 3. Click `IAM` 4. Click on `Users` 5. Click on `Security Credentials` 6. Select user whose `Console last sign-in` is greater than 45 days 7. Click `Security credentials` 8. In section `Sign-in credentials`, `Console password` click `Manage` 9. Under Console Access select `Disable` 10. Click `Apply` Perform the following to deactivate Access Keys: 1. Login to the AWS Management Console: 2. Click `Services` 3. Click `IAM` 4. Click on `Users` 5. Click on `Security Credentials` 6. Select any access keys that are over 45 days old and that have been used and - Click on `Make Inactive` 7. Select any access keys that are over 45 days old and that have not been used and - Click the X to `Delete`",
+ "AuditProcedure": "Perform the following to determine if unused credentials exist: **From Console:** 1. Login to the AWS Management Console 2. Click `Services` 3. Click `IAM` 4. Click on `Users` 5. Click the `Settings` (gear) icon. 6. Select `Console last sign-in`, `Access key last used`, and `Access Key Id` 7. Click on `Close` 8. Check and ensure that `Console last sign-in` is less than 45 days ago. **Note** - `Never` means the user has never logged in. 9. Check and ensure that `Access key age` is less than 45 days and that `Access key last used` does not say `None` If the user hasn't signed into the Console in the last 45 days or Access keys are over 45 days old refer to the remediation. **From Command Line:** **Download Credential Report:** 1. Run the following commands: ``` aws iam generate-credential-report aws iam get-credential-report --query 'Content' --output text | base64 -d | cut -d, -f1,4,5,6,9,10,11,14,15,16 | grep -v '^' ``` **Ensure unused credentials do not exist:** 2. For each user having `password_enabled` set to `TRUE` , ensure `password_last_used_date` is less than `45` days ago. - When `password_enabled` is set to `TRUE` and `password_last_used` is set to `No_Information` , ensure `password_last_changed` is less than 45 days ago. 3. For each user having an `access_key_1_active` or `access_key_2_active` to `TRUE` , ensure the corresponding `access_key_n_last_used_date` is less than `45` days ago. - When a user having an `access_key_x_active` (where x is 1 or 2) to `TRUE` and corresponding access_key_x_last_used_date is set to `N/A`, ensure `access_key_x_last_rotated` is less than 45 days ago.",
+ "AdditionalInformation": " is excluded in the audit since the root account should not be used for day-to-day business and would likely be unused for more than 45 days.",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#remove-credentials:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_finding-unused.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_passwords_admin-change-user.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.12",
+ "Description": "Ensure there is only one active access key for any single IAM user",
+ "Checks": [
+ "iam_user_two_active_access_key"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Access keys are long-term credentials for an IAM user or the AWS account 'root' user. You can use access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK)",
+ "RationaleStatement": "One of the best ways to protect your account is to not allow users to have multiple access keys.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Sign in to the AWS Management Console and navigate to IAM dashboard at `https://console.aws.amazon.com/iam/`. 2. In the left navigation panel, choose `Users`. 3. Click on the IAM user name that you want to examine. 4. On the IAM user configuration page, select `Security Credentials` tab. 5. In `Access Keys` section, choose one access key that is less than 90 days old. This should be the only active key used by this IAM user to access AWS resources programmatically. Test your application(s) to make sure that the chosen access key is working. 6. In the same `Access Keys` section, identify your non-operational access keys (other than the chosen one) and deactivate it by clicking the `Make Inactive` link. 7. If you receive the `Change Key Status` confirmation box, click `Deactivate` to switch off the selected key. 8. Repeat steps 3-7 for each IAM user in your AWS account. **From Command Line:** 1. Using the IAM user and access key information provided in the `Audit CLI`, choose one access key that is less than 90 days old. This should be the only active key used by this IAM user to access AWS resources programmatically. Test your application(s) to make sure that the chosen access key is working. 2. Run the `update-access-key` command below using the IAM user name and the non-operational access key IDs to deactivate the unnecessary key(s). Refer to the Audit section to identify the unnecessary access key ID for the selected IAM user **Note** - the command does not return any output: ``` aws iam update-access-key --access-key-id --status Inactive --user-name ``` 3. To confirm that the selected access key pair has been successfully `deactivated` run the `list-access-keys` audit command again for that IAM User: ``` aws iam list-access-keys --user-name ``` - The command output should expose the metadata for each access key associated with the IAM user. If the non-operational key pair(s) `Status` is set to `Inactive`, the key has been successfully deactivated and the IAM user access configuration adheres now to this recommendation. 4. Repeat steps 1-3 for each IAM user in your AWS account.",
+ "AuditProcedure": "**From Console:** 1. Sign in to the AWS Management Console and navigate to IAM dashboard at `https://console.aws.amazon.com/iam/`. 2. In the left navigation panel, choose `Users`. 3. Click on the IAM user name that you want to examine. 4. On the IAM user configuration page, select `Security Credentials` tab. 5. Under `Access Keys` section, in the Status column, check the current status for each access key associated with the IAM user. If the selected IAM user has more than one access key activated, then the user's access configuration does not adhere to security best practices, and the risk of accidental exposures increases. - Repeat steps 3-5 for each IAM user in your AWS account. **From Command Line:** 1. Run `list-users` command to list all IAM users within your account: ``` aws iam list-users --query Users[*].UserName ``` The command output should return an array that contains all your IAM user names. 2. Run `list-access-keys` command using the IAM user name list to return the current status of each access key associated with the selected IAM user: ``` aws iam list-access-keys --user-name ``` The command output should expose the metadata `(Username, AccessKeyId, Status, CreateDate)` for each access key on that user account. 3. Check the `Status` property value for each key returned to determine each key's current state. If the `Status` property value for more than one IAM access key is set to `Active`, the user access configuration does not adhere to this recommendation; refer to the remediation below. - Repeat steps 2 and 3 for each IAM user in your AWS account.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/general/latest/gr/aws-access-keys-best-practices.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.13",
+ "Description": "Ensure access keys are rotated every 90 days or less",
+ "Checks": [
+ "iam_rotate_access_key_90_days"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Access keys consist of an access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. AWS users need their own access keys to make programmatic calls to AWS from the AWS Command Line Interface (AWS CLI), Tools for Windows PowerShell, the AWS SDKs, or direct HTTP calls using the APIs for individual AWS services. It is recommended that all access keys be rotated regularly.",
+ "RationaleStatement": "Rotating access keys will reduce the window of opportunity for an access key that is associated with a compromised or terminated account to be used. Access keys should be rotated to ensure that data cannot be accessed with an old key which might have been lost, cracked, or stolen.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to rotate access keys: **From Console:** 1. Go to the Management Console (https://console.aws.amazon.com/iam) 2. Click on `Users` 3. Click on `Security Credentials` 4. As an Administrator - Click on `Make Inactive` for keys that have not been rotated in `90` Days 5. As an IAM User - Click on `Make Inactive` or `Delete` for keys which have not been rotated or used in `90` Days 6. Click on `Create Access Key` 7. Update programmatic calls with new Access Key credentials **From Command Line:** 1. While the first access key is still active, create a second access key, which is active by default. Run the following command: ``` aws iam create-access-key ``` At this point, the user has two active access keys. 2. Update all applications and tools to use the new access key. 3. Determine whether the first access key is still in use by using this command: ``` aws iam get-access-key-last-used ``` 4. One approach is to wait several days and then check the old access key for any use before proceeding. Even if step 3 indicates no use of the old key, it is recommended that you do not immediately delete the first access key. Instead, change the state of the first access key to Inactive using this command: ``` aws iam update-access-key ``` 5. Use only the new access key to confirm that your applications are working. Any applications and tools that still use the original access key will stop working at this point because they no longer have access to AWS resources. If you find such an application or tool, you can switch its state back to Active to reenable the first access key. Then return to step 2 and update this application to use the new key. 6. After you wait some period of time to ensure that all applications and tools have been updated, you can delete the first access key with this command: ``` aws iam delete-access-key ```",
+ "AuditProcedure": "Perform the following to determine if access keys are rotated as prescribed: **From Console:** 1. Go to the Management Console (https://console.aws.amazon.com/iam) 2. Click on `Users` 3. For each user, go to `Security Credentials` 4. Review each key under `Access Keys` 5. For each key that shows `Active` for status, ensure that `Created` is less than or equal to `90 days ago`. **From Command Line:** ``` aws iam generate-credential-report aws iam get-credential-report --query 'Content' --output text | base64 -d ``` The `access_key_1_last_rotated` and the `access_key_2_last_rotated` fields in this file notes the date and time, in ISO 8601 date-time format, when the user's access key was created or last changed. If the user does not have an active access key, the value in this field is N/A (not applicable).",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html#rotate-credentials:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_finding-unused.html:https://docs.aws.amazon.com/general/latest/gr/managing-aws-access-keys.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.14",
+ "Description": "Ensure IAM users receive permissions only through groups",
+ "Checks": [
+ "iam_policy_attached_only_to_group_or_roles"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "IAM users are granted access to services, functions, and data through IAM policies. There are four ways to define policies for a user: 1) Edit the user policy directly, also known as an inline or user policy; 2) attach a policy directly to a user; 3) add the user to an IAM group that has an attached policy; 4) add the user to an IAM group that has an inline policy. Only the third implementation is recommended.",
+ "RationaleStatement": "Assigning IAM policies solely through groups unifies permissions management into a single, flexible layer that is consistent with organizational functional roles. By unifying permissions management, the likelihood of excessive permissions is reduced.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to create an IAM group and assign a policy to it: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. In the navigation pane, click `Groups` and then click `Create New Group`. 3. In the `Group Name` box, type the name of the group and then click `Next Step`. 4. In the list of policies, select the check box for each policy that you want to apply to all members of the group. Then click `Next Step`. 5. Click `Create Group`. Perform the following to add a user to a given group: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. In the navigation pane, click `Groups`. 3. Select the group to add a user to. 4. Click `Add Users To Group`. 5. Select the users to be added to the group. 6. Click `Add Users`. Perform the following to remove a direct association between a user and policy: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. In the left navigation pane, click on Users. 3. For each user: - Select the user - Click on the `Permissions` tab - Expand `Permissions policies` - Click `X` for each policy; then click Detach or Remove (depending on policy type)",
+ "AuditProcedure": "Perform the following to determine if an inline policy is set or a policy is directly attached to users: 1. Run the following to get a list of IAM users: ``` aws iam list-users --query 'Users[*].UserName' --output text ``` 2. For each user returned, run the following command to determine if any policies are attached to them: ``` aws iam list-attached-user-policies --user-name aws iam list-user-policies --user-name ``` 3. If any policies are returned, the user has an inline policy or direct policy attachment.",
+ "AdditionalInformation": "",
+ "References": "http://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html:http://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.15",
+ "Description": "Ensure IAM policies that allow full *:* administrative privileges are not attached",
+ "Checks": [
+ "iam_aws_attached_policy_no_administrative_privileges",
+ "iam_customer_attached_policy_no_administrative_privileges"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "IAM policies are the means by which privileges are granted to users, groups, or roles. It is recommended and considered standard security advice to grant least privilegeโthat is, granting only the permissions required to perform a task. Determine what users need to do, and then craft policies for them that allow the users to perform only those tasks, instead of granting full administrative privileges.",
