building-incident-timeline-with-timesketch
Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data (including Plaso output) for attack chain reconstruction and investigation documentation. Use when reconstructing the sequence of events during an incident investigation or when multiple analysts need to jointly tag, annotate, and search a shared DFIR timeline.
68
82%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill prompt includes hardcoded credentials in example code (username "analyst" and password "password"), which instructs reproducing secrets verbatim and is therefore insecure.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
In `scripts/agent.py`, the `search_events()` function POSTs an attacker-controlled `--query` string to the Timesketch endpoint `/api/v1/sketches/{sketch_id}/explore/`, and the agent then ingests the returned event text (e.g., `message`) into `build_timeline_summary()` without selecting a specific trusted item first.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The Docker deployment instructions include a runtime git clone of remote code (git clone https://github.com/google/timesketch.git) which fetches repository code that is then executed via docker compose, so the skill relies on and executes external code from that URL.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
e612f49
- Audited
- Security analysis
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