diff --git a/mcp_server/CHANGELOG.md b/mcp_server/CHANGELOG.md index bc9a124e04..ff4af8b0b7 100644 --- a/mcp_server/CHANGELOG.md +++ b/mcp_server/CHANGELOG.md @@ -2,6 +2,10 @@ All notable changes to the **Prowler MCP Server** are documented in this file. +## [0.4.0] (Prowler UNRELEASED) + +- Add new MCP Server tools for Prowler Attack Paths [(#10145)](https://github.com/prowler-cloud/prowler/pull/10145) + ## [0.3.0] (Prowler v5.16.0) ### Added diff --git a/mcp_server/prowler_mcp_server/prowler_app/models/attack_paths.py b/mcp_server/prowler_mcp_server/prowler_app/models/attack_paths.py new file mode 100644 index 0000000000..bc048918aa --- /dev/null +++ b/mcp_server/prowler_mcp_server/prowler_app/models/attack_paths.py @@ -0,0 +1,338 @@ +"""Data models for Attack Paths scans and queries. + +This module provides Pydantic models for representing Attack Paths data +with two-tier complexity: +- AttackPathScan: For list operations with essential fields +- AttackPathQuery: Query definition with parameters +- AttackPathQueryResult: Graph result with nodes, relationships, and summary + +All models inherit from MinimalSerializerMixin to exclude None/empty values +for optimal LLM token usage. +""" + +from typing import Any, Literal + +from prowler_mcp_server.prowler_app.models.base import MinimalSerializerMixin +from pydantic import BaseModel, ConfigDict, Field + + +class AttackPathScan(MinimalSerializerMixin, BaseModel): + """Simplified attack paths scan representation for list operations. + + Includes core fields for efficient overview. + Used by list_attack_paths_scans() tool. + """ + + model_config = ConfigDict(frozen=True) + + id: str = Field(description="Unique UUIDv4 identifier for this attack paths scan") + state: Literal[ + "available", "scheduled", "executing", "completed", "failed", "cancelled" + ] = Field( + description="Current state of the scan: available, scheduled, executing, completed, failed, or cancelled" + ) + progress: int = Field( + default=0, description="Scan completion progress as percentage (0-100)" + ) + provider_id: str = Field( + description="UUIDv4 identifier of the provider this scan is associated with" + ) + provider_alias: str | None = Field( + default=None, + description="Human-friendly alias for the provider", + ) + provider_type: str | None = Field( + default=None, + description="Cloud provider type (aws, azure, gcp, etc.)", + ) + provider_uid: str | None = Field( + default=None, + description="Provider's external identifier (e.g., AWS Account ID)", + ) + + @classmethod + def from_api_response(cls, data: dict[str, Any]) -> "AttackPathScan": + """Transform JSON:API attack paths scan response to simplified model. + + Args: + data: Scan data from API response['data'] (single item or list item) + + Returns: + AttackPathScan instance + """ + attributes = data["attributes"] + relationships = data.get("relationships", {}) + + provider_id = relationships.get("provider", {}).get("data", {}).get("id") + + return cls( + id=data["id"], + state=attributes["state"], + progress=attributes.get("progress", 0), + provider_id=provider_id, + provider_alias=attributes.get("provider_alias"), + provider_type=attributes.get("provider_type"), + provider_uid=attributes.get("provider_uid"), + ) + + +class AttackPathScansListResponse(BaseModel): + """Response model for list_attack_paths_scans() with pagination metadata. + + Follows established pattern from ScansListResponse. + """ + + scans: list[AttackPathScan] + total_num_scans: int + total_num_pages: int + current_page: int + + @classmethod + def from_api_response( + cls, response: dict[str, Any] + ) -> "AttackPathScansListResponse": + """Transform JSON:API list response to scans list with pagination. + + Args: + response: Full API response with data and meta + + Returns: + AttackPathScansListResponse with simplified scans and pagination metadata + """ + pagination = response.get("meta", {}).get("pagination", None) + + if pagination is None: + raise ValueError("Missing pagination metadata in API response") + else: + # Transform each scan + scans = [ + AttackPathScan.from_api_response(item) + for item in response.get("data", []) + ] + + return cls( + scans=scans, + total_num_scans=pagination.get("count"), + total_num_pages=pagination.get("pages"), + current_page=pagination.get("page"), + ) + + +class AttackPathQueryParameter(MinimalSerializerMixin, BaseModel): + """Parameter definition for an attack paths query. + + Describes a parameter that must be provided when running a query. + """ + + model_config = ConfigDict(frozen=True) + + name: str = Field(description="Parameter name used in the query") + label: str = Field(description="Human-readable label for the