JS Hunt - JavaScript Credentials Hunter

This Python toolkit is designed to hunt for high-value secrets, API keys, and database credentials exposed within JavaScript files found on target web applications.

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🧾 main.py

📌 Purpose

Automated scanning and extraction of sensitive credentials from JS files (e.g., target.com). Identifies:

• AWS Keys: AKIA/ASIA Access Keys + Secret Keys + Region extraction.
• Stripe: Live secret keys with optional Telegram alerts.
• Database Connection Strings: Validated MongoDB, PostgreSQL, MySQL, Redis, and MSSQL URLs.
• Tokens: GitHub Personal Access Tokens (PAT) and Slack Tokens.

🛠 How It Works

1. Target Gathering: Accepts single URLs or lists. Automatically probes for .js, .ts, .mjs, and .env files.
2. Spidering: Curls the base URL to find scripts via HTML tags and regex-based discovery of hidden paths.
3. Logic Gate V4: Filters out "library noise" from common JS libraries like JSEncrypt or RSA components to minimize false positives.
4. Validation: Uses entropy checks (V5 logic) to ensure detected AWS secret keys are genuine and not random garbage.
5. Notification: Integrates with Telegram API to send real-time alerts when Stripe Live keys are discovered.

📥 Usage

1. pip3 install requests beautifulsoup4 colorama
2. python3 main.py
3. Enter targets file: targets.txt
4. Enter threads: 100 (default)

Piped: echo "targets.txt\n100" | python3 main.py

📁 Output

Results are organized in a timestamped directory JS_Results_YYYY-MM-DD_HH-MM-SS/:

• RESULT-AWS.txt: Formatted AWS credentials.
• RESULT-STRIPE.txt: Stripe secret keys.
• RESULT-DB.txt: Database connection strings.
• RESULT-TOKENS.txt: GitHub and Slack tokens.
• fingerprinted.txt: List of processed URLs.

📦 Dependencies

requests
beautifulsoup4
colorama

pip install requests beautifulsoup4 colorama

⚠️ Legal Disclaimer

For authorized penetration testing & educational purposes only (user confirmed permission under ToS). Unauthorized use illegal/unethical.

👨‍💻 Author

Bob Marley

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