LinkxDoxer

LinkxDoxer is a Python script designed to efficiently retrieve all links found directly under the webpage of a given URL. It is ideal for web developers, bug bounty hunters, and OSINT (Open-Source Intelligence) enthusiasts seeking to analyze links under a webpage and uncover valuable information(Expected In Ideal Cases)

Features

• Retrieves all links found directly under the webpage of a given URL.
• Supports HTTP and HTTPS URLs.
• Customizable number of retries and delay between retries to handle network issues gracefully(Code Edit).
• Provides detailed error messages for better troubleshooting.

New Features | Version LinkxDoxer 1.2:

• Enhanced Link Extraction: Version 1.2 improves the accuracy and reliability of extracting all links from a webpage, ensuring no relevant links are missed.
• Retry Mechanism: Includes a robust retry mechanism for handling network issues, making the tool more reliable even in unstable network conditions.
• User-Friendly Save Option: Adds a convenient feature to save extracted links to a file with user confirmation and file existence check, preventing accidental overwrites.

Getting Started

1. Installation:
   • Clone this repository to your local machine.

   git clone https://github.com/BilalAhmadKhanKhattak/LinkxDoxer.git
   

2. Prerequisites:
   • Python 3
   • Install required dependencies using pip:

   pip install -r requirements.txt
   

3. Usage:
   • Run the script using Python:

   python LinkxDoxer_v1.1.py
   

   • Enter the website URL when prompted and press Enter.
4. Output:
   • The script will display all the links found directly under the provided URL.

Customization

You can customize the behavior of the script by modifying the following parameters in the script:

• retries: The number of times the script will retry retrieving the webpage in case of failures.
• delay: The delay (in seconds) between retry attempts.

Contributing

Contributions are welcome! If you find any bugs or have suggestions for improvement, please open an issue

License

This project is licensed under the CC BY-NC 4.0 LEGAL CODE Attribution-NonCommercial 4.0 International License - see the LICENSE.txt file for details.

Author

• Bilal Ahmad Khan aka BILRED
• https://github.com/BilalAhmadKhanKhattak
• https://www.youtube.com/c/techambition