+ "RationaleStatement": "It's more secure to start with a minimum set of permissions and grant additional permissions as necessary, rather than starting with permissions that are too lenient and then attempting to tighten them later. Providing full administrative privileges instead of restricting access to the minimum set of permissions required for the user exposes resources to potentially unwanted actions. IAM policies that contain a statement with `Effect: Allow` and `Action: *` over `Resource: *` should be removed.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** Perform the following to detach the policy that has full administrative privileges: 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/). 2. In the navigation pane, click Policies and then search for the policy name found in the audit step. 3. Select the policy that needs to be deleted. 4. In the policy action menu, select `Detach`. 5. Select all Users, Groups, Roles that have this policy attached. 6. Click `Detach Policy`. 7. Select the newly detached policy and select `Delete`. **From Command Line:** Perform the following to detach the policy that has full administrative privileges as found in the audit step: 1. Lists all IAM users, groups, and roles that the specified managed policy is attached to. ``` aws iam list-entities-for-policy --policy-arn ``` 2. Detach the policy from all IAM Users: ``` aws iam detach-user-policy --user-name --policy-arn ``` 3. Detach the policy from all IAM Groups: ``` aws iam detach-group-policy --group-name --policy-arn ``` 4. Detach the policy from all IAM Roles: ``` aws iam detach-role-policy --role-name --policy-arn ```",
+ "AuditProcedure": "Perform the following to determine existing policies: **From Command Line:** 1. Run the following to get a list of IAM policies: ``` aws iam list-policies --only-attached --output text ``` 2. For each policy returned, run the following command to determine if any policy is allowing full administrative privileges on the account: ``` aws iam get-policy-version --policy-arn --version-id ``` 3. In the output, the policy should not contain any Statement block with `Effect: Allow` and `Action` set to `*` and `Resource` set to `*`.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html:https://docs.aws.amazon.com/cli/latest/reference/iam/index.html#cli-aws-iam",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.16",
+ "Description": "Ensure a support role has been created to manage incidents with AWS Support",
+ "Checks": [
+ "iam_support_role_created"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS provides a support center that can be used for incident notification and response, as well as technical support and customer services. Create an IAM Role, with the appropriate policy assigned, to allow authorized users to manage incidents with AWS Support.",
+ "RationaleStatement": "By implementing least privilege for access control, an IAM Role will require an appropriate IAM Policy to allow Support Center Access in order to manage Incidents with AWS Support.",
+ "ImpactStatement": "All AWS Support plans include an unlimited number of account and billing support cases, with no long-term contracts. Support billing calculations are performed on a per-account basis for all plans. Enterprise Support plan customers have the option to include multiple enabled accounts in an aggregated monthly billing calculation. Monthly charges for the Business and Enterprise support plans are based on each month's AWS usage charges, subject to a monthly minimum, billed in advance. When assigning rights, keep in mind that other policies may grant access to Support as well. This may include AdministratorAccess and other policies including customer managed policies. Utilizing the AWS managed 'AWSSupportAccess' role is one simple way of ensuring that this permission is properly granted. To better support the principle of separation of duties, it would be best to only attach this role where necessary.",
+ "RemediationProcedure": "**From Command Line:** 1. Create an IAM role for managing incidents with AWS: - Create a trust relationship policy document that allows to manage AWS incidents, and save it locally as /tmp/TrustPolicy.json: ``` { Version: 2012-10-17, Statement: [ { Effect: Allow, Principal: { AWS: }, Action: sts:AssumeRole } ] } ``` 2. Create the IAM role using the above trust policy: ``` aws iam create-role --role-name --assume-role-policy-document file:///tmp/TrustPolicy.json ``` 3. Attach 'AWSSupportAccess' managed policy to the created IAM role: ``` aws iam attach-role-policy --policy-arn arn:aws:iam::aws:policy/AWSSupportAccess --role-name ```",
+ "AuditProcedure": "**From Command Line:** 1. List IAM policies, filter for the 'AWSSupportAccess' managed policy, and note the Arn element value: ``` aws iam list-policies --query Policies[?PolicyName == 'AWSSupportAccess'] ``` 2. Check if the 'AWSSupportAccess' policy is attached to any role: ``` aws iam list-entities-for-policy --policy-arn arn:aws:iam::aws:policy/AWSSupportAccess ``` 3. In the output, ensure `PolicyRoles` does not return empty. 'Example: Example: PolicyRoles: [ ]' If it returns empty refer to the remediation below.",
+ "AdditionalInformation": "AWSSupportAccess policy is a global AWS resource. It has same ARN as `arn:aws:iam::aws:policy/AWSSupportAccess` for every account.",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html:https://aws.amazon.com/premiumsupport/pricing/:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/list-policies.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/attach-role-policy.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/list-entities-for-policy.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.17",
+ "Description": "Ensure IAM instance roles are used for AWS resource access from instances",
+ "Checks": [
+ "ec2_instance_profile_attached"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS access from within AWS instances can be done by either encoding AWS keys into AWS API calls or by assigning the instance to a role which has an appropriate permissions policy for the required access. AWS Access means accessing the APIs of AWS in order to access AWS resources or manage AWS account resources.",
+ "RationaleStatement": "AWS IAM roles reduce the risks associated with sharing and rotating credentials that can be used outside of AWS itself. Compromised credentials can be used from outside the AWS account to which they provide access. In contrast, to leverage role permissions, an attacker would need to gain and maintain access to a specific instance to use the privileges associated with it. Additionally, if credentials are encoded into compiled applications or other hard-to-change mechanisms, they are even less likely to be properly rotated due to the risks of service disruption. As time passes, credentials that cannot be rotated are more likely to be known by an increasing number of individuals who no longer work for the organization that owns the credentials.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Sign in to the AWS Management Console and navigate to the EC2 dashboard at `https://console.aws.amazon.com/ec2/`. 2. In the left navigation panel, choose `Instances`. 3. Select the EC2 instance you want to modify. 4. Click `Actions`. 5. Click `Security`. 6. Click `Modify IAM role`. 7. Click `Create new IAM role` if a new IAM role is required. 8. Select the IAM role you want to attach to your instance in the `IAM role` dropdown. 9. Click `Update IAM role`. 10. Repeat steps 3 to 9 for each EC2 instance in your AWS account that requires an IAM role to be attached. **From Command Line:** 1. Run the `describe-instances` command to list all EC2 instance IDs in the selected AWS region: ``` aws ec2 describe-instances --region --query 'Reservations[*].Instances[*].InstanceId' ``` 2. Run the `associate-iam-instance-profile` command to attach an instance profile (which is attached to an IAM role) to the EC2 instance: ``` aws ec2 associate-iam-instance-profile --region --instance-id --iam-instance-profile Name=Instance-Profile-Name ``` 3. Run the `describe-instances` command again for the recently modified EC2 instance. The command output should return the instance profile ARN and ID: ``` aws ec2 describe-instances --region --instance-id --query 'Reservations[*].Instances[*].IamInstanceProfile' ``` 4. Repeat steps 2 and 3 for each EC2 instance in your AWS account that requires an IAM role to be attached.",
+ "AuditProcedure": "First, check if the instance has any API secrets stored using Secret Scanning. Currently, AWS does not have a solution for this. You can use open-source tools like TruffleHog to scan for secrets in the EC2 instance. If a secret is found, then assign the role to the instance. **From Console:** 1. Sign in to the AWS Management Console and navigate to the EC2 dashboard at `https://console.aws.amazon.com/ec2/`. 2. In the left navigation panel, choose `Instances`. 3. Select the EC2 instance you want to examine. 4. Select `Actions`. 5. Select `View details`. 6. Select `Security` in the lower panel. - If the value for **Instance profile arn** is an instance profile ARN, then an instance profile (that contains an IAM role) is attached. - If the value for **IAM Role** is blank, no role is attached. - If the value for **IAM Role** contains a role, a role is attached. - If the value for **IAM Role** is No roles attached to instance profile: , then an instance profile is attached to the instance, but it does not contain an IAM role. 7. Repeat steps 3 to 6 for each EC2 instance in your AWS account. **From Command Line:** 1. Run the `describe-instances` command to list all EC2 instance IDs in the selected AWS region: ``` aws ec2 describe-instances --region --query 'Reservations[*].Instances[*].InstanceId' ``` 2. Run the `describe-instances` command again for each EC2 instance using the `IamInstanceProfile` identifier in the query filter to check if an IAM role is attached: ``` aws ec2 describe-instances --region --instance-id --query 'Reservations[*].Instances[*].IamInstanceProfile' ``` 3. If an IAM role is attached, the command output will show the IAM instance profile ARN and ID. 4. Repeat steps 2 and 3 for each EC2 instance in your AWS account.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-ec2.html:https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.18",
+ "Description": "Ensure that all expired SSL/TLS certificates stored in AWS IAM are removed",
+ "Checks": [
+ "iam_no_expired_server_certificates_stored"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "To enable HTTPS connections to your website or application in AWS, you need an SSL/TLS server certificate. You can use AWS Certificate Manager (ACM) or IAM to store and deploy server certificates. Use IAM as a certificate manager only when you must support HTTPS connections in a region that is not supported by ACM. IAM securely encrypts your private keys and stores the encrypted version in IAM SSL certificate storage. IAM supports deploying server certificates in all regions, but you must obtain your certificate from an external provider for use with AWS. You cannot upload an ACM certificate to IAM. Additionally, you cannot manage your certificates from the IAM Console.",
+ "RationaleStatement": "Removing expired SSL/TLS certificates eliminates the risk that an invalid certificate will be deployed accidentally to a resource such as AWS Elastic Load Balancer (ELB), which can damage the credibility of the application/website behind the ELB. As a best practice, it is recommended to delete expired certificates.",
+ "ImpactStatement": "Deleting the certificate could have implications for your application if you are using an expired server certificate with Elastic Load Balancing, CloudFront, etc. You must make configurations in the respective services to ensure there is no interruption in application functionality.",
+ "RemediationProcedure": "**From Console:** Removing expired certificates via AWS Management Console is not currently supported. To delete SSL/TLS certificates stored in IAM through the AWS API, use the Command Line Interface (CLI). **From Command Line:** To delete an expired certificate, run the following command by replacing with the name of the certificate to delete: ``` aws iam delete-server-certificate --server-certificate-name ``` When the preceding command is successful, it does not return any output.",
+ "AuditProcedure": "**From Console:** Getting the certificate expiration information via the AWS Management Console is not currently supported. To request information about the SSL/TLS certificates stored in IAM through the AWS API, use the Command Line Interface (CLI). **From Command Line:** Run the `list-server-certificates` command to list all the IAM-stored server certificates: ``` aws iam list-server-certificates ``` The command output should return an array that contains all the SSL/TLS certificates currently stored in IAM and their metadata (name, ID, expiration date, etc): ``` { ServerCertificateMetadataList: [ { ServerCertificateId: EHDGFRW7EJFYTE88D, ServerCertificateName: MyServerCertificate, Expiration: 2018-07-10T23:59:59Z, Path: /, Arn: arn:aws:iam::012345678910:server-certificate/MySSLCertificate, UploadDate: 2018-06-10T11:56:08Z } ] } ``` Verify the `ServerCertificateName` and `Expiration` parameter value (expiration date) for each SSL/TLS certificate returned by the list-server-certificates command and determine if there are any expired server certificates currently stored in AWS IAM. If so, use the AWS API to remove them. If this command returns: ``` { { ServerCertificateMetadataList: [] } ``` This means that there are no expired certificates; it **does not** mean that no certificates exist.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_server-certs.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/iam/delete-server-certificate.html",
+ "DefaultValue": "By default, expired certificates will not be deleted."
