A custom vulnerability scanning tool that automates the process of identifying security weaknesses in web applications.
The Automated Vulnerability Scanner is a sophisticated tool designed to identify security vulnerabilities in web applications. It combines multiple scanning techniques to detect common security issues such as SQL injection, cross-site scripting (XSS), broken authentication, and other OWASP Top 10 vulnerabilities.
This project was developed to address the growing need for automated security testing in the software development lifecycle. By integrating this scanner into CI/CD pipelines, development teams can identify and fix security issues early in the development process, significantly reducing the risk of security breaches in production environments.
- Automated scanning of web pages
- Detection of XSS, SQL Injection, and other common vulnerabilities
- Interactive dashboard for vulnerability reports
- Python
- Requests / BeautifulSoup
- Dash / Streamlit for UI Python 3.9+ • Beautiful Soup (HTML parsing) • Requests (HTTP client) • SQLAlchemy (Database ORM) • Flask (API and dashboard)
pip install -r requirements.txt
python scanner.pyInteractive reporting dashboard built with Streamlit.
The Automated Vulnerability Scanner is under continuous development with the following planned enhancements: •Implementation of a headless browser engine to better handle JavaScript-heavy applications •Integration with threat intelligence feeds to detect emerging vulnerability patterns •Development of machine learning models to reduce false positives and improve detection accuracy • Added API security testing capabilities for REST and GraphQL endpoints
- Use responsibly and only on systems you own or have permission to test.