skills/mukul975/anthropic-cybersecurity-skills/analyzing-slack-space-and-file-system-artifacts/Gen Agent Trust Hub
analyzing-slack-space-and-file-system-artifacts
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill downloads and installs legitimate forensic analysis libraries, specifically
analyzeMFTandpyusn, from the Python Package Index (PyPI). \n- [COMMAND_EXECUTION]: The skill executes several external command-line utilities from The Sleuth Kit (includingblkls,fls,icat,istat, andfsstat) and Eric Zimmerman's forensic toolset (MFTECmd.exe) to process disk images and extract metadata. \n- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted forensic data, such as strings recovered from slack space and filenames from the Master File Table (MFT). This creates a vulnerability surface where malicious instructions embedded within the analyzed evidence could potentially be interpreted by an AI agent during the reporting phase. \n - Ingestion points: Raw disk images (
evidence.dd), extracted MFT files, and USN Journal records (SKILL.md,scripts/agent.py). \n - Boundary markers: Absent; the skill extracts and processes data without specialized delimiters to isolate evidence content from instructions. \n
- Capability inventory: The agent can execute shell commands via
subprocessand write forensic reports to the file system. \n - Sanitization: The scripts use basic error handling during string decoding (
errors=\"replace\") but do not implement content-based filtering for malicious prompts.
Audit Metadata