detection-sigma
Pass
Audited by Gen Agent Trust Hub on Jun 18, 2026
Risk Level: SAFENO_CODEPROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [NO_CODE]: The skill documentation and workflows reference several Python scripts (e.g.,
scripts/sigma_convert.py,scripts/sigma_validate.py, andscripts/compliance_coverage.py) that are not included in the provided file set. The skill consists entirely of markdown documentation and YAML rule templates.\n- [SAFE]: All identified dependencies and external references point to official, well-known security projects and repositories (e.g., SigmaHQ, pySigma, MITRE ATT&CK). No suspicious external communication or code execution was found.\n- [PROMPT_INJECTION]: The skill is designed to ingest third-party Sigma rules from a local directory (rules/). This creates an indirect prompt injection surface where malicious instructions could be embedded in the rule logic or metadata to influence the agent during processing.\n - Ingestion points: Reads Sigma rules from the
rules/directory for validation and conversion workflows.\n - Boundary markers: None identified in the provided templates or instructional text.\n
- Capability inventory: Implies file read/write and network capabilities through its mentioned (but absent) scripts.\n
- Sanitization: No input validation or sanitization of rule content is described.\n- [DATA_EXFILTRATION]: Example Python code provided in the documentation (
references/backend-support.md) demonstrates disabling SSL certificate verification (verify=False) when interacting with SIEM APIs. While provided as a template, this is a discouraged security practice that could facilitate data interception if implemented without modification.
Audit Metadata