🔍 AppFinger

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A comprehensive protocol fingerprint rule matching library for application identification.

📚 Fingerprint Rules Repository: finger-rules - The rule definitions used by AppFinger

⚙️ Usage

Flags:
APPFINGER:
-l, -url-file string     File containing URLs to scan
-u, -url string[]        Target URL to scan (-u INPUT1 -u INPUT2)
-t, -threads int         Number of concurrent threads (default 10)
-timeout int             Timeout in seconds (default 10)
-x, -proxy string        HTTP proxy to use for requests (e.g. http://127.0.0.1:7890)
-s, -stdin               Read URLs from stdin
-d, -finger-home string  Finger YAML directory home (default is built-in)

HELP:
-debug                   Enable debug mode

OUTPUT:
-o, -output string       File to write output to

💻 Example

appfinger -u https://example.com

🔌 How it Works

AppFinger scans web applications by analyzing their unique fingerprints, providing valuable insights into the technologies used.

• Deep Detection Comparison

Figure: Comparison of standard detection vs deep detection

👥 Contributing

Feel free to contribute to AppFinger by opening issues or submitting pull requests on GitHub.

🔐 License

AppFinger is licensed under the MIT License. See the LICENSE file for details.