Introducing VulnClarify: An Open-Source AI-Enhanced Web Vulnerability Scanner for Small Organizations and Charities

In the evolving landscape of cybersecurity, accessibility remains a key challenge—especially for small businesses, nonprofits, and individual practitioners who often lack the resources for comprehensive security assessments. Addressing this gap, I am pleased to unveil VulnClarify, a pioneering proof-of-concept tool that leverages the power of large language models (LLMs) to facilitate basic web vulnerability detection and clarification.

What is VulnClarify?

VulnClarify is an innovative project developed during my final year at university, now available as an open-source initiative on GitHub (see AndrewCarter04/VulnClarify). The tool integrates cutting-edge AI technology to assist in identifying, understanding, and explaining common web security issues. Designed for ease of use, it runs locally or within a Docker environment, eliminating the need for complex setups.

Key Features:

• AI-Powered Vulnerability Insights: Utilizes large language models to help detect web security flaws and provide clear explanations.
• Lightweight and Portable: Can be deployed locally or via Docker, making it accessible even for those with limited technical infrastructure.
• Educational Focus: Aims to empower small teams and individuals to better understand their web security posture without expensive tools.

Why Develop VulnClarify?

Traditional vulnerability scanners are often costly, intricate, and intimidating for non-specialists. My goal with this project was to explore how artificial intelligence, particularly LLMs, could serve as a democratizing force—lowering barriers and enabling smaller organizations to take proactive security measures.

Getting Involved

Your participation can make a difference:

• Test the Tool: Use the provided Docker image for quick deployment—no complicated setups required.
• Share Feedback: Help improve the tool’s detection capabilities and user experience.
• Contribute: Submit pull requests with code enhancements, bug fixes, or new features on GitHub.
• Suggest Use Cases: Offer ideas on how AI can further streamline security testing or integrate with existing workflows.

Important Considerations

Please remember that VulnClarify is still in its early stages—it’s a proof-of-concept with potential bugs and incomplete features. Always conduct security testing on web applications you own or have explicit permission to assess. For detailed setup instructions and disclaimers,