parameter") + data_type: str = Field( + default="string", description="Data type of the parameter (e.g., 'string')" + ) + description: str | None = Field( + default=None, description="Detailed description of what the parameter is for" + ) + placeholder: str | None = Field( + default=None, description="Example value for the parameter" + ) + + @classmethod + def from_api_response(cls, data: dict[str, Any]) -> "AttackPathQueryParameter": + """Transform parameter data to model. + + Args: + data: Parameter data from API response + + Returns: + AttackPathQueryParameter instance + """ + return cls( + name=data["name"], + label=data["label"], + data_type=data.get("data_type", "string"), + description=data.get("description"), + placeholder=data.get("placeholder"), + ) + + +class AttackPathQuery(MinimalSerializerMixin, BaseModel): + """Attack paths query definition. + + Describes a query that can be executed against the attack paths graph. + """ + + model_config = ConfigDict(frozen=True) + + id: str = Field(description="Unique identifier for the query") + name: str = Field(description="Human-readable name for the query") + description: str = Field(description="Detailed description of what the query finds") + provider: str = Field(description="Cloud provider type this query applies to") + parameters: list[AttackPathQueryParameter] = Field( + default_factory=list, description="Parameters required to execute the query" + ) + + @classmethod + def from_api_response(cls, data: dict[str, Any]) -> "AttackPathQuery": + """Transform query data to model. + + Handles JSON:API format where fields are nested under 'attributes'. + + Args: + data: Query data from API response (JSON:API format) + + Returns: + AttackPathQuery instance + """ + # JSON:API format has attributes nested + attributes = data.get("attributes", {}) + + parameters = [ + AttackPathQueryParameter.from_api_response(p) + for p in attributes.get("parameters", []) + ] + + return cls( + id=data["id"], + name=attributes["name"], + description=attributes["description"], + provider=attributes["provider"], + parameters=parameters, + ) + + +class AttackPathsGraphNode(MinimalSerializerMixin, BaseModel): + """A node in the attack paths graph. + + Represents a cloud resource, finding, or virtual node in the graph. + """ + + model_config = ConfigDict(frozen=True) + + resource_id: str = Field(description="ID of the resource represented by this node") + labels: list[str] = Field( + description="Node labels (e.g., 'EC2Instance', 'S3Bucket', 'ProwlerFinding')" + ) + properties: dict[str, Any] = Field( + default_factory=dict, description="Node properties" + ) + # Extracted security-relevant fields for easier access + severity: str | None = Field( + default=None, description="Severity level for ProwlerFinding nodes" + ) + status: str | None = Field( + default=None, description="Status for ProwlerFinding nodes (FAIL/PASS)" + ) + status_extended: str | None = Field( + default=None, description="Extended status for ProwlerFinding nodes" + ) + + @classmethod + def from_api_response(cls, data: dict[str, Any]) -> "AttackPathsGraphNode": + """Transform node data to model. + + Args: + data: Node data from API response + + Returns: + AttackPathsGraphNode instance with extracted fields + """ + properties = data.get("properties", {}) + labels = data.get("labels", []) + + # Extract security-relevant fields from properties + if "ProwlerFinding" in labels: + severity = properties.get("severity", None) + status = properties.get("status", None) + status_extended = properties.get("status_extended", None) + else: + severity = None + status = None + status_extended = None + + return cls( + resource_id=properties.get("id", ""), + labels=labels, + properties=properties, + severity=severity, + status=status, + status_extended=status_extended, + ) + + +class AttackPathsGraphRelationship(MinimalSerializerMixin, BaseModel): + """A relationship (edge) in the attack paths graph. + + Represents a connection between two nodes. + """ + + model_config = ConfigDict(frozen=True) + + id: str = Field(description="Unique identifier for the relationship") + label: str = Field( + description="Relationship type (e.g., 'CAN_ACCESS', 'STS_ASSUMEROLE_ALLOW')" + ) + source: str = Field(description="ID of the source node") + target: str = Field(description="ID of the target node") + + @classmethod + def from_api_response(cls, data: dict[str, Any]) -> "AttackPathsGraphRelationship": + """Transform relationship data to model. + + Args: + data: Relationship data from API response + + Returns: + AttackPathsGraphRelationship instance + """ + return cls( + id=data["id"], + label=data["label"], + source=data["source"], + target=data["target"], + ) + + +class