Recapthca Forgery Site Welcome to the Recapthca Forgery Site! This project aims to simulate a site that performs forgery attacks against reCAPTCHA, a widely used security measure to prevent bots from abusing web services.

Table of Contents Overview Features Installation Usage Contributing License Overview The Recapthca Forgery Site provides a platform to test and demonstrate the vulnerabilities in reCAPTCHA systems. It allows users to create accounts, simulate human-like behavior, and bypass reCAPTCHA challenges through various methods.

Features User registration and authentication. Integration with reCAPTCHA to showcase forgery techniques. Simulated user interactions to mimic human behavior. Detailed logging and reporting of forgery attempts. Flexible configuration options for testing different attack vectors. Installation To set up the Recapthca Forgery Site, follow these steps:

Clone the repository to your local machine:

bash Copy code git clone https://github.com/Zierax/Recapthca-forgery-site.git Navigate to the project directory:

bash Copy code cd recapthca-forgery-site Install the dependencies:

bash Copy code npm install Configure the environment variables as per your requirements.

Initialize the database schema and seed initial data if necessary.

Start the server:

bash Copy code npm start Usage Once the server is up and running, you can access the Recapthca Forgery Site through your web browser. Here are some key usage instructions:

Navigate to the registration page and create a new account. Log in with your credentials. Explore the different sections of the site to understand how reCAPTCHA forgery works. Experiment with various forgery techniques and observe the system's response. Use the provided logging and reporting features to analyze forgery attempts. Contributing We welcome contributions from the community to improve the Recapthca Forgery Site. If you'd like to contribute, please follow these guidelines:

Fork the repository. Create a new branch for your feature or bug fix. Make your changes and ensure they are well-tested. Submit a pull request detailing the changes you've made. License This project is licensed under the MIT License.