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awarexoneawarexone/Agentic-Bug-Hunter/skills/jsmax/SKILL.md

jsmax

Skill5.9k starsChanged 5 months agoMITView on GitHub

High-impact JavaScript analysis and exploitation engine. Use when you have a list of JS URLs and need to extract secrets, endpoints, JWTs, MD5 hashes, and critical data to prove high-impact vulnerabilities (PII dump, cloud takeover).

1 other project uses a version of this.

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The file

Show its rules and text

We split this skill into the rules it gives an agent

15 rules. About 0 are common, 7 are distinctive, and 8 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 8

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Verification: After each batch, verify that PROGRESS|END matches the expected offset.

    line 14
  2. Very specific:

    Failures: If a file fails to download (FAILURE status), try to analyze the URL itself for patterns or note it for a manual retry later.

    line 15
  3. Distinctive:

    When given a file containing JS URLs:

    line 18
  4. Very specific:

    Initialize: Create a temporary directory for downloads (e.g., ./jsmax_downloads).

    line 19
  5. Very specific:

    Fetch in Batches: Use scripts/fetch_js.py to download JS files.

    line 20
  6. Very specific:

    Read Content: Use read_file to bring the JS content into your context.

    line 29
  7. Distinctive:

    Scan for Juice: Use your internal reasoning to identify:

    line 30
  8. Very specific:

    Admin & Internal Entry Points: Look for pointers to admin paths, resources, or data (e.g., /api/admin, window.adminUrl, subdomains like …

    line 40
  9. Distinctive:

    After identifying juice, escalate to show maximum impact:

    line 48
  10. Very specific:

    Verify & Escalate: Use run_shell_command (curl, httpx, jwt_tool, etc.) to verify findings.

    line 50
  11. Distinctive:

    If you find AWS keys, try to list buckets or get identity.

    line 51
  12. Very specific:

    If you find a JWT, check for none algorithm or sensitive claims.

    line 52
  13. Distinctive:

    If you find an MD5 hash, check for common values.

    line 53
  14. Distinctive:

    If you find an admin endpoint, check for IDOR or auth bypass.

    line 54
  15. Distinctive:

    After each batch is processed and results saved, delete the downloaded JS files to save space.

    line 58

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

JSMAX: High-Impact JS Analysis & Exploitation

You are a top 1% bug hunter. Your goal is to find critical vulnerabilities by analyzing EVERY JavaScript file provided. Missing a single file could mean missing a P0.

Workflow

1. Persistence & Completeness Mandate

  • Zero Misses: You MUST track progress until the total URL count is reached.
  • Verification: After each batch, verify that PROGRESS|END matches the expected offset.
  • Failures: If a file fails to download (FAILURE status), try to analyze the URL itself for patterns or note it for a manual retry later.

2. Fetching & Batching

When given a file containing JS URLs:

  1. Initialize: Create a temporary directory for downloads (e.g., ./jsmax_downloads).
  2. Fetch in Batches: Use scripts/fetch_js.py to download JS files.
    python scripts/fetch_js.py <url_list_file> ./jsmax_downloads 10 <offset>
    • Script outputs: PROGRESS|START|offset|end|total, SUCCESS|url|path, FAILURE|url|reason, and PROGRESS|END|end|total.
  3. Iterate: Continue incrementing the <offset> by the batch size until end == total.

3. Intelligent Analysis

For each JS file:

  1. Read Content: Use read_file to bring the JS content into your context.
  2. Scan for Juice: Use your internal reasoning to identify:
    • Secrets & API Keys:
      • Cloud: AWS (AKIA/ASIA), Azure (Connection Strings, SAS Tokens), GCP (API Keys, Service Account JSONs).
      • SaaS: Stripe, Firebase, Twilio, SendGrid, Mailgun, Slack (Webhooks/Tokens), Discord Webhooks.
      • Social/Maps: Google Maps, Facebook/Twitter App Secrets, Mapbox.
      • Auth: OAuth Client Secrets, Auth0/Okta configurations.
    • Tokens & Credentials:
      • CI/CD: GitHub PATs (ghp_), GitLab (glpat-), Jenkins, CircleCI, Heroku API Keys.
      • Database: MongoDB URIs, PostgreSQL/MySQL connection strings, Redis passwords (found in config snippets).
      • Generic: Bearer tokens, hardcoded basic auth (Authorization: Basic ...), JWTs.
    • Admin & Internal Entry Points: Look for pointers to admin paths, resources, or data (e.g., /api/admin, window.adminUrl, subdomains like admin-dev.target.com).
    • Critical Data & Leakage:
      • PII: Hardcoded email lists, phone numbers, or user IDs.
      • Infrastructure: Internal IP addresses (10.x, 172.x, 192.x), S3 bucket names, SSH keys (-----BEGIN RSA PRIVATE KEY-----).
      • Logic: PostMessage vulnerabilities, insecure storage, sensitive data in comments.
  3. Map Findings: Maintain a mapping of JS_URL -> Findings.

4. Exploitation & Impact (The "Money" Phase)

After identifying juice, escalate to show maximum impact:

  1. Reference Patterns: Consult references/exploitation.md for escalation strategies.
  2. Verify & Escalate: Use run_shell_command (curl, httpx, jwt_tool, etc.) to verify findings.
    • If you find AWS keys, try to list buckets or get identity.
    • If you find a JWT, check for none algorithm or sensitive claims.
    • If you find an MD5 hash, check for common values.
    • If you find an admin endpoint, check for IDOR or auth bypass.
  3. Document: Save all findings and exploitation proof in jsmax_results.md. Include a summary of Total URLs vs Analyzed URLs to confirm completeness.

5. Cleanup

After each batch is processed and results saved, delete the downloaded JS files to save space.

Reporting Format

For every finding, follow this structure in jsmax_results.md:

  • JS URL: [Source URL]
  • Found: [Secret/Endpoint/Logic]
  • Evidence: [Snippet or path]
  • Impact: [How it leads to PII dump, Cloud Takeover, etc.]
  • PoC: [Steps to reproduce the high-impact finding]

Core Mandate

Be aggressive. Think like a hunter. Don't just find keys; show what they can unlock. Focus on P1/P0 impact.

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