+ }
+ ]
+ },
+ {
+ "Id": "1.19",
+ "Description": "Ensure that IAM External Access Analyzer is enabled for all regions",
+ "Checks": [
+ "accessanalyzer_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Enable the IAM External Access Analyzer regarding all resources in each active AWS region. IAM Access Analyzer is a technology introduced at AWS reinvent 2019. After the Analyzer is enabled in IAM, scan results are displayed on the console showing the accessible resources. Scans show resources that other accounts and federated users can access, such as KMS keys and IAM roles. The results allow you to determine whether an unintended user is permitted, making it easier for administrators to monitor least privilege access. Access Analyzer analyzes only the policies that are applied to resources in the same AWS Region.",
+ "RationaleStatement": "AWS IAM External Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, that are shared with external entities. This allows you to identify unintended access to your resources and data. Access Analyzer identifies resources that are shared with external principals by using logic-based reasoning to analyze the resource-based policies in your AWS environment. IAM External Access Analyzer continuously monitors all policies for S3 buckets, IAM roles, KMS (Key Management Service) keys, AWS Lambda functions, Amazon SQS (Simple Queue Service) queues and more",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** Perform the following to enable IAM Access Analyzer for IAM policies: 1. Open the IAM console at `https://console.aws.amazon.com/iam/.` 2. Choose `Access analyzer`. 3. Choose `Create external access analyzer`. 4. On the `Create analyzer` page, confirm that the `Region` displayed is the Region where you want to enable Access Analyzer. 5. Optionally enter a name for the analyzer. 6. Optionally add any tags that you want to apply to the analyzer. 7. Choose `Create Analyzer`. 8. Repeat these step for each active region. **From Command Line:** Run the following command: ``` aws accessanalyzer create-analyzer --analyzer-name --type ``` Repeat this command for each active region. **Note:** The IAM Access Analyzer is successfully configured only when the account you use has the necessary permissions.",
+ "AuditProcedure": "**From Console:** 1. Open the IAM console at `https://console.aws.amazon.com/iam/` 2. Under `Access analyzer` choose `External Access` 3. Ensure that at least one analyzer is present 4. Ensure that the `STATUS` is set to `Active` 5. Repeat these steps for each active region **From Command Line:** 1. Run the following command: ``` aws accessanalyzer list-analyzers type -- | grep status ``` 2. Ensure that at least one Analyzer's `status` is set to `ACTIVE`. 3. Repeat the steps above for each active region. If an Access Analyzer is not listed for each region or the status is not set to active refer to the remediation procedure below.",
+ "AdditionalInformation": "Some regions in AWS are enabled by default, while others are disabled by default. Regions introduced prior to March 20, 2019, are enabled by default and cannot be disabled. Regions introduced afterward can be disabled by default. For more information on managing AWS Regions, please see AWS's [documentation on managing AWS Regions](https://docs.aws.amazon.com/general/latest/gr/rande-manage.html).",
+ "References": "https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html:https://docs.aws.amazon.com/IAM/latest/UserGuide/access-analyzer-getting-started.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/accessanalyzer/get-analyzer.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/accessanalyzer/create-analyzer.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.20",
+ "Description": "Ensure IAM users are managed centrally via identity federation or AWS Organizations for multi-account environments",
+ "Checks": [
+ "iam_check_saml_providers_sts"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Manual",
+ "Description": "In multi-account environments, IAM user centralization facilitates greater user control. User access beyond the initial account is then provided via role assumption. Centralization of users can be accomplished through federation with an external identity provider or through the use of AWS Organizations.",
+ "RationaleStatement": "Centralizing IAM user management to a single identity store reduces complexity and thus the likelihood of access management errors.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "The remediation procedure will vary based on each individual organization's implementation of identity federation and/or AWS Organizations, with the acceptance criteria that no non-service IAM users and non-root accounts are present outside the account providing centralized IAM user management.",
+ "AuditProcedure": "For multi-account AWS environments with an external identity provider: 1. Determine the master account for identity federation or IAM user management 2. Login to that account through the AWS Management Console 3. Click `Services` 4. Click `IAM` 5. Click `Identity providers` 6. Verify the configuration For multi-account AWS environments with an external identity provider, as well as for those implementing AWS Organizations without an external identity provider: 1. Determine all accounts that should not have local users present 2. Log into the AWS Management Console 3. Switch role into each identified account 4. Click `Services` 5. Click `IAM` 6. Click `Users` 7. Confirm that no IAM users representing individuals are present",
+ "AdditionalInformation": "",
+ "References": "",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "1.21",
+ "Description": "Ensure access to AWSCloudShellFullAccess is restricted",
+ "Checks": [
+ "iam_policy_cloudshell_admin_not_attached"
+ ],
+ "Attributes": [
+ {
+ "Section": "1 Identity and Access Management",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "AWS CloudShell is a convenient way of running CLI commands against AWS services; a managed IAM policy ('AWSCloudShellFullAccess') provides full access to CloudShell, which allows file upload and download capability between a user's local system and the CloudShell environment. Within the CloudShell environment, a user has sudo permissions and can access the internet. Therefore, it is feasible to install file transfer software, for example, and move data from CloudShell to external internet servers.",
+ "RationaleStatement": "Access to this policy should be restricted, as it presents a potential channel for data exfiltration by malicious cloud admins who are given full permissions to the service. AWS documentation describes how to create a more restrictive IAM policy that denies file transfer permissions.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console** 1. Open the IAM console at https://console.aws.amazon.com/iam/ 2. In the left pane, select Policies 3. Search for and select AWSCloudShellFullAccess 4. On the Entities attached tab, for each item, check the box and select Detach",
+ "AuditProcedure": "**From Console** 1. Open the IAM console at https://console.aws.amazon.com/iam/ 2. In the left pane, select Policies 3. Search for and select AWSCloudShellFullAccess 4. On the Entities attached tab, ensure that there are no entities using this policy **From Command Line** 1. List IAM policies, filter for the 'AWSCloudShellFullAccess' managed policy, and note the Arn element value: ``` aws iam list-policies --query Policies[?PolicyName == 'AWSCloudShellFullAccess'] ``` 2. Check if the 'AWSCloudShellFullAccess' policy is attached to any role: ``` aws iam list-entities-for-policy --policy-arn arn:aws:iam::aws:policy/AWSCloudShellFullAccess ``` 3. In the output, ensure PolicyRoles returns empty. 'Example: Example: PolicyRoles: [ ]' If it does not return empty, refer to the remediation below. **Note:** Keep in mind that other policies may grant access.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/cloudshell/latest/userguide/sec-auth-with-identities.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.1.1",
+ "Description": "Ensure S3 Bucket Policy is set to deny HTTP requests",
+ "Checks": [
+ "s3_bucket_secure_transport_policy"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "At the Amazon S3 bucket level, you can configure permissions through a bucket policy, making the objects accessible only through HTTPS.",
+ "RationaleStatement": "By default, Amazon S3 allows both HTTP and HTTPS requests. To ensure that access to Amazon S3 objects is only permitted through HTTPS, you must explicitly deny HTTP requests. Bucket policies that allow HTTPS requests without explicitly denying HTTP requests will not comply with this recommendation.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Select the check box next to the Bucket. 3. Click on 'Permissions'. 4. Click 'Bucket Policy'. 5. Add either of the following to the existing policy, filling in the required information: ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: arn:aws:s3:::/*, Condition: { Bool: { aws:SecureTransport: false } } } ``` or ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: [ arn:aws:s3:::, arn:aws:s3:::/* ], Condition: { NumericLessThan: { s3:TlsVersion: 1.2 } } } ``` 6. Save 7. Repeat for all the buckets in your AWS account that contain sensitive data. **From Console** Using AWS Policy Generator: 1. Repeat steps 1-4 above. 2. Click on `Policy Generator` at the bottom of the Bucket Policy Editor. 3. Select Policy Type `S3 Bucket Policy`. 4. Add Statements: - `Effect` = Deny - `Principal` = * - `AWS Service` = Amazon S3 - `Actions` = * - `Amazon Resource Name` = 5. Generate Policy. 6. Copy the text and add it to the Bucket Policy. **From Command Line:** 1. Export the bucket policy to a json file: ``` aws s3api get-bucket-policy --bucket --query Policy --output text > policy.json ``` 2. Modify the policy.json file by adding either of the following: ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: arn:aws:s3:::/*, Condition: { Bool: { aws:SecureTransport: false } } } ``` or ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: [ arn:aws:s3:::, arn:aws:s3:::/* ], Condition: { NumericLessThan: { s3:TlsVersion: 1.2 } } } ``` 3. Apply this modified policy back to the S3 bucket: ``` aws s3api put-bucket-policy --bucket --policy file://policy.json ```",
+ "AuditProcedure": "To allow access to HTTPS, you can use a bucket policy with the effect `allow` and a condition that checks for the key `aws:SecureTransport: true`. This means that HTTPS requests are allowed, but it does not deny HTTP requests. To explicitly deny HTTP access, ensure that there is also a bucket policy with the effect `deny` that contains the key `aws:SecureTransport: false`. You may also require TLS by setting a policy to deny any version lower than the one you wish to require, using the condition `NumericLessThan` and the key `s3:TlsVersion: 1.2`. **From Console:** 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Select the check box next to the Bucket. 3. Click on 'Permissions', then click on `Bucket Policy`. 4. Ensure that a policy is listed that matches either: ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: arn:aws:s3:::/*, Condition: { Bool: { aws:SecureTransport: false } } } ``` or ``` { Sid: , Effect: Deny, Principal: *, Action: s3:*, Resource: [ arn:aws:s3:::, arn:aws:s3:::/* ], Condition: { NumericLessThan: { s3:TlsVersion: 1.2 } } } ``` `` and `` will be specific to your account, and TLS version will be site/policy specific to your organisation. 5. Repeat for all the buckets in your AWS account. **From Command Line:** 1. List all of the S3 Buckets ``` aws s3 ls ``` 2. Using the list of buckets, run this command on each of them: ``` aws s3api get-bucket-policy --bucket | grep aws:SecureTransport ``` or ``` aws s3api get-bucket-policy --bucket | grep s3:TlsVersion ``` NOTE : If an error is thrown by the CLI, it means no policy has been configured for the specified S3 bucket, and that by default it is allowing both HTTP and HTTPS requests. 3. Confirm that `aws:SecureTransport` is set to false (such as `aws:SecureTransport:false`) or that `s3:TlsVersion` has a site-specific value. 4. Confirm that the policy line has Effect set to Deny 'Effect:Deny'",
+ "AdditionalInformation": "",
+ "References": "https://aws.amazon.com/premiumsupport/knowledge-center/s3-bucket-policy-for-config-rule/:https://aws.amazon.com/blogs/security/how-to-use-bucket-policies-and-apply-defense-in-depth-to-help-secure-your-amazon-s3-data/:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3api/get-bucket-policy.html",
+ "DefaultValue": "Both HTTP and HTTPS requests are allowed."
+ }
+ ]
+ },
+ {
+ "Id": "2.1.2",
+ "Description": "Ensure MFA Delete is enabled on S3 buckets",
+ "Checks": [
+ "s3_bucket_no_mfa_delete"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Manual",
+ "Description": "Once MFA Delete is enabled on your sensitive and classified S3 bucket, it requires the user to provide two forms of authentication.",
+ "RationaleStatement": "Adding MFA delete to an S3 bucket requires additional authentication when you change the version state of your bucket or delete an object version, adding another layer of security in the event your security credentials are compromised or unauthorized access is granted.",
+ "ImpactStatement": "Enabling MFA delete on an S3 bucket could require additional administrator oversight. Enabling MFA delete may impact other services that automate the creation and/or deletion of S3 buckets.",
+ "RemediationProcedure": "Perform the steps below to enable MFA delete on an S3 bucket: **Note:** - You cannot enable MFA Delete using the AWS Management Console; you must use the AWS CLI or API. - You must use your 'root' account to enable MFA Delete on S3 buckets. **From Command line:** 1. Run the s3api `put-bucket-versioning` command: ``` aws s3api put-bucket-versioning --profile my-root-profile --bucket Bucket_Name --versioning-configuration Status=Enabled,MFADelete=Enabled --mfa โarn:aws:iam::aws_account_id:mfa/root-account-mfa-device passcodeโ ```",
+ "AuditProcedure": "Perform the steps below to confirm that MFA delete is configured on an S3 bucket: **From Console:** 1. Login to the S3 console at `https://console.aws.amazon.com/s3/`. 2. Click the `check` box next to the name of the bucket you want to confirm. 3. In the window under `Properties`: - Confirm that Versioning is `Enabled` - Confirm that MFA Delete is `Enabled` **From Command Line:** 1. Run the `get-bucket-versioning` command: ``` aws s3api get-bucket-versioning --bucket my-bucket ``` Example output: ``` Enabled Enabled ``` If the console or CLI output does not show that Versioning and MFA Delete are `enabled`, please refer to the remediation below.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonS3/latest/dev/Versioning.html#MultiFactorAuthenticationDelete:https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMFADelete.html:https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/:https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_lost-or-broken.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.1.3",
+ "Description": "Ensure all data in Amazon S3 has been discovered, classified, and secured when necessary",
+ "Checks": [
+ "macie_is_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Manual",
+ "Description": "Amazon S3 buckets can contain sensitive data that, for security purposes, should be discovered, monitored, classified, and protected. Macie, along with other third-party tools, can automatically provide an inventory of Amazon S3 buckets.",
+ "RationaleStatement": "Using a cloud service or third-party software to continuously monitor and automate the process of data discovery and classification for S3 buckets through machine learning and pattern matching is a strong defense in protecting that information. Amazon Macie is a fully managed data security and privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS.",
+ "ImpactStatement": "There is a cost associated with using Amazon Macie, and there is typically a cost associated with third-party tools that perform similar processes and provide protection.",
+ "RemediationProcedure": "Perform the steps below to enable and configure Amazon Macie: **From Console:** 1. Log on to the Macie console at `https://console.aws.amazon.com/macie/`. 2. Click `Get started`. 3. Click `Enable Macie`. Set up a repository for sensitive data discovery results: 1. In the left pane, under Settings, click `Discovery results`. 2. Make sure `Create bucket` is selected. 3. Create a bucket and enter a name for it. The name must be unique across all S3 buckets, and it must start with a lowercase letter or a number. 4. Click `Advanced`. 5. For block all public access, make sure `Yes` is selected. 6. For KMS encryption, specify the AWS KMS key that you want to use to encrypt the results. The key must be a symmetric customer master key (CMK) that is in the same region as the S3 bucket. 7. Click `Save`. Create a job to discover sensitive data: 1. In the left pane, click `S3 buckets`. Macie displays a list of all the S3 buckets for your account. 2. Check the box for each bucket that you want Macie to analyze as part of the job. 3. Click `Create job`. 4. Click `Quick create`. 5. For the Name and Description step, enter a name and, optionally, a description of the job. 6. Click `Next`. 7. For the Review and create step, click `Submit`. Review your findings: 1. In the left pane, click `Findings`. 2. To view the details of a specific finding, choose any field other than the check box for the finding. If you are using a third-party tool to manage and protect your S3 data, follow the vendor documentation for implementing and configuring that tool.",
+ "AuditProcedure": "Perform the following steps to determine if Macie is running: **From Console:** 1. Login to the Macie console at https://console.aws.amazon.com/macie/. 2. In the left hand pane, click on `By job` under findings. 3. Confirm that you have a job set up for your S3 buckets. When you log into the Macie console, if you are not taken to the summary page and do not have a job set up and running, then refer to the remediation procedure below. If you are using a third-party tool to manage and protect your S3 data, you meet this recommendation.",
