skills/mukul975/anthropic-cybersecurity-skills/analyzing-threat-landscape-with-misp/Gen Agent Trust Hub
analyzing-threat-landscape-with-misp
Pass
Audited by Gen Agent Trust Hub on Mar 15, 2026
Risk Level: SAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill functions by ingesting external data from a MISP platform, which is an untrusted source. While the data is used for analysis and reporting, it represents a surface for indirect prompt injection if an agent later consumes the generated report as trusted input.\n
- Ingestion points:
misp.search()inscripts/agent.pyfetches data from the configured MISP URL.\n - Boundary markers: Absent; findings are directly interpolated into the JSON report.\n
- Capability inventory: The script writes data to the file system (
landscape_report.json) and prints summary statistics to the console.\n - Sanitization: Basic sanitization (stripping quotes) is applied to tag names, but other attribute values are processed as received.\n- [SAFE]: Analysis of the source code confirms no malicious behaviors. Network connections are restricted to the user-provided MISP URL and API key. No hardcoded credentials or obfuscated code segments were found. The use of the
--no-sslflag is provided as a user option for local or self-signed environments.
Audit Metadata