security-detections-mcp

Pass

Audited by Gen Agent Trust Hub on Jul 5, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill documentation includes instructions to clone several well-known security detection repositories from GitHub, such as SigmaHQ, Splunk Security Content, and Elastic Detection Rules, to serve as local data sources.
  • [COMMAND_EXECUTION]: The installation process involves executing npx to run the MCP server and using curl to download the MITRE ATT&CK dataset. These are standard operations for setting up the tool's environment.
  • [DATA_EXFILTRATION]: The hosted version of the skill makes requests to detect.michaelhaag.org to perform queries, which involves sending an authorization token and user-provided search terms to the vendor's API.
  • [PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection due to its core function of processing external security rules.
  • Ingestion points: Data is ingested from local rule directories and a hosted remote API.
  • Boundary markers: There are no explicit instructions or delimiters provided to the agent to distinguish between its system guidelines and instructions potentially found within the fetched detection rules.
  • Capability inventory: The agent can search, analyze, and generate detections based on the ingested content.
  • Sanitization: The skill does not describe any specific validation or sanitization of the rule content before it is processed by the AI agent.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 5, 2026, 12:40 AM
Security Audit — agent-trust-hub — security-detections-mcp