skills/mukul975/anthropic-cybersecurity-skills/analyzing-ransomware-network-indicators/Gen Agent Trust Hub
analyzing-ransomware-network-indicators
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTIONMETADATA_POISONING
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill fetches a list of TOR exit nodes from the official Tor Project domain (
check.torproject.org). This operation is consistent with the skill's stated purpose of cross-referencing network connections against known TOR infrastructure. - [INDIRECT_PROMPT_INJECTION]: The skill ingests and processes external network connection logs, creating a potential surface for indirect instructions to be processed by the agent.
- Ingestion points:
scripts/agent.pyreads external log data through theparse_zeek_conn_logandparse_netflow_csvfunctions. - Boundary markers: The parsing logic does not implement specific delimiters or instructions to ignore potential commands embedded within the connection log fields.
- Capability inventory: The script includes capabilities to write a JSON report to the local file system and perform network GET requests to fetch threat intelligence.
- Sanitization: Log data is parsed and used for statistical calculations without explicit sanitization or filtering of string-based fields.
- [METADATA_POISONING]: There is a discrepancy between the author 'mahipal' listed in the
SKILL.mdfrontmatter and the author 'mukul975' identified in theLICENSEcopyright notice.
Audit Metadata