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

In the evolving landscape of cybersecurity, accessibility remains a significant hurdle for many small businesses, charitable organizations, and individual practitioners. To bridge this gap, I’m pleased to unveil VulnClarify, an innovative proof-of-concept project developed as part of my final year university work.

VulnClarify leverages the power of large language models (LLMs) to facilitate web security assessments. The tool aims to simplify the vulnerability detection process, making it more approachable for users who may lack extensive technical resources or experience.

Key Features of VulnClarify include:

• Utilizing LLMs to assist in identifying and elucidating web vulnerabilities
• Operable locally or within a Docker container, ensuring easy deployment
• Designed primarily as a research prototype to explore AI’s potential in cybersecurity

Motivation Behind the Project

Traditional vulnerability scanners are often costly and complicated, posing a barrier for smaller organizations. My goal was to investigate how AI can be harnessed to democratize security testing, enabling more entities to understand and improve their web defenses.

How You Can Contribute

• Test the tool using the provided Docker image—no intricate setup required
• Share your feedback on its usability and detection capabilities
• Contribute to the project through GitHub by suggesting improvements or adding new features
• Propose ideas for further AI integrations or use cases within security