+ "AdditionalInformation": "",
+ "References": "https://aws.amazon.com/macie/getting-started/:https://docs.aws.amazon.com/workspaces/latest/adminguide/data-protection.html:https://docs.aws.amazon.com/macie/latest/user/data-classification.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.1.4",
+ "Description": "Ensure that S3 is configured with 'Block Public Access' enabled",
+ "Checks": [
+ "s3_bucket_level_public_access_block",
+ "s3_account_level_public_access_blocks"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.1 Simple Storage Service (S3)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Amazon S3 provides `Block public access (bucket settings)` and `Block public access (account settings)` to help you manage public access to Amazon S3 resources. By default, S3 buckets and objects are created with public access disabled. However, an IAM principal with sufficient S3 permissions can enable public access at the bucket and/or object level. While enabled, `Block public access (bucket settings)` prevents an individual bucket and its contained objects from becoming publicly accessible. Similarly, `Block public access (account settings)` prevents all buckets and their contained objects from becoming publicly accessible across the entire account.",
+ "RationaleStatement": "Amazon S3 `Block public access (bucket settings)` prevents the accidental or malicious public exposure of data contained within the respective bucket(s). Amazon S3 `Block public access (account settings)` prevents the accidental or malicious public exposure of data contained within all buckets of the respective AWS account. Whether to block public access to all or some buckets is an organizational decision that should be based on data sensitivity, least privilege, and use case.",
+ "ImpactStatement": "When you apply Block Public Access settings to an account, the settings apply to all AWS regions globally. The settings may not take effect in all regions immediately or simultaneously, but they will eventually propagate to all regions.",
+ "RemediationProcedure": "**If utilizing Block Public Access (bucket settings)** **From Console:** 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Select the check box next to a bucket. 3. Click 'Edit public access settings'. 4. Click 'Block all public access' 5. Repeat for all the buckets in your AWS account that contain sensitive data. **From Command Line:** 1. List all of the S3 buckets: ``` aws s3 ls ``` 2. Enable Block Public Access on a specific bucket: ``` aws s3api put-public-access-block --bucket --public-access-block-configuration BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true ``` **If utilizing Block Public Access (account settings)** **From Console:** If the output reads `true` for the separate configuration settings, then Block Public Access is enabled on the account. 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Click `Block Public Access (account settings)`. 3. Click `Edit` to change the block public access settings for all the buckets in your AWS account. 4. Update the settings and click `Save`. For details about each setting, pause on the `i` icons. 5. When you're asked for confirmation, enter `confirm`. Then click `Confirm` to save your changes. **From Command Line:** To enable Block Public Access for this account, run the following command: ``` aws s3control put-public-access-block --public-access-block-configuration BlockPublicAcls=true, IgnorePublicAcls=true, BlockPublicPolicy=true, RestrictPublicBuckets=true --account-id ```",
+ "AuditProcedure": "**If utilizing Block Public Access (bucket settings)** **From Console:** 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Select the check box next to a bucket. 3. Click on 'Edit public access settings'. 4. Ensure that the block public access settings are configured appropriately for this bucket. 5. Repeat for all the buckets in your AWS account. **From Command Line:** 1. List all of the S3 buckets: ``` aws s3 ls ``` 2. Find the public access settings for a specific bucket: ``` aws s3api get-public-access-block --bucket ``` Output if Block Public Access is enabled: ``` { PublicAccessBlockConfiguration: { BlockPublicAcls: true, IgnorePublicAcls: true, BlockPublicPolicy: true, RestrictPublicBuckets: true } } ``` If the output reads `false` for the separate configuration settings, then proceed with the remediation. **If utilizing Block Public Access (account settings)** **From Console:** 1. Login to the AWS Management Console and open the Amazon S3 console using https://console.aws.amazon.com/s3/. 2. Choose `Block public access (account settings)`. 3. Ensure that the block public access settings are configured appropriately for your AWS account. **From Command Line:** To check the block public access settings for this account, run the following command: `aws s3control get-public-access-block --account-id --region ` Output if Block Public Access is enabled: ``` { PublicAccessBlockConfiguration: { IgnorePublicAcls: true, BlockPublicPolicy: true, BlockPublicAcls: true, RestrictPublicBuckets: true } } ``` If the output reads `false` for the separate configuration settings, then proceed with the remediation.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonS3/latest/user-guide/block-public-access-account.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.2.1",
+ "Description": "Ensure that encryption-at-rest is enabled for RDS instances",
+ "Checks": [
+ "rds_instance_storage_encrypted"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.2 Relational Database Service (RDS)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Amazon RDS encrypted DB instances use the industry-standard AES-256 encryption algorithm to encrypt your data on the server that hosts your Amazon RDS DB instances. After your data is encrypted, Amazon RDS handles the authentication of access and the decryption of your data transparently, with minimal impact on performance.",
+ "RationaleStatement": "Databases are likely to hold sensitive and critical data; therefore, it is highly recommended to implement encryption to protect your data from unauthorized access or disclosure. With RDS encryption enabled, the data stored on the instance's underlying storage, the automated backups, read replicas, and snapshots are all encrypted.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Login to the AWS Management Console and open the RDS dashboard at https://console.aws.amazon.com/rds/. 2. In the left navigation panel, click on `Databases`. 3. Select the Database instance that needs to be encrypted. 4. Click the `Actions` button placed at the top right and select `Take Snapshot`. 5. On the Take Snapshot page, enter the name of the database for which you want to take a snapshot in the `Snapshot Name` field and click on `Take Snapshot`. 6. Select the newly created snapshot, click the `Action` button placed at the top right, and select `Copy snapshot` from the Action menu. 7. On the Make Copy of DB Snapshot page, perform the following: - In the `New DB Snapshot Identifier` field, enter a name for the new snapshot. - Check `Copy Tags`. The new snapshot must have the same tags as the source snapshot. - Select `Yes` from the `Enable Encryption` dropdown list to enable encryption. You can choose to use the AWS default encryption key or a custom key from the Master Key dropdown list. 8. Click `Copy Snapshot` to create an encrypted copy of the selected instance's snapshot. 9. Select the new Snapshot Encrypted Copy and click the `Action` button located at the top right. Then, select the `Restore Snapshot` option from the Action menu. This will restore the encrypted snapshot to a new database instance. 10. On the Restore DB Instance page, enter a unique name for the new database instance in the DB Instance Identifier field. 11. Review the instance configuration details and click `Restore DB Instance`. 12. As the new instance provisioning process is completed, you can update the application configuration to refer to the endpoint of the new encrypted database instance. Once the database endpoint is changed at the application level, you can remove the unencrypted instance. **From Command Line:** 1. Run the `describe-db-instances` command to list the names of all RDS database instances in the selected AWS region. The command output should return database instance identifiers: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. Run the `create-db-snapshot` command to create a snapshot for a selected database instance. The command output will return the `new snapshot` with name DB Snapshot Name: ``` aws rds create-db-snapshot --region --db-snapshot-identifier --db-instance-identifier ``` 3. Now run the `list-aliases` command to list the KMS key aliases available in a specified region. The command output should return each `key alias currently available`. For our RDS encryption activation process, locate the ID of the AWS default KMS key: ``` aws kms list-aliases --region ``` 4. Run the `copy-db-snapshot` command using the default KMS key ID for the RDS instances returned earlier to create an encrypted copy of the database instance snapshot. The command output will return the `encrypted instance snapshot configuration`: ``` aws rds copy-db-snapshot --region --source-db-snapshot-identifier --target-db-snapshot-identifier --copy-tags --kms-key-id ``` 5. Run the `restore-db-instance-from-db-snapshot` command to restore the encrypted snapshot created in the previous step to a new database instance. If successful, the command output should return the configuration of the new encrypted database instance: ``` aws rds restore-db-instance-from-db-snapshot --region --db-instance-identifier --db-snapshot-identifier ``` 6. Run the `describe-db-instances` command to list all RDS database names available in the selected AWS region. The output will return the database instance identifier names. Select the encrypted database name that we just created, `db-name-encrypted`: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 7. Run the `describe-db-instances` command again using the RDS instance identifier returned earlier to determine if the selected database instance is encrypted. The command output should indicate that the encryption status is `True`: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].StorageEncrypted' ```",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console and open the RDS dashboard at https://console.aws.amazon.com/rds/. 2. In the navigation pane, under RDS dashboard, click `Databases`. 3. Select the RDS instance that you want to examine. 4. Click `Instance Name` to see details, then select the `Configuration` tab. 5. Under Configuration Details, in the Storage pane, search for the `Encryption Enabled` status. 6. If the current status is set to `Disabled`, encryption is not enabled for the selected RDS database instance. 7. Repeat steps 2 to 6 to verify the encryption status of other RDS instances in the same region. 8. Change the region from the top of the navigation bar, and repeat the audit steps for other regions. **From Command Line:** 1. Run the `describe-db-instances` command to list all the RDS database instance names available in the selected AWS region. The output will return each database instance identifier (name): ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. Run the `describe-db-instances` command again, using an RDS instance identifier returned from step 1, to determine if the selected database instance is encrypted. The output should return the encryption status `True` or `False`: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].StorageEncrypted' ``` 3. If the StorageEncrypted parameter value is `False`, encryption is not enabled for the selected RDS database instance. 4. Repeat steps 1 to 3 to audit each RDS instance, and change the region to verify RDS instances in other regions.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Overview.Encryption.html:https://aws.amazon.com/blogs/database/selecting-the-right-encryption-options-for-amazon-rds-and-amazon-aurora-database-engines/#:~:text=With%20RDS%2Dencrypted%20resources%2C%20data,transparent%20to%20your%20database%20engine.:https://aws.amazon.com/rds/features/security/",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.2.2",
+ "Description": "Ensure the Auto Minor Version Upgrade feature is enabled for RDS instances",
+ "Checks": [
+ "rds_instance_minor_version_upgrade_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.2 Relational Database Service (RDS)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Ensure that RDS database instances have the Auto Minor Version Upgrade flag enabled to automatically receive minor engine upgrades during the specified maintenance window. This way, RDS instances can obtain new features, bug fixes, and security patches for their database engines.",
+ "RationaleStatement": "AWS RDS will occasionally deprecate minor engine versions and provide new ones for upgrades. When the last version number within a release is replaced, the changed version is considered minor. With the Auto Minor Version Upgrade feature enabled, version upgrades will occur automatically during the specified maintenance window, allowing your RDS instances to receive new features, bug fixes, and security patches for their database engines.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Log in to the AWS management console and navigate to the RDS dashboard at https://console.aws.amazon.com/rds/. 2. In the left navigation panel, click `Databases`. 3. Select the RDS instance that you want to update. 4. Click on the `Modify` button located at the top right side. 5. On the `Modify DB Instance: ` page, In the `Maintenance` section, select `Auto minor version upgrade` and click the `Yes` radio button. 6. At the bottom of the page, click `Continue`, and check `Apply Immediately` to apply the changes immediately, or select `Apply during the next scheduled maintenance window` to avoid any downtime. 7. Review the changes and click `Modify DB Instance`. The instance status should change from available to modifying and back to available. Once the feature is enabled, the `Auto Minor Version Upgrade` status should change to `Yes`. **From Command Line:** 1. Run the `describe-db-instances` command to list all RDS database instance names available in the selected AWS region: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. The command output should return each database instance identifier. 3. Run the `modify-db-instance` command to modify the configuration of a selected RDS instance. This command will apply the changes immediately. Remove `--apply-immediately` to apply changes during the next scheduled maintenance window and avoid any downtime: ``` aws rds modify-db-instance --region --db-instance-identifier --auto-minor-version-upgrade --apply-immediately ``` 4. The command output should reveal the new configuration metadata for the RDS instance, including the `AutoMinorVersionUpgrade` parameter value. 5. Run the `describe-db-instances` command to check if the Auto Minor Version Upgrade feature has been successfully enabled: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].AutoMinorVersionUpgrade' ``` 6. The command output should return the feature's current status set to `true`, indicating that the feature is `enabled`, and that the minor engine upgrades will be applied to the selected RDS instance.",
+ "AuditProcedure": "**From Console:** 1. Log in to the AWS management console and navigate to the RDS dashboard at https://console.aws.amazon.com/rds/. 2. In the left navigation panel, click `Databases`. 3. Select the RDS instance that you want to examine. 4. Click on the `Maintenance and backups` panel. 5. Under the `Maintenance` section, search for the Auto Minor Version Upgrade status. - If the current status is `Disabled`, it means that the feature is not enabled, and the minor engine upgrades released will not be applied to the selected RDS instance. **From Command Line:** 1. Run the `describe-db-instances` command to list all RDS database names available in the selected AWS region: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. The command output should return each database instance identifier. 3. Run the `describe-db-instances` command again using a RDS instance identifier returned earlier to determine the Auto Minor Version Upgrade status for the selected instance: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].AutoMinorVersionUpgrade' ``` 4. The command output should return the current status of the feature. If the current status is set to `true`, the feature is enabled and the minor engine upgrades will be applied to the selected RDS instance.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_RDS_Managing.html:https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.Upgrading.html:https://aws.amazon.com/rds/faqs/",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.2.3",
+ "Description": "Ensure that RDS instances are not publicly accessible",
+ "Checks": [
+ "rds_instance_no_public_access"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.2 Relational Database Service (RDS)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "Ensure and verify that the RDS database instances provisioned in your AWS account restrict unauthorized access in order to minimize security risks. To restrict access to any RDS database instance, you must disable the Publicly Accessible flag for the database and update the VPC security group associated with the instance.",
