Welcome to the EpicGames XAL repository! This project focuses on reverse engineering the xal value used by Epic Games to generate the hCaptcha data blob. By doing so, we enable the analysis of client-side behavior tracking, providing insights into how these systems operate.

• Introduction
• Features
• Installation
• Usage
• Understanding XAL
• Contributing
• License
• Support
• Links

The xal value is a critical component in how Epic Games generates data for hCaptcha. This repository aims to demystify the process by offering tools and insights that can be used for further research and development.

• Reverse Engineering: Understand how the xal value is generated.
• Data Analysis: Analyze client-side behavior tracking.
• Python Toolkit: Utilize a robust Python-based toolkit for easy integration.
• HTTP Toolkit: Use built-in tools to monitor and analyze HTTP requests.

To get started, clone the repository to your local machine:

git clone https://github.com/RedoHoca/epicgames-xal.git
cd epicgames-xal

Next, install the required Python packages:

pip install -r requirements.txt

To use the tools provided in this repository, first ensure you have downloaded the necessary files from the Releases section. Execute the downloaded files according to the provided instructions.

Here are some basic commands to get you started:

python main.py --option value

Replace --option and value with the actual options you wish to use. For detailed command options, refer to the documentation in the docs folder.

The xal value is not just a random string; it plays a significant role in how hCaptcha and Epic Games track user behavior. Understanding this value can help in various fields, including security research and data analysis.

hCaptcha is a service that helps websites protect themselves from bots. It does this by requiring users to complete challenges that are easy for humans but difficult for automated systems. The xal value is part of this process.

The xal value is generated based on specific algorithms that consider user behavior and other parameters. By reverse engineering this value, we can gain insights into how these algorithms function and potentially improve our own applications.

We welcome contributions from anyone interested in enhancing this project. If you wish to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or fix.
3. Commit your changes.
4. Push to your forked repository.
5. Submit a pull request.

Please ensure your code adheres to the existing style and includes appropriate tests.

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

If you encounter any issues or have questions, feel free to open an issue in the repository. We aim to respond promptly and assist you with any challenges you face.

For more resources, visit the Releases section to download the latest files and tools.

Thank you for your interest in EpicGames XAL! We hope you find this repository useful for your projects and research.