collecting-threat-intelligence-with-misp

Pass

Audited by Gen Agent Trust Hub on Sep 14, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill instructions and scripts involve downloading the misp-docker repository from the MISP organization's official GitHub repository to facilitate platform deployment. This is documented neutrally as a standard administrative task using a well-known service.
  • [REMOTE_CODE_EXECUTION]: Deploying the threat intelligence platform involves executing Docker containers and configurations retrieved from the MISP project. This behavior is the primary and intended purpose of the skill to establish a local intelligence sharing environment.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process threat intelligence data from external OSINT feeds (such as URLhaus and CIRCL), which constitutes a potential surface for indirect prompt injection via malicious indicators.
  • Ingestion points: External feeds configured in SKILL.md and processed via scripts/process.py (e.g., collect_recent_iocs).
  • Boundary markers: The filter_warninglists function in scripts/process.py is present to filter indicators against known-good lists, reducing the risk of malicious or false-positive data ingestion.
  • Capability inventory: The skill includes capabilities to write data to the local file system (e.g., export_csv, export_stix2 in scripts/process.py).
  • Sanitization: The skill utilizes structured data formats (JSON, CSV, STIX 2.1) and the official PyMISP library to handle and validate external content.
  • [COMMAND_EXECUTION]: The documentation provides shell commands for cloning repositories and initializing the environment using Docker, which are standard for the described DevOps workflow.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 14, 2026, 05:49 PM