+ "RationaleStatement": "Ensure that no public-facing RDS database instances are provisioned in your AWS account, and restrict unauthorized access in order to minimize security risks. When the RDS instance allows unrestricted access (0.0.0.0/0), anyone and anything on the Internet can establish a connection to your database, which can increase the opportunity for malicious activities such as brute force attacks, PostgreSQL injections, or DoS/DDoS attacks.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**From Console:** 1. Log in to the AWS management console and navigate to the RDS dashboard at https://console.aws.amazon.com/rds/. 2. Under the navigation panel, on the RDS dashboard, click `Databases`. 3. Select the RDS instance that you want to update. 4. Click `Modify` from the dashboard top menu. 5. On the Modify DB Instance panel, under the `Connectivity` section, click on `Additional connectivity configuration` and update the value for `Publicly Accessible` to `Not publicly accessible` to restrict public access. 6. Follow the below steps to update subnet configurations: - Select the `Connectivity and security` tab, and click the VPC attribute value inside the `Networking` section. - Select the `Details` tab from the VPC dashboard's bottom panel and click the Route table configuration attribute value. - On the Route table details page, select the Routes tab from the dashboard's bottom panel and click `Edit routes`. - On the Edit routes page, update the Destination of Target which is set to `igw-xxxxx` and click `Save` routes. 7. On the Modify DB Instance panel, click `Continue`, and in the Scheduling of modifications section, perform one of the following actions based on your requirements: - Select `Apply during the next scheduled maintenance window` to apply the changes automatically during the next scheduled maintenance window. - Select `Apply immediately` to apply the changes right away. With this option, any pending modifications will be asynchronously applied as soon as possible, regardless of the maintenance window setting for this RDS database instance. Note that any changes available in the pending modifications queue are also applied. If any of the pending modifications require downtime, choosing this option can cause unexpected downtime for the application. 8. Repeat steps 3-7 for each RDS instance in the current region. 9. Change the AWS region from the navigation bar to repeat the process for other regions. **From Command Line:** 1. Run the `describe-db-instances` command to list all available RDS database identifiers in the selected AWS region: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. The command output should return each database instance identifier. 3. Run the `modify-db-instance` command to modify the configuration of a selected RDS instance, disabling the `Publicly Accessible` flag for that instance. This command uses the `apply-immediately` flag. If you want to avoid any downtime, the `--no-apply-immediately` flag can be used: ``` aws rds modify-db-instance --region --db-instance-identifier --no-publicly-accessible --apply-immediately ``` 4. The command output should reveal the `PubliclyAccessible` configuration under pending values, to be applied at the specified time. 5. Updating the Internet Gateway destination via the AWS CLI is not currently supported. To update information about the Internet Gateway, please use the AWS Console procedure. 6. Repeat steps 1-5 for each RDS instance provisioned in the current region. 7. Change the AWS region by using the --region filter to repeat the process for other regions.",
+ "AuditProcedure": "**From Console:** 1. Log in to the AWS management console and navigate to the RDS dashboard at https://console.aws.amazon.com/rds/. 2. Under the navigation panel, on the RDS dashboard, click `Databases`. 3. Select the RDS instance that you want to examine. 4. Click `Instance Name` from the dashboard, under `Connectivity and Security`. 5. In the `Security` section, check if the Publicly Accessible flag status is set to `Yes`. 6. Follow the steps below to check database subnet access: - In the `networking` section, click the subnet link under `Subnets`. - The link will redirect you to the VPC Subnets page. - Select the subnet listed on the page and click the `Route Table` tab from the dashboard bottom panel. - If the route table contains any entries with the destination CIDR block set to `0.0.0.0/0` and an `Internet Gateway` attached, the selected RDS database instance was provisioned inside a public subnet; therefore, it is not running within a logically isolated environment and can be accessed from the Internet. 7. Repeat steps 3-6 to determine the configuration of other RDS database instances provisioned in the current region. 8. Change the AWS region from the navigation bar and repeat the audit process for other regions. **From Command Line:** 1. Run the `describe-db-instances` command to list all available RDS database names in the selected AWS region: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. The command output should return each database instance `identifier`. 3. Run the `describe-db-instances` command again, using the `PubliclyAccessible` parameter as a query filter to reveal the status of the database instance's Publicly Accessible flag: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].PubliclyAccessible' ``` 4. Check the Publicly Accessible parameter status. If the Publicly Accessible flag is set to `Yes`, then the selected RDS database instance is publicly accessible and insecure. Follow the steps mentioned below to check database subnet access. 5. Run the `describe-db-instances` command again using the RDS database instance identifier that you want to check, along with the appropriate filtering to describe the VPC subnet(s) associated with the selected instance: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].DBSubnetGroup.Subnets[]' ``` - The command output should list the subnets available in the selected database subnet group. 6. Run the `describe-route-tables` command using the ID of the subnet returned in the previous step to describe the routes of the VPC route table associated with the selected subnet: ``` aws ec2 describe-route-tables --region --filters Name=association.subnet-id,Values= --query 'RouteTables[*].Routes[]' ``` - If the command returns the route table associated with the database instance subnet ID, check the values of the `GatewayId` and `DestinationCidrBlock` attributes returned in the output. If the route table contains any entries with the `GatewayId` value set to `igw-xxxxxxxx` and the `DestinationCidrBlock` value set to `0.0.0.0/0`, the selected RDS database instance was provisioned within a public subnet. - Or, if the command returns empty results, the route table is implicitly associated with the subnet; therefore, the audit process continues with the next step. 7. Run the `describe-db-instances` command again using the RDS database instance identifier that you want to check, along with the appropriate filtering to describe the VPC ID associated with the selected instance: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].DBSubnetGroup.VpcId' ``` - The command output should show the VPC ID in the selected database subnet group. 8. Now run the `describe-route-tables` command using the ID of the VPC returned in the previous step to describe the routes of the VPC's main route table that is implicitly associated with the selected subnet: ``` aws ec2 describe-route-tables --region --filters Name=vpc-id,Values= Name=association.main,Values=true --query 'RouteTables[*].Routes[]' ``` - The command output returns the VPC main route table implicitly associated with the database instance subnet ID. Check the values of the `GatewayId` and `DestinationCidrBlock` attributes returned in the output. If the route table contains any entries with the `GatewayId` value set to `igw-xxxxxxxx` and the `DestinationCidrBlock` value set to `0.0.0.0/0`, the selected RDS database instance was provisioned inside a public subnet; therefore, it is not running within a logically isolated environment and does not adhere to AWS security best practices.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.html:https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Scenario2.html:https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_VPC.WorkingWithRDSInstanceinaVPC.html:https://aws.amazon.com/rds/faqs/",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.2.4",
+ "Description": "Ensure Multi-AZ deployments are used for enhanced availability in Amazon RDS",
+ "Checks": [
+ "rds_cluster_multi_az",
+ "rds_instance_multi_az"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.2 Relational Database Service (RDS)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "Amazon RDS offers Multi-AZ deployments that provide enhanced availability and durability for your databases, using synchronous replication to replicate data to a standby instance in a different Availability Zone (AZ). In the event of an infrastructure failure, Amazon RDS automatically fails over to the standby to minimize downtime and ensure business continuity.",
+ "RationaleStatement": "Database availability is crucial for maintaining service uptime, particularly for applications that are critical to the business. Implementing Multi-AZ deployments with Amazon RDS ensures that your databases are protected against unplanned outages due to hardware failures, network issues, or other disruptions. This configuration enhances both the availability and durability of your database, making it a highly recommended practice for production environments.",
+ "ImpactStatement": "Multi-AZ deployments may increase costs due to the additional resources required to maintain a standby instance; however, the benefits of increased availability and reduced risk of downtime outweigh these costs for critical applications.",
+ "RemediationProcedure": "**From Console:** 1. Login to the AWS Management Console and open the RDS dashboard at [AWS RDS Console](https://console.aws.amazon.com/rds/). 2. In the left navigation pane, click on `Databases`. 3. Select the database instance that needs Multi-AZ deployment to be enabled. 4. Click the `Modify` button at the top right. 5. Scroll down to the `Availability & Durability` section. 6. Under `Multi-AZ deployment`, select `Yes` to enable. 7. Review the changes and click `Continue`. 8. On the `Review` page, choose `Apply immediately` to make the change without waiting for the next maintenance window, or `Apply during the next scheduled maintenance window`. 9. Click `Modify DB Instance` to apply the changes. **From Command Line:** 1. Run the following command to modify the RDS instance and enable Multi-AZ: ``` aws rds modify-db-instance --region --db-instance-identifier --multi-az --apply-immediately ``` 2. Confirm that the Multi-AZ deployment is enabled by running the following command: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].MultiAZ' ``` - The output should return `True`, indicating that Multi-AZ is enabled. 3. Repeat the procedure for other instances as necessary.",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console and open the RDS dashboard at [AWS RDS Console](https://console.aws.amazon.com/rds/). 2. In the navigation pane, under `Databases`, select the RDS instance you want to examine. 3. Click the `Instance Name` to see details, then navigate to the `Configuration` tab. 4. Under the `Availability & Durability` section, check the `Multi-AZ` status. - If Multi-AZ deployment is enabled, it will display `Yes`. - If it is disabled, the status will display `No`. 5. Repeat steps 2-4 to verify the Multi-AZ status of other RDS instances in the same region. 6. Change the region from the top of the navigation bar and repeat the audit for other regions. **From Command Line:** 1. Run the following command to list all RDS instances in the selected AWS region: ``` aws rds describe-db-instances --region --query 'DBInstances[*].DBInstanceIdentifier' ``` 2. Run the following command using the instance identifier returned earlier to check the Multi-AZ status: ``` aws rds describe-db-instances --region --db-instance-identifier --query 'DBInstances[*].MultiAZ' ``` - If the output is `True`, Multi-AZ is enabled. - If the output is `False`, Multi-AZ is not enabled. 3. Repeat steps 1 and 2 to audit each RDS instance, and change regions to verify in other regions.",
+ "AdditionalInformation": "",
+ "References": "",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "2.3.1",
+ "Description": "Ensure that encryption is enabled for EFS file systems",
+ "Checks": [
+ "efs_encryption_at_rest_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "2 Storage",
+ "SubSection": "2.3 Elastic File System (EFS)",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Automated",
+ "Description": "EFS data should be encrypted at rest using AWS KMS (Key Management Service).",
+ "RationaleStatement": "Data should be encrypted at rest to reduce the risk of a data breach via direct access to the storage device.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "**It is important to note that EFS file system data-at-rest encryption must be turned on when creating the file system. If an EFS file system has been created without data-at-rest encryption enabled, then you must create another EFS file system with the correct configuration and transfer the data.** **Steps to create an EFS file system with data encrypted at rest:** **From Console:** 1. Login to the AWS Management Console and Navigate to the `Elastic File System (EFS)` dashboard. 2. Select `File Systems` from the left navigation panel. 3. Click the `Create File System` button from the dashboard top menu to start the file system setup process. 4. On the `Configure file system access` configuration page, perform the following actions: - Choose an appropriate VPC from the VPC dropdown list. - Within the `Create mount targets` section, check the boxes for all of the Availability Zones (AZs) within the selected VPC. These will be your mount targets. - Click `Next step` to continue. 5. Perform the following on the `Configure optional settings` page: - Create `tags` to describe your new file system. - Choose `performance mode` based on your requirements. - Check the `Enable encryption` box and choose `aws/elasticfilesystem` from the `Select KMS master key` dropdown list to enable encryption for the new file system, using the default master key provided and managed by AWS KMS. - Click `Next step` to continue. 6. Review the file system configuration details on the `review and create` page and then click `Create File System` to create your new AWS EFS file system. 7. Copy the data from the old unencrypted EFS file system onto the newly created encrypted file system. 8. Remove the unencrypted file system as soon as your data migration to the newly created encrypted file system is completed. 9. Change the AWS region from the navigation bar and repeat the entire process for the other AWS regions. **From CLI:** 1. Run the `describe-file-systems` command to view the configuration information for the selected unencrypted file system identified in the Audit steps: ``` aws efs describe-file-systems --region --file-system-id ``` 2. The command output should return the configuration information. 3. To provision a new AWS EFS file system, you need to generate a universally unique identifier (UUID) to create the token required by the `create-file-system` command. To create the required token, you can use a randomly generated UUID from https://www.uuidgenerator.net. 4. Run the `create-file-system` command using the unique token created at the previous step: ``` aws efs create-file-system --region --creation-token --performance-mode generalPurpose --encrypted ``` 5. The command output should return the new file system configuration metadata. 6. Run the `create-mount-target` command using the EFS file system ID returned from step 4 as the identifier and the ID of the Availability Zone (AZ) that will represent the mount target: ``` aws efs create-mount-target --region --file-system-id --subnet-id ``` 7. The command output should return the new mount target metadata. 8. Now you can mount your file system from an EC2 instance. 9. Copy the data from the old unencrypted EFS file system to the newly created encrypted file system. 10. Remove the unencrypted file system as soon as your data migration to the newly created encrypted file system is completed: ``` aws efs delete-file-system --region --file-system-id ``` 11. Change the AWS region by updating the --region and repeat the entire process for the other AWS regions.",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console and Navigate to the Elastic File System (EFS) dashboard. 2. Select `File Systems` from the left navigation panel. 3. Each item on the list has a visible Encrypted field that displays data at rest encryption status. 4. Validate that this field reads `Encrypted` for all EFS file systems in all AWS regions. **From CLI:** 1. Run the `describe-file-systems` command using custom query filters to list the identifiers of all AWS EFS file systems currently available within the selected region: ``` aws efs describe-file-systems --region --output table --query 'FileSystems[*].FileSystemId' ``` 2. The command output should return a table with the requested file system IDs. 3. Run the `describe-file-systems` command using the ID of the file system that you want to examine as `file-system-id` and the necessary query filters: ``` aws efs describe-file-systems --region --file-system-id --query 'FileSystems[*].Encrypted' ``` 4. The command output should return the file system encryption status as `true` or `false`. If the returned value is `false`, the selected AWS EFS file system is not encrypted and if the returned value is `true`, the selected AWS EFS file system is encrypted.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/efs/latest/ug/encryption-at-rest.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/efs/index.html#efs",
+ "DefaultValue": "EFS file system data is encrypted at rest by default when creating a file system through the Console. However, encryption at rest is not enabled by default when creating a new file system using the AWS CLI, API, or SDKs."
