analyzing-browser-forensics-with-hindsight
Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.
69
62%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Critical
Do not install without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-browser-forensics-with-hindsight/SKILL.mdSecurity
2 findings — 1 critical severity, 1 high severity. 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
Suspicious download URL detected (high risk: 0.90). Yes — several entries are high-risk distribution vectors (a direct .exe on an untrusted CDN, personal file-hosting links like MEGA/Google Drive/transfer.sh, a suspicious "phish-domain" and pastebin raw content) that are commonly used to deliver malware, even though some links (official GitHub, Chromium source, documentation, corporate/protonmail, and localhost) appear benign.
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
Insecure credential handling detected (high risk: 1.00). The skill explicitly instructs extracting and reporting browser artifacts such as HTTP cookies, session tokens, and saved login credentials (saved passwords/auth-tokens) which would require the agent to include secret values verbatim in its output, creating an exfiltration risk.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
c15f73d
- Audited
- Security analysis
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