skills/mukul975/anthropic-cybersecurity-skills/performing-timeline-reconstruction-with-plaso/Gen Agent Trust Hub
performing-timeline-reconstruction-with-plaso
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONPRIVILEGE_ESCALATION
Full Analysis
- [COMMAND_EXECUTION]: The
scripts/agent.pyscript usessubprocess.runto execute external forensic tools such aslog2timeline.pyandpsort.py. This behavior is the intended purpose of the script, serving as a wrapper to automate forensic workflows. - [PRIVILEGE_ESCALATION]: Documentation in
SKILL.mdincludes commands usingsudoto install the Plaso toolset and manage Docker containers. These are standard system administration tasks required for setting up a forensic environment. - [INDIRECT_PROMPT_INJECTION]: The skill ingest and processes external forensic evidence from disk images and logs. There is a theoretical surface for indirect prompt injection if an attacker embeds malicious instructions within the logs being processed, which is a common risk factor in digital forensics analysis.
- Ingestion points: Forensic images (dd, E01, VMDK) and exported CSV/JSONL files in
scripts/agent.pyandSKILL.md. - Boundary markers: None specific; uses standard CSV parsing.
- Capability inventory: File system writes (creating storage files/reports), subprocess execution (running forensic tools).
- Sanitization: Standard CSV DictReader used; no specific NL-level sanitization for ingested log content.
Audit Metadata