automating-ioc-enrichment
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill uses well-known Python packages such as
requests,stix2, andshodan. These are standard libraries in the cybersecurity domain and are referenced via official documentation and public registries. - [DATA_EXPOSURE_AND_EXFILTRATION]: The provided Python script (
scripts/agent.py) performs network operations to fetch data from well-known services including VirusTotal and AbuseIPDB. API keys are managed through environment variables or command-line arguments, aligning with standard secret management practices for local automation tools. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process untrusted external data in the form of Indicators of Compromise (IOCs) from sources like SIEM alerts or emails. This ingestion constitutes a potential attack surface; however, the skill focuses on structured enrichment and quantitative scoring rather than interpreting natural language instructions from the data. The documentation also explicitly recommends human review for high-impact actions.
- [COMMAND_EXECUTION]: The SOAR playbook instructions describe standard automation tasks within platforms like Cortex XSOAR. The mentions of commands (e.g.,
!vt-file-scan) are descriptive of platform-specific functions and do not represent executable context injection for the agent itself.
Audit Metadata