AttackPathQueryResult(MinimalSerializerMixin, BaseModel): + """Result of executing an attack paths query. + + Contains the graph data (nodes and relationships) plus a summary. + """ + + model_config = ConfigDict(frozen=True) + + nodes: list[AttackPathsGraphNode] = Field( + default_factory=list, description="Nodes in the attack path graph" + ) + relationships: list[AttackPathsGraphRelationship] = Field( + default_factory=list, description="Relationships connecting the nodes" + ) + + @classmethod + def from_api_response( + cls, + response: dict[str, Any], + ) -> "AttackPathQueryResult": + """Transform API response to query result. + + Args: + response: API response with nodes and relationships + + Returns: + AttackPathQueryResult with parsed data and summary + """ + attributes = response.get("data", {}).get("attributes") + nodes_data = attributes.get("nodes", []) + relationships_data = attributes.get("relationships", []) + + nodes = [AttackPathsGraphNode.from_api_response(n) for n in nodes_data] + relationships = [ + AttackPathsGraphRelationship.from_api_response(r) + for r in relationships_data + ] + + return cls( + nodes=nodes, + relationships=relationships, + ) diff --git a/mcp_server/prowler_mcp_server/prowler_app/tools/attack_paths.py b/mcp_server/prowler_mcp_server/prowler_app/tools/attack_paths.py new file mode 100644 index 0000000000..8d7119b9cc --- /dev/null +++ b/mcp_server/prowler_mcp_server/prowler_app/tools/attack_paths.py @@ -0,0 +1,227 @@ +"""Attack Paths tools for Prowler App MCP Server. + +This module provides tools for analyzing Attack Paths data from Neo4j graph database. +Attack Paths help identify security risks by tracing potential attack vectors +through cloud infrastructure relationships. +""" + +from typing import Any, Literal + +from prowler_mcp_server.prowler_app.models.attack_paths import ( + AttackPathQuery, + AttackPathQueryResult, + AttackPathScansListResponse, +) +from prowler_mcp_server.prowler_app.tools.base import BaseTool +from pydantic import Field + + +class AttackPathsTools(BaseTool): + """Tools for Attack Paths analysis. + + Provides tools for: + - prowler_app_list_attack_paths_scans: Find completed scans ready for analysis + - prowler_app_list_attack_paths_queries: Discover available queries for a scan + - prowler_app_run_attack_paths_query: Execute query and analyze attack paths + """ + + async def list_attack_paths_scans( + self, + provider_id: list[str] = Field( + default=[], + description="Filter by Prowler's internal UUID(s) (v4) for specific provider(s). Use `prowler_app_search_providers` tool to find provider IDs", + ), + provider_type: list[str] = Field( + default=[], + description="Filter by cloud provider type (aws, azure, gcp, etc.). Use `prowler_hub_list_providers` to see supported provider types", + ), + state: list[ + Literal[ + "available", + "scheduled", + "executing", + "completed", + "failed", + "cancelled", + ] + ] = Field( + default=["completed"], + description="Filter by scan execution state. Default: ['completed'] to show scans ready for analysis", + ), + page_size: int = Field( + default=50, + description="Number of results to return per page", + ), + page_number: int = Field( + default=1, + description="Page number to retrieve (1-indexed)", + ), + ) -> dict[str, Any]: + """List Attack Paths scans with filtering capabilities. + + Default behavior: + - Returns COMPLETED scans (ready for attack paths analysis) + - Returns 50 scans per page + - Shows the latest scan per provider + + Each scan includes: + - Core identification: id (UUID for get/query operations) + - Execution context: state, progress + - Provider info: provider_id, provider_alias, provider_type, provider_uid + + Workflow: + 1. Use this tool to find completed attack paths scans + 2. Use prowler_app_list_attack_paths_queries to see available queries for a scan + 3. Use prowler_app_run_attack_paths_query to execute analysis + """ + try: + # Validate pagination + self.api_client.validate_page_size(page_size) + + # Build query parameters + params: dict[str, Any] = { + "page[size]": page_size, + "page[number]": page_number, + } + + # Apply provider filters + if provider_id: + params["filter[provider__in]"] = provider_id + if provider_type: + params["filter[provider_type__in]"] = provider_type + + # Apply state filter + if state: + params["filter[state__in]"] = state + + clean_params = self.api_client.build_filter_params(params) + + api_response = await self.api_client.get( + "/attack-paths-scans", params=clean_params + ) + simplified_response = AttackPathScansListResponse.from_api_response( + api_response + ) + + return simplified_response.model_dump() + except Exception