+ }
+ ]
+ },
+ {
+ "Id": "3.1",
+ "Description": "Ensure CloudTrail is enabled in all regions",
+ "Checks": [
+ "cloudtrail_multi_region_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service. CloudTrail provides a history of AWS API calls for an account, including API calls made via the Management Console, SDKs, command line tools, and higher-level AWS services (such as CloudFormation).",
+ "RationaleStatement": "The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. Additionally, - ensuring that a multi-region trail exists will help detect unexpected activity occurring in otherwise unused regions - ensuring that a multi-region trail exists will ensure that `Global Service Logging` is enabled for a trail by default to capture recordings of events generated on AWS global services - for a multi-region trail, ensuring that management events are configured for all types of Read/Writes ensures the recording of management operations that are performed on all resources in an AWS account",
+ "ImpactStatement": "S3 lifecycle features can be used to manage the accumulation and management of logs over time. See the following AWS resource for more information on these features: 1. https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html",
+ "RemediationProcedure": "Perform the following to enable global (Multi-region) CloudTrail logging: **From Console:** 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail). 2. Click on `Trails` in the left navigation pane. 3. Click `Get Started Now` if it is presented, then: - Click `Add new trail`. - Enter a trail name in the `Trail name` box. - A trail created in the console is a multi-region trail by default. - Specify an S3 bucket name in the `S3 bucket` box. - Specify the AWS KMS alias under the `Log file SSE-KMS encryption` section, or create a new key. - Click `Next`. 4. Ensure the `Management events` check box is selected. 5. Ensure both `Read` and `Write` are checked under API activity. 6. Click `Next`. 7. Review your trail settings and click `Create trail`. **From Command Line:** Create a multi-region trail: ``` aws cloudtrail create-trail --name --bucket-name --is-multi-region-trail ``` Enable multi-region on an existing trail: ``` aws cloudtrail update-trail --name --is-multi-region-trail ``` **Note:** Creating a CloudTrail trail via the CLI without providing any overriding options configures all `read` and `write` `Management Events` to be logged by default.",
+ "AuditProcedure": "Perform the following to determine if CloudTrail is enabled for all regions: **From Console:** 1. Sign in to the AWS Management Console and open the CloudTrail console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail) 2. Click on `Trails` in the left navigation pane - You will be presented with a list of trails across all regions 3. Ensure that at least one Trail has `Yes` specified in the `Multi-region trail` column 4. Click on a trail via the link in the `Name` column 5. Ensure `Logging` is set to `ON` 6. Ensure `Multi-region trail` is set to `Yes` 7. In the section `Management Events`, ensure that `API activity` set to `ALL` **From Command Line:** 1. List all trails: ``` aws cloudtrail describe-trails ``` 2. Ensure `IsMultiRegionTrail` is set to `true`: ``` aws cloudtrail get-trail-status --name ``` 3. Ensure `IsLogging` is set to `true`: ``` aws cloudtrail get-event-selectors --trail-name ``` 4. Ensure there is at least one `fieldSelector` for a trail that equals `Management`: - This should NOT output any results for Field: readOnly. If either `true` or `false` is returned, one of the checkboxes (`read` or `write`) is not selected. Example of correct output: ``` TrailARN: , AdvancedEventSelectors: [ { Name: Management events selector, FieldSelectors: [ { Field: eventCategory, Equals: [ Management ] ```",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-concepts.html#cloudtrail-concepts-management-events:https://docs.aws.amazon.com/awscloudtrail/latest/userguide/logging-management-and-data-events-with-cloudtrail.html?icmpid=docs_cloudtrail_console#logging-management-events:https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-supported-services.html#cloud-trail-supported-services-data-events",
+ "DefaultValue": "Not Enabled"
+ }
+ ]
+ },
+ {
+ "Id": "3.2",
+ "Description": "Ensure CloudTrail log file validation is enabled",
+ "Checks": [
+ "cloudtrail_log_file_validation_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "CloudTrail log file validation creates a digitally signed digest file containing a hash of each log that CloudTrail writes to S3. These digest files can be used to determine whether a log file was changed, deleted, or remained unchanged after CloudTrail delivered the log. It is recommended that file validation be enabled for all CloudTrails.",
+ "RationaleStatement": "Enabling log file validation will provide additional integrity checks for CloudTrail logs.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to enable log file validation on a given trail: **From Console:** 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail). 2. Click on `Trails` in the left navigation pane. 3. Click on the target trail. 4. Within the `General details` section, click `edit`. 5. Under `Advanced settings`, check the `enable` box under `Log file validation`. 6. Click `Save changes`. **From Command Line:** Enable log file validation on a trail: ``` aws cloudtrail update-trail --name --enable-log-file-validation ``` Note that periodic validation of logs using these digests can be carried out by running the following command: ``` aws cloudtrail validate-logs --trail-arn --start-time --end-time ```",
+ "AuditProcedure": "Perform the following on each trail to determine if log file validation is enabled: **From Console:** 1. Sign in to the AWS Management Console and open the IAM console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail). 2. Click on `Trails` in the left navigation pane. 3. For every trail: - Click on a trail via the link in the `Name` column. - Under the `General details` section, ensure `Log file validation` is set to `Enabled`. **From Command Line:** List all trails: ``` aws cloudtrail describe-trails ``` Ensure `LogFileValidationEnabled` is set to `true` for each trail.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-log-file-validation-enabling.html",
+ "DefaultValue": "Not Enabled"
+ }
+ ]
+ },
+ {
+ "Id": "3.3",
+ "Description": "Ensure AWS Config is enabled in all regions",
+ "Checks": [
+ "config_recorder_all_regions_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS Config is a web service that performs configuration management of supported AWS resources within your account and delivers log files to you. The recorded information includes the configuration items (AWS resources), relationships between configuration items (AWS resources), and any configuration changes between resources. It is recommended that AWS Config be enabled in all regions.",
+ "RationaleStatement": "The AWS configuration item history captured by AWS Config enables security analysis, resource change tracking, and compliance auditing.",
+ "ImpactStatement": "Enabling AWS Config in all regions provides comprehensive visibility into resource configurations, enhancing security and compliance monitoring. However, this may incur additional costs and require proper configuration management.",
+ "RemediationProcedure": "To implement AWS Config configuration: **From Console:** 1. Select the region you want to focus on in the top right of the console. 2. Click `Services`. 3. Click `Config`. 4. If a Config Recorder is enabled in this region, navigate to the Settings page from the navigation menu on the left-hand side. If a Config Recorder is not yet enabled in this region, select Get Started. 5. Select Record all resources supported in this region. 6. Choose to include global resources (IAM resources). 7. Specify an S3 bucket in the same account or in another managed AWS account. 8. Create an SNS Topic from the same AWS account or another managed AWS account. **From Command Line:** 1. Ensure there is an appropriate S3 bucket, SNS topic, and IAM role per the [AWS Config Service prerequisites](http://docs.aws.amazon.com/config/latest/developerguide/gs-cli-prereq.html). 2. Run this command to create a new configuration recorder: ``` aws configservice put-configuration-recorder --configuration-recorder name=,roleARN=arn:aws:iam:::role/ --recording-group allSupported=true,includeGlobalResourceTypes=true ``` 3. Create a delivery channel configuration file locally which specifies the channel attributes, populated from the prerequisites set up previously: ``` { name: , s3BucketName: , snsTopicARN: arn:aws:sns:::, configSnapshotDeliveryProperties: { deliveryFrequency: Twelve_Hours } } ``` 4. Run this command to create a new delivery channel, referencing the json configuration file made in the previous step: ``` aws configservice put-delivery-channel --delivery-channel file://.json ``` 5. Start the configuration recorder by running the following command: ``` aws configservice start-configuration-recorder --configuration-recorder-name ```",
+ "AuditProcedure": "Process to evaluate AWS Config configuration per region: **From Console:** 1. Sign in to the AWS Management Console and open the AWS Config console at [https://console.aws.amazon.com/config/](https://console.aws.amazon.com/config/). 1. On the top right of the console select the target region. 1. If a Config Recorder is enabled in this region, you should navigate to the Settings page from the navigation menu on the left-hand side. If a Config Recorder is not yet enabled in this region, proceed to the remediation steps. 1. Ensure Record all resources supported in this region is checked. 1. Ensure Include global resources (e.g., AWS IAM resources) is checked, unless it is enabled in another region (this is only required in one region). 1. Ensure the correct S3 bucket has been defined. 1. Ensure the correct SNS topic has been defined. 1. Repeat steps 2 to 7 for each region. **From Command Line:** 1. Run this command to show all AWS Config Recorders and their properties: ``` aws configservice describe-configuration-recorders ``` 2. Evaluate the output to ensure that all recorders have a `recordingGroup` object which includes `allSupported: true`. Additionally, ensure that at least one recorder has `includeGlobalResourceTypes: true`. **Note:** There is one more parameter, ResourceTypes, in the recordingGroup object. We don't need to check it, as whenever we set allSupported to true, AWS enforces the resource types to be empty (ResourceTypes: []). Sample output: ``` { ConfigurationRecorders: [ { recordingGroup: { allSupported: true, resourceTypes: [], includeGlobalResourceTypes: true }, roleARN: arn:aws:iam:::role/service-role/, name: default } ] } ``` 3. Run this command to show the status for all AWS Config Recorders: ``` aws configservice describe-configuration-recorder-status ``` 4. In the output, find recorders with `name` key matching the recorders that were evaluated in step 2. Ensure that they include `recording: true` and `lastStatus: SUCCESS`.",
+ "AdditionalInformation": "",
+ "References": "https://awscli.amazonaws.com/v2/documentation/api/latest/reference/configservice/describe-configuration-recorder-status.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/configservice/describe-configuration-recorders.html:https://docs.aws.amazon.com/config/latest/developerguide/gs-cli-prereq.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "3.4",
+ "Description": "Ensure that server access logging is enabled on the CloudTrail S3 bucket",
+ "Checks": [
+ "cloudtrail_logs_s3_bucket_access_logging_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 1",
+ "AssessmentStatus": "Manual",
+ "Description": "Server access logging generates a log that contains access records for each request made to your S3 bucket. An access log record contains details about the request, such as the request type, the resources specified in the request worked, and the time and date the request was processed. It is recommended that server access logging be enabled on the CloudTrail S3 bucket.",
+ "RationaleStatement": "By enabling server access logging on target S3 buckets, it is possible to capture all events that may affect objects within any target bucket. Configuring the logs to be placed in a separate bucket allows access to log information that can be useful in security and incident response workflows.",
+ "ImpactStatement": "",
+ "RemediationProcedure": "Perform the following to enable server access logging: **From Console:** 1. Sign in to the AWS Management Console and open the S3 console at [https://console.aws.amazon.com/s3](https://console.aws.amazon.com/s3). 2. Under `All Buckets` click on the target S3 bucket. 3. Click on `Properties` in the top right of the console. 4. Under `Bucket: `, click `Logging`. 5. Configure bucket logging: - Check the `Enabled` box. - Select a Target Bucket from the list. - Enter a Target Prefix. 6. Click `Save`. **From Command Line:** 1. Get the name of the S3 bucket that CloudTrail is logging to: ``` aws cloudtrail describe-trails --region --query trailList[*].S3BucketName ``` 2. Copy and add the target bucket name at ``, the prefix for the log file at ``, and optionally add an email address in the following template, then save it as `.json`: ``` { LoggingEnabled: { TargetBucket: , TargetPrefix: , TargetGrants: [ { Grantee: { Type: AmazonCustomerByEmail, EmailAddress: }, Permission: FULL_CONTROL } ] } } ``` 3. Run the `put-bucket-logging` command with bucket name and `.json` as input; for more information, refer to [put-bucket-logging](https://docs.aws.amazon.com/cli/latest/reference/s3api/put-bucket-logging.html): ``` aws s3api put-bucket-logging --bucket --bucket-logging-status file://.json ```",
+ "AuditProcedure": "Perform the following ensure that the CloudTrail S3 bucket has access logging is enabled: **From Console:** 1. Go to the Amazon CloudTrail console at [https://console.aws.amazon.com/cloudtrail/home](https://console.aws.amazon.com/cloudtrail/home). 2. In the API activity history pane on the left, click `Trails`. 3. In the Trails pane, note the bucket names in the S3 bucket column. 4. Sign in to the AWS Management Console and open the S3 console at [https://console.aws.amazon.com/s3](https://console.aws.amazon.com/s3). 5. Under `All Buckets` click on a target S3 bucket. 6. Click on `Properties` in the top right of the console. 7. Under `Bucket: `, click `Logging`. 8. Ensure `Enabled` is checked. **From Command Line:** 1. Get the name of the S3 bucket that CloudTrail is logging to: ``` aws cloudtrail describe-trails --query 'trailList[*].S3BucketName' ``` 2. Ensure logging is enabled on the bucket: ``` aws s3api get-bucket-logging --bucket ``` Ensure the command does not return an empty output. Sample output for a bucket with logging enabled: ``` { LoggingEnabled: { TargetPrefix: , TargetBucket: } } ```",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonS3/latest/dev/ServerLogs.html:https://docs.aws.amazon.com/AmazonS3/latest/userguide/enable-server-access-logging.html",
+ "DefaultValue": "Logging is disabled."
