pytha-fuzz 1.2

PYTHA is a Python-based directory fuzzer tool designed to aid in the discovery of hidden or sensitive directories and files on web servers. Originally developed by Shivang. Packed and moduled by the author.

Directory Search Tool (FUZZER)

[!IMPORTANT] The current author does not own the repository. It is owned by Shivang. This is just a module distribution instead of direct source code. Kindly star the original repository if you want to.

Introduction

FUZZER is a simple pytha-fuzz tool developed by Shivang-Maurya It helps you discover directories on a target website by probing different paths. This tool is designed for security testing, web application analysis, and penetration testing.

Features

• Fast and efficient directory scanning
• Customizable User-Agent header
• Option to follow HTTP redirects
• Verbose mode for detailed output
• Save results to an output file
• Colorful and user-friendly command-line interface

Installation

1. Install from Build:

   git clone https://github.com/shivangmauryaa/pytha-fuzz.git
   cd pytha-fuzz
   python setup.py install
   

2. Install from PyPi as Module (Recommended):

   pip install pytha-fuzz
   

Usage

Use the following command-line arguments to run pytha-fuzz:

-u or --url: The target URL to search (required).
-w or --wordlist: Wordlist file containing directories to check.
-t or --timeout: Timeout for HTTP requests (default: 5.0 seconds).
-ua or --user-agent: Custom User-Agent header for HTTP requests (default: DirectorySearchBot).
-f or --follow-redirects: Follow HTTP redirects (optional).
-v or --verbose: Enable verbose mode (optional).
-o or --output: Output file to save results (optional).

Example usage:

fuzz -u http://example.com -w wordlist.txt -o output.txt    // Custom
fuzz -u http://example.com // Auto

Author

Shivang Maurya

Dist Maintainer:

halfstackpgr

License

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

Support

For bug reports, feature requests, or general inquiries, please create an issue. for more good result use your self made wordlist

Default Wordlist: wordlist.txt