as e: + self.logger.error(f"Failed to list attack paths scans: {e}") + return {"error": f"Failed to list attack paths scans: {str(e)}"} + + async def list_attack_paths_queries( + self, + scan_id: str = Field( + description="UUID of a COMPLETED attack paths scan. Use `prowler_app_list_attack_paths_scans` with state=['completed'] to find scan IDs" + ), + ) -> list[dict[str, Any]]: + """Discover available Attack Paths queries for a completed scan. + + IMPORTANT: The scan must be in 'completed' state to list queries. + Queries are provider-specific + + Each query includes: + - id: Query identifier to use with run_attack_paths_query + - name: Human-readable name describing what the query finds + - description: Detailed explanation of the security analysis + - parameters: List of required parameters (if any) + + Example queries (AWS): + - aws-internet-exposed-ec2-sensitive-s3-access: Find EC2 instances exposed to internet with access to sensitive S3 buckets + - aws-iam-privesc-passrole-ec2: Detect privilege escalation via PassRole + EC2 + - aws-ec2-instances-internet-exposed: Find internet-exposed EC2 instances + + Workflow: + 1. Use prowler_app_list_attack_paths_scans to find a completed scan + 2. Use this tool to discover available queries + 3. Use prowler_app_run_attack_paths_query with query_id and any required parameters + """ + try: + api_response = await self.api_client.get( + f"/attack-paths-scans/{scan_id}/queries" + ) + + return [ + AttackPathQuery.from_api_response(query).model_dump() + for query in api_response.get("data", []) + ] + except Exception as e: + self.logger.error( + f"Failed to list attack paths queries for scan {scan_id}: {e}" + ) + return [{"error": f"Failed to list attack paths queries: {str(e)}"}] + + async def run_attack_paths_query( + self, + scan_id: str = Field( + description="UUID of a COMPLETED attack paths scan. The scan must be in 'completed' state" + ), + query_id: str = Field( + description="Query ID to execute (e.g., 'aws-internet-exposed-ec2-sensitive-s3-access'). Use `prowler_app_list_attack_paths_queries` to discover available queries" + ), + parameters: dict[str, str] = Field( + default_factory=dict, + description="Query parameters as key-value pairs. Check query definition for required parameters. Example: {'tag_key': 'DataClassification', 'tag_value': 'Sensitive'}", + ), + ) -> dict[str, Any]: + """Execute an Attack Paths query and analyze the results. + + IMPORTANT: This is the PRIMARY tool for attack paths analysis. + It executes a Cypher query against the Neo4j graph database and returns + the attack path graph with security findings. + + Prerequisites: + - Scan must be in 'completed' state + - query_id must be valid for the scan's provider type + - All required parameters must be provided + + Returns: + - nodes: Cloud resources, findings, and virtual nodes in the attack path + - relationships: Connections between nodes (CAN_ACCESS, STS_ASSUMEROLE_ALLOW, etc.) + + Node types you may see: + - EC2Instance, S3Bucket, RDSInstance, LoadBalancer, etc. (cloud resources) + - ProwlerFinding (security issues with severity and status) + - Internet (virtual node representing external access) + - PrivilegeEscalation (virtual node for escalation outcomes) + + Relationship types: + - CAN_ACCESS: Network access path (often from Internet) + - STS_ASSUMEROLE_ALLOW: IAM role assumption + - MEMBER_OF_EC2_SECURITY_GROUP: Security group membership + - And many more cloud-specific relationships + + Workflow: + 1. Ensure scan is completed + 2. List available queries (use prowler_app_list_attack_paths_queries) + 3. Execute this tool with appropriate parameters + 4. Analyze the returned graph for security insights + """ + try: + # Build the request payload following JSON:API format + request_data: dict[str, Any] = { + "data": { + "type": "attack-paths-query-run-requests", + "attributes": { + "id": query_id, + }, + }, + } + + # Add parameters if provided + if parameters: + request_data["data"]["attributes"]["parameters"] = parameters + + api_response = await self.api_client.post( + f"/attack-paths-scans/{scan_id}/queries/run", + json_data=request_data, + ) + + # Parse the response + query_result = AttackPathQueryResult.from_api_response(api_response) + + return query_result.model_dump() + except Exception as e: + self.logger.error( + f"Failed to run attack paths query '{query_id}' on scan {scan_id}: {e}" + ) + return {"error": f"Failed to run attack paths query '{query_id}': {str(e)}"} diff --git a/mcp_server/uv.lock b/mcp_server/uv.lock index 8781695d7e..f98c2eaa57 100644 --- a/mcp_server/uv.lock +++ b/mcp_server/uv.lock @@ -184,6 +184,15 @@ 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