skills/mukul975/anthropic-cybersecurity-skills/implementing-honeypot-for-ransomware-detection/Gen Agent Trust Hub
implementing-honeypot-for-ransomware-detection
Pass
Audited by Gen Agent Trust Hub on Sep 24, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill monitors file system activity and parses logs, creating an attack surface for indirect prompt injection.
- Ingestion points: The scripts
scripts/agent.pyandscripts/process.pyread file names, metadata, and log entries (e.g., in functions likeanalyze_honeypot_logsanddetect_ransomware_indicators). - Boundary markers: There are no explicit delimiters or instructions for the agent to ignore potentially malicious content within the monitored data.
- Capability inventory: The skill includes capabilities for file system modification and network operations (demonstrated via
requestsin the SIEM integration snippets). - Sanitization: The skill does not implement explicit sanitization of the data ingested from the file system or logs before processing it.
- [COMMAND_EXECUTION]: The skill utilizes administrative shell commands to configure system security and network shares.
- Evidence:
SKILL.mdincludes PowerShell commands such asInstall-WindowsFeature,New-SmbShare, andauditpolfor managing Windows File Server Resource Manager and auditing policies. - [EXTERNAL_DOWNLOADS]: The skill fetches document tokens from an external security service.
- Evidence:
SKILL.mdcontainscurlcommands targetingcanary.toolsto generate and download canary files used for ransomware detection.
Audit Metadata