skills/mukul975/anthropic-cybersecurity-skills/analyzing-memory-forensics-with-lime-and-volatility/Gen Agent Trust Hub
analyzing-memory-forensics-with-lime-and-volatility
Warn
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: MEDIUMPRIVILEGE_ESCALATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSMETADATA_POISONING
Full Analysis
- [PRIVILEGE_ESCALATION]: The skill performs operations requiring high-level system privileges. Specifically, the 'insmod' command used in 'SKILL.md' and 'scripts/agent.py' for loading the LiME kernel module necessitates root or administrative access.
- [COMMAND_EXECUTION]: The agent script 'scripts/agent.py' uses the 'subprocess' module to execute several system commands, including 'uname', 'insmod', and 'vol3'. These are used to determine system context and run forensic analysis tools.
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data extracted from external memory images, specifically bash command history. This creates a surface for indirect prompt injection where malicious content within the analyzed memory could target the agent's detection regex. Ingestion points: 'extract_bash_history' function in 'scripts/agent.py'. Boundary markers: None identified. Capability inventory: 'subprocess.run' calls throughout 'scripts/agent.py'. Sanitization: The script performs pattern matching for detection but does not sanitize input for safety.
- [EXTERNAL_DOWNLOADS]: 'references/api-reference.md' contains references to official GitHub repositories for 'LiME' and 'Volatility 3'. These are well-known and reputable open-source security tools.
- [METADATA_POISONING]: An inconsistency exists in authorship metadata; the 'SKILL.md' file lists the author as 'mahipal', whereas the 'LICENSE' file attributes the work to 'mukul975'. This discrepancy could be misleading regarding the source of the skill.
Audit Metadata