+ }
+ ]
+ },
+ {
+ "Id": "3.5",
+ "Description": "Ensure CloudTrail logs are encrypted at rest using KMS CMKs",
+ "Checks": [
+ "cloudtrail_kms_encryption_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS CloudTrail is a web service that records AWS API calls for an account and makes those logs available to users and resources in accordance with IAM policies. AWS Key Management Service (KMS) is a managed service that helps create and control the encryption keys used to encrypt account data, and uses Hardware Security Modules (HSMs) to protect the security of encryption keys. CloudTrail logs can be configured to leverage server side encryption (SSE) and KMS customer-created master keys (CMK) to further protect CloudTrail logs. It is recommended that CloudTrail be configured to use SSE-KMS.",
+ "RationaleStatement": "Configuring CloudTrail to use SSE-KMS provides additional confidentiality controls on log data, as a given user must have S3 read permission on the corresponding log bucket and must be granted decrypt permission by the CMK policy.",
+ "ImpactStatement": "Customer-created keys incur an additional cost. See https://aws.amazon.com/kms/pricing/ for more information.",
+ "RemediationProcedure": "Perform the following to configure CloudTrail to use SSE-KMS: **From Console:** 1. Sign in to the AWS Management Console and open the CloudTrail console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail). 2. In the left navigation pane, choose `Trails`. 3. Click on a trail. 4. Under the `S3` section, click the edit button (pencil icon). 5. Click `Advanced`. 6. Select an existing CMK from the `KMS key Id` drop-down menu. - **Note:** Ensure the CMK is located in the same region as the S3 bucket. - **Note:** You will need to apply a KMS key policy on the selected CMK in order for CloudTrail, as a service, to encrypt and decrypt log files using the CMK provided. View the AWS documentation for [editing the selected CMK Key policy](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/create-kms-key-policy-for-cloudtrail.html). 7. Click `Save`. 8. You will see a notification message stating that you need to have decryption permissions on the specified KMS key to decrypt log files. 9. Click `Yes`. **From Command Line:** Run the following command to specify a KMS key ID to use with a trail: ``` aws cloudtrail update-trail --name --kms-id ``` Run the following command to attach a key policy to a specified KMS key: ``` aws kms put-key-policy --key-id --policy ```",
+ "AuditProcedure": "Perform the following to determine if CloudTrail is configured to use SSE-KMS: **From Console:** 1. Sign in to the AWS Management Console and open the CloudTrail console at [https://console.aws.amazon.com/cloudtrail](https://console.aws.amazon.com/cloudtrail). 2. In the left navigation pane, choose `Trails`. 3. Select a trail. 4. In the `General details` section, select `Edit` to edit the trail configuration. 5. Ensure the box at `Log file SSE-KMS encryption` is checked and that a valid `AWS KMS alias` of a KMS key is entered in the respective text box. **From Command Line:** 1. Run the following command: ``` aws cloudtrail describe-trails ``` 2. For each trail listed, SSE-KMS is enabled if the trail has a `KmsKeyId` property defined.",
+ "AdditionalInformation": "Three statements that need to be added to the CMK policy: 1\\. Enable CloudTrail to describe CMK properties: ``` { Sid: Allow CloudTrail access, Effect: Allow, Principal: { Service: cloudtrail.amazonaws.com }, Action: kms:DescribeKey, Resource: * } ``` 2\\. Granting encrypt permissions: ``` { Sid: Allow CloudTrail to encrypt logs, Effect: Allow, Principal: { Service: cloudtrail.amazonaws.com }, Action: kms:GenerateDataKey*, Resource: *, Condition: { StringLike: { kms:EncryptionContext:aws:cloudtrail:arn: [ arn:aws:cloudtrail:*:aws-account-id:trail/* ] } } } ``` 3\\. Granting decrypt permissions: ``` { Sid: Enable CloudTrail log decrypt permissions, Effect: Allow, Principal: { AWS: arn:aws:iam::aws-account-id:user/username }, Action: kms:Decrypt, Resource: *, Condition: { Null: { kms:EncryptionContext:aws:cloudtrail:arn: false } } } ```",
+ "References": "https://docs.aws.amazon.com/awscloudtrail/latest/userguide/encrypting-cloudtrail-log-files-with-aws-kms.html:https://docs.aws.amazon.com/kms/latest/developerguide/create-keys.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudtrail/update-trail.html:https://awscli.amazonaws.com/v2/documentation/api/latest/reference/kms/put-key-policy.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "3.6",
+ "Description": "Ensure rotation for customer-created symmetric CMKs is enabled",
+ "Checks": [
+ "kms_cmk_rotation_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "AWS Key Management Service (KMS) allows customers to rotate the backing key, which is key material stored within the KMS that is tied to the key ID of the customer-created customer master key (CMK). The backing key is used to perform cryptographic operations such as encryption and decryption. Automated key rotation currently retains all prior backing keys so that decryption of encrypted data can occur transparently. It is recommended that CMK key rotation be enabled for symmetric keys. Key rotation cannot be enabled for any asymmetric CMK.",
+ "RationaleStatement": "Rotating encryption keys helps reduce the potential impact of a compromised key, as data encrypted with a new key cannot be accessed with a previous key that may have been exposed. Keys should be rotated every year or upon an event that could result in the compromise of that key.",
+ "ImpactStatement": "Creation, management, and storage of CMKs may require additional time from an administrator.",
+ "RemediationProcedure": "**From Console:** 1. Sign in to the AWS Management Console and open the KMS console at: [https://console.aws.amazon.com/kms](https://console.aws.amazon.com/kms). 2. In the left navigation pane, click `Customer-managed keys`. 3. Select a key with `Key spec = SYMMETRIC_DEFAULT` that does not have automatic rotation enabled. 4. Select the `Key rotation` tab. 5. Check the `Automatically rotate this KMS key every year` box. 6. Click `Save`. 7. Repeat steps 3โ6 for all customer-managed CMKs that do not have automatic rotation enabled. **From Command Line:** 1. Run the following command to enable key rotation: ``` aws kms enable-key-rotation --key-id ```",
+ "AuditProcedure": "**From Console:** 1. Sign in to the AWS Management Console and open the KMS console at: [https://console.aws.amazon.com/kms](https://console.aws.amazon.com/kms). 2. In the left navigation pane, click `Customer-managed keys`. 3. Select a customer-managed CMK where `Key spec = SYMMETRIC_DEFAULT`. 4. Select the `Key rotation` tab. 5. Ensure the `Automatically rotate this KMS key every year` box is checked. 6. Repeat steps 3โ5 for all customer-managed CMKs where `Key spec = SYMMETRIC_DEFAULT`. **From Command Line:** 1. Run the following command to get a list of all keys and their associated `KeyIds`: ``` aws kms list-keys ``` 2. For each key, note the KeyId and run the following command: ``` describe-key --key-id ``` 3. If the response contains `KeySpec = SYMMETRIC_DEFAULT`, run the following command: ``` aws kms get-key-rotation-status --key-id ``` 4. Ensure `KeyRotationEnabled` is set to `true`. 5. Repeat steps 2โ4 for all remaining CMKs.",
+ "AdditionalInformation": "",
+ "References": "https://aws.amazon.com/kms/pricing/:https://csrc.nist.gov/publications/detail/sp/800-57-part-1/rev-5/final",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "3.7",
+ "Description": "Ensure VPC flow logging is enabled in all VPCs",
+ "Checks": [
+ "vpc_flow_logs_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "VPC Flow Logs is a feature that enables you to capture information about the IP traffic going to and from network interfaces in your VPC. After you've created a flow log, you can view and retrieve its data in Amazon CloudWatch Logs. It is recommended that VPC Flow Logs be enabled for packet Rejects for VPCs.",
+ "RationaleStatement": "VPC Flow Logs provide visibility into network traffic that traverses the VPC and can be used to detect anomalous traffic or gain insights during security workflows.",
+ "ImpactStatement": "By default, CloudWatch Logs will store logs indefinitely unless a specific retention period is defined for the log group. When choosing the number of days to retain, keep in mind that the average time it takes for an organization to realize they have been breached is 210 days (at the time of this writing). Since additional time is required to research a breach, a minimum retention policy of 365 days allows for detection and investigation. You may also wish to archive the logs to a cheaper storage service rather than simply deleting them. See the following AWS resource to manage CloudWatch Logs retention periods: 1. https://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/SettingLogRetention.html",
+ "RemediationProcedure": "Perform the following to enable VPC Flow Logs: **From Console:** 1. Sign into the management console. 2. Select `Services`, then select `VPC`. 3. In the left navigation pane, select `Your VPCs`. 4. Select a VPC. 5. In the right pane, select the `Flow Logs` tab. 6. If no Flow Log exists, click `Create Flow Log`. 7. For Filter, select `Reject`. 8. Enter a `Role` and `Destination Log Group`. 9. Click `Create Log Flow`. 10. Click on `CloudWatch Logs Group`. **Note:** Setting the filter to Reject will dramatically reduce the accumulation of logging data for this recommendation and provide sufficient information for the purposes of breach detection, research, and remediation. However, during periods of least privilege security group engineering, setting the filter to All can be very helpful in discovering existing traffic flows required for the proper operation of an already running environment. **From Command Line:** 1. Create a policy document, name it `role_policy_document.json`, and paste the following content: ``` { Version: 2012-10-17, Statement: [ { Sid: test, Effect: Allow, Principal: { Service: ec2.amazonaws.com }, Action: sts:AssumeRole } ] } ``` 2. Create another policy document, name it `iam_policy.json`, and paste the following content: ``` { Version: 2012-10-17, Statement: [ { Effect: Allow, Action:[ logs:CreateLogGroup, logs:CreateLogStream, logs:DescribeLogGroups, logs:DescribeLogStreams, logs:PutLogEvents, logs:GetLogEvents, logs:FilterLogEvents ], Resource: * } ] } ``` 3. Run the following command to create an IAM role: ``` aws iam create-role --role-name --assume-role-policy-document file://role_policy_document.json ``` 4. Run the following command to create an IAM policy: ``` aws iam create-policy --policy-name --policy-document file://iam-policy.json ``` 5. Run the `attach-group-policy` command, using the IAM policy ARN returned from the previous step to attach the policy to the IAM role: ``` aws iam attach-group-policy --policy-arn arn:aws:iam:::policy/ --group-name ``` - If the command succeeds, no output is returned. 6. Run the `describe-vpcs` command to get a list of VPCs in the selected region: ``` aws ec2 describe-vpcs --region ``` - The command output should return a list of VPCs in the selected region. 7. Run the `create-flow-logs` command to create a flow log for a VPC: ``` aws ec2 create-flow-logs --resource-type VPC --resource-ids --traffic-type REJECT --log-group-name --deliver-logs-permission-arn ``` 8. Repeat step 7 for other VPCs in the selected region. 9. Change the region by updating --region, and repeat the remediation procedure for each region.",
+ "AuditProcedure": "Perform the following to determine if VPC Flow logs are enabled: **From Console:** 1. Sign into the management console. 2. Select `Services`, then select `VPC`. 3. In the left navigation pane, select `Your VPCs`. 4. Select a VPC. 5. In the right pane, select the `Flow Logs` tab. 6. Ensure a Log Flow exists that has `Active` in the `Status` column. **From Command Line:** 1. Run the `describe-vpcs` command (OSX/Linux/UNIX) to list the VPC networks available in the current AWS region: ``` aws ec2 describe-vpcs --region --query Vpcs[].VpcId ``` 2. The command output returns the `VpcId` of VPCs available in the selected region. 3. Run the `describe-flow-logs` command (OSX/Linux/UNIX) using the VPC ID to determine if the selected virtual network has the Flow Logs feature enabled: ``` aws ec2 describe-flow-logs --filter Name=resource-id,Values= ``` - If there are no Flow Logs created for the selected VPC, the command output will return an empty list `[]`. 4. Repeat step 3 for other VPCs in the same region. 5. Change the region by updating `--region`, and repeat steps 1-4 for each region.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/flow-logs.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "3.8",
+ "Description": "Ensure that object-level logging for write events is enabled for S3 buckets",
+ "Checks": [
+ "cloudtrail_s3_dataevents_write_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "S3 object-level API operations, such as GetObject, DeleteObject, and PutObject, are referred to as data events. By default, CloudTrail trails do not log data events, so it is recommended to enable object-level logging for S3 buckets.",
+ "RationaleStatement": "Enabling object-level logging will help you meet data compliance requirements within your organization, perform comprehensive security analyses, monitor specific patterns of user behavior in your AWS account, or take immediate actions on any object-level API activity within your S3 buckets using Amazon CloudWatch Events.",
+ "ImpactStatement": "Enabling logging for these object-level events may significantly increase the number of events logged and may incur additional costs.",
+ "RemediationProcedure": "**From Console:** 1. Login to the AWS Management Console and navigate to the S3 dashboard at `https://console.aws.amazon.com/s3/`. 2. In the left navigation panel, click `buckets`, and then click the name of the S3 bucket you want to examine. 3. Click the `Properties` tab to see the bucket configuration in detail. 4. In the `AWS CloudTrail data events` section, select the trail name for recording activity. You can choose an existing trail or create a new one by clicking the `Configure in CloudTrail` button or navigating to the [CloudTrail console](https://console.aws.amazon.com/cloudtrail/). 5. Once the trail is selected, select the `Data Events` check box. 6. Select `S3` from the `Data event type` drop-down. 7. Select `Log all events` from the `Log selector template` drop-down. 8. Repeat steps 2-7 to enable object-level logging of write events for other S3 buckets. **From Command Line:** 1. To enable `object-level` data events logging for S3 buckets within your AWS account, run the `put-event-selectors` command using the name of the trail that you want to reconfigure as identifier: ``` aws cloudtrail put-event-selectors --region --trail-name --event-selectors '[{ ReadWriteType: WriteOnly, IncludeManagementEvents:true, DataResources: [{ Type: AWS::S3::Object, Values: [arn:aws:s3:::/] }] }]' ``` 2. The command output will be `object-level` event trail configuration. 3. If you want to enable it for all buckets at once, change the Values parameter to `[arn:aws:s3]` in the previous command. 4. Repeat step 1 for each s3 bucket to update `object-level` logging of write events. 5. Change the AWS region by updating the `--region` command parameter, and perform the process for the other regions.",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console and navigate to the CloudTrail dashboard at `https://console.aws.amazon.com/cloudtrail/`. 2. In the left panel, click `Trails`, and then click the name of the trail that you want to examine. 3. Review `General details`. 4. Confirm that `Multi-region trail` is set to `Yes`. 5. Scroll down to `Data events` and confirm the configuration: - If `advanced event selectors` is being used, it should read: ``` Data Events: S3 Log selector template Log all events ``` - If `basic event selectors` is being used, it should read: ``` Data events: S3 Bucket Name: All current and future S3 buckets Write: Enabled ``` 6. Repeat steps 2-5 to verify that each trail has multi-region enabled and is configured to log data events. If a trail does not have multi-region enabled and data event logging configured, refer to the remediation steps. **From Command Line:** 1. Run the `list-trails` command to list all trails: ``` aws cloudtrail list-trails ``` 2. The command output will be a list of trails: ``` TrailARN: arn:aws:cloudtrail:::trail/, Name: , HomeRegion: ``` 3. Run the `get-trail` command to determine whether a trail is a multi-region trail: ``` aws cloudtrail get-trail --name --region ``` 4. The command output should include: `IsMultiRegionTrail: true`. 5. Run the `get-event-selectors` command, using the `Name` of the trail and the `region` returned in step 2, to determine if data event logging is configured: ``` aws cloudtrail get-event-selectors --region --trail-name --query EventSelectors[*].DataResources[] ``` 6. The command output should be an array that includes the S3 bucket defined for data event logging: ``` Type: AWS::S3::Object, Values: [ arn:aws:s3 ``` 7. If the `get-event-selectors` command returns an empty array, data events are not included in the trail's logging configuration; therefore, object-level API operations performed on S3 buckets within your AWS account are not being recorded. 8. Repeat steps 1-7 to verify that each trail has multi-region enabled and is configured to log data events. If a trail does not have multi-region enabled and data event logging configured, refer to the remediation steps.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonS3/latest/user-guide/enable-cloudtrail-events.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "3.9",
+ "Description": "Ensure that object-level logging for read events is enabled for S3 buckets",
+ "Checks": [
+ "cloudtrail_s3_dataevents_read_enabled"
+ ],
+ "Attributes": [
+ {
+ "Section": "3 Logging",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Automated",
+ "Description": "S3 object-level API operations, such as GetObject, DeleteObject, and PutObject, are referred to as data events. By default, CloudTrail trails do not log data events, so it is recommended to enable object-level logging for S3 buckets.",
+ "RationaleStatement": "Enabling object-level logging will help you meet data compliance requirements within your organization, perform comprehensive security analyses, monitor specific patterns of user behavior in your AWS account, or take immediate actions on any object-level API activity within your S3 buckets using Amazon CloudWatch Events.",
+ "ImpactStatement": "Enabling logging for these object-level events may significantly increase the number of events logged and may incur additional costs.",
+ "RemediationProcedure": "**From Console:** 1. Login to the AWS Management Console and navigate to S3 dashboard at `https://console.aws.amazon.com/s3/`. 2. In the left navigation panel, click `buckets` and then click the name of the S3 bucket that you want to examine. 3. Click the `Properties` tab to see the bucket configuration in detail. 4. In the `AWS Cloud Trail data events` section, select the trail name for recording activity. You can choose an existing trail or create a new one by clicking the `Configure in CloudTrail` button or navigating to the [CloudTrail console](https://console.aws.amazon.com/cloudtrail/). 5. Once the trail is selected, select the `Data Events` check box. 6. Select `S3` from the `Data event type` drop-down. 7. Select `Log all events` from the `Log selector template` drop-down. 8. Repeat steps 2-7 to enable object-level logging of read events for other S3 buckets. **From Command Line:** 1. To enable `object-level` data events logging for S3 buckets within your AWS account, run the `put-event-selectors` command using the name of the trail that you want to reconfigure as identifier: ``` aws cloudtrail put-event-selectors --region --trail-name --event-selectors '[{ ReadWriteType: ReadOnly, IncludeManagementEvents:true, DataResources: [{ Type: AWS::S3::Object, Values: [arn:aws:s3:::/] }] }]' ``` 2. The command output will be `object-level` event trail configuration. 3. If you want to enable it for all buckets at once, change the Values parameter to `[arn:aws:s3]` in the previous command. 4. Repeat step 1 for each s3 bucket to update `object-level` logging of read events. 5. Change the AWS region by updating the `--region` command parameter, and perform the process for the other regions.",
+ "AuditProcedure": "**From Console:** 1. Login to the AWS Management Console and navigate to the CloudTrail dashboard at `https://console.aws.amazon.com/cloudtrail/`. 2. In the left panel, click `Trails`, and then click the name of the trail that you want to examine. 3. Review `General details`. 4. Confirm that `Multi-region trail` is set to `Yes` 5. Scroll down to `Data events` 5. Scroll down to `Data events` and confirm the configuration: - If `advanced event selectors` is being used, it should read: ``` Data Events: S3 Log selector template Log all events ``` - If `basic event selectors` is being used, it should read: ``` Data events: S3 Bucket Name: All current and future S3 buckets Read: Enabled ``` 6. Repeat steps 2-5 to verify that each trail has multi-region enabled and is configured to log data events. If a trail does not have multi-region enabled and data event logging configured, refer to the remediation steps. **From Command Line:** 1. Run the `describe-trails` command to list all trail names: ``` aws cloudtrail describe-trails --region --output table --query trailList[*].Name ``` 2. The command output will be table of the trail names. 3. Run the `get-event-selectors` command using the name of a trail returned at the previous step and custom query filters to determine if data event logging is configured: ``` aws cloudtrail get-event-selectors --region --trail-name --query EventSelectors[*].DataResources[] ``` 4. The command output should be an array that includes the S3 bucket defined for data event logging. 5. If the `get-event-selectors` command returns an empty array, data events are not included in the trail's logging configuration; therefore, object-level API operations performed on S3 buckets within your AWS account are not being recorded. 6. Repeat steps 1-5 to verify the configuration of each trail. 7. Change the AWS region by updating the `--region` command parameter, and perform the audit process for other regions.",
+ "AdditionalInformation": "",
+ "References": "https://docs.aws.amazon.com/AmazonS3/latest/user-guide/enable-cloudtrail-events.html",
+ "DefaultValue": ""
+ }
+ ]
+ },
+ {
+ "Id": "4.1",
+ "Description": "Ensure unauthorized API calls are monitored",
+ "Checks": [
+ "cloudwatch_log_metric_filter_unauthorized_api_calls"
+ ],
+ "Attributes": [
+ {
+ "Section": "4 Monitoring",
+ "Profile": "Level 2",
+ "AssessmentStatus": "Manual",
+ "Description": "Real-time monitoring of API calls can be achieved by directing CloudTrail Logs to CloudWatch Logs or an external Security Information and Event Management (SIEM) environment, and establishing corresponding metric filters and alarms. It is recommended that a metric filter and alarm be established for unauthorized API calls.",
+ "RationaleStatement": "CloudWatch is an AWS native service that allows you to observe and monitor resources and applications. CloudTrail logs can also be sent to an external Security Information and Event Management (SIEM) environment for monitoring and alerting. Monitoring unauthorized API calls will help reduce the time it takes to detect malicious activity and can alert you to potential security incidents.",
+ "ImpactStatement": "This alert may be triggered by normal read-only console activities that attempt to opportunistically gather optional information but gracefully fail if they lack the necessary permissions. If an excessive number of alerts are generated, then an organization may wish to consider adding read access to the limited IAM user permissions solely to reduce the number of alerts. In some cases, doing this may allow users to actually view some areas of the system; any additional access granted should be reviewed for alignment with the original limited IAM user intent.",
+ "RemediationProcedure": "If you are using CloudTrail trails and CloudWatch, perform the following steps to set up the metric filter, alarm, SNS topic, and subscription: 1. Create a metric filter based on the provided filter pattern that checks for unauthorized API calls and uses the `` taken from audit step 1: ``` aws logs put-metric-filter --log-group-name --filter-name --metric-transformations metricName=unauthorized_api_calls_metric,metricNamespace=CISBenchmark,metricValue=1 --filter-pattern { ($.errorCode =*UnauthorizedOperation) || ($.errorCode =AccessDenied*) && ($.sourceIPAddress!=delivery.logs.amazonaws.com) && ($.eventName!=HeadBucket) } ``` **Note**: You can choose your own `metricName` and `metricNamespace` strings. Using the same `metricNamespace` for all Foundations Benchmark metrics will group them together. 2. Create an SNS topic that the alarm will notify: ``` aws sns create-topic --name ``` **Note**: You can execute this command once and then reuse the same topic for all monitoring alarms. **Note**: Capture the `TopicArn` that is displayed when creating the SNS topic in step 2. 3. Create an SNS subscription for the topic created in step 2: ``` aws sns subscribe --topic-arn --protocol --notification-endpoint ``` **Note**: You can execute this command once and then reuse the same subscription for all monitoring alarms. 4. Create an alarm that is associated with the CloudWatch Logs metric filter created in step 1 and the SNS topic created in step 2: ``` aws cloudwatch put-metric-alarm --alarm-name unauthorized_api_calls_alarm --metric-name unauthorized_api_calls_metric --statistic Sum --period 300 --threshold 1 --comparison-operator GreaterThanOrEqualToThreshold --evaluation-periods 1 --namespace CISBenchmark --alarm-actions