analyzing-browser-forensics-with-hindsight
Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.
64
77%
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Critical
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tessl review fix ./skills/analyzing-browser-forensics-with-hindsight/SKILL.mdSecurity
1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E005: Suspicious download URL detected in skill instructions.
What this means
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Why it was flagged
The list contains multiple high-risk sources: a direct .exe download from a suspicious CDN, a phishing-themed domain, and several file-sharing/raw-paste hosts (Drive/MEGA/transfer.sh/Pastebin) commonly used to distribute malware or obscure payloads.
Low
Low-risk findings.
1 low severity finding. 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
The runtime workflow reads browser artifact text (e.g., URL/title strings and download source URLs) directly from an investigator-provided Chromium profile SQLite databases via scripts/agent.py functions like parse_history() and parse_downloads() using profile_path joined with History/URLs fields.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
e612f49
- Audited
- Security analysis
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