Project 3 - Personal

Project: Automated Security Testing Tool

Overview:

The Automated Security Testing Tool is a Python-based application designed to automate the process of testing web applications for common security vulnerabilities. It leverages machine learning techniques and web scraping to identify vulnerabilities such as SQL injection, cross-site scripting (XSS), file upload vulnerabilities, and more.

Features:

• Automated Vulnerability Testing: The tool automatically tests web applications for various security vulnerabilities, including SQL injection, XSS, command injection, directory traversal, file upload vulnerabilities, and more.
• Machine Learning Integration: Machine learning algorithms are used to adapt payloads and improve the accuracy of vulnerability detection over time.
• Real-Time Learning: The tool supports real-time learning by retraining the machine learning model based on new data collected during testing.
• Extensive Payload Sets: Includes enhanced payload sets for different types of vulnerabilities, ensuring comprehensive testing coverage.
• Customizable Testing: Users can customize the testing process by providing their own payloads or configuring testing parameters.
• Portable Environment: Utilizes Python virtual environments to create a portable and isolated environment, making it easy to run the tool on different systems without the need to download modules repeatedly.

Technologies Used:

• Python: The core programming language used to develop the application.
• Selenium: Used for web scraping and automated interaction with web browsers.
• Requests: Used for making HTTP requests and handling responses.
• Machine Learning Libraries: Utilized for implementing machine learning algorithms for payload adaptation and vulnerability detection.
• Virtual Environments: Leveraged to create isolated environments for running the application without affecting system-wide Python installations.