analyzing-campaign-attribution-evidence
Pass
Audited by Gen Agent Trust Hub on Jul 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements established cybersecurity frameworks for threat actor attribution, such as the Diamond Model and Analysis of Competing Hypotheses (ACH). The logic is transparent and directly supports its stated purpose.- [SAFE]: Identified Python dependencies (attackcti, stix2, networkx, requests) are legitimate, well-known libraries in the cyber threat intelligence community for processing STIX data and MITRE ATT&CK information.- [SAFE]: No indicators of data exfiltration, credential harvesting, or unauthorized network communication were found. References to third-party APIs (PassiveTotal, VirusTotal) are for instructional purposes with no hardcoded keys.- [SAFE]: The skill does not contain any obfuscated code, hidden instructions, or attempts to execute arbitrary shell commands or remote scripts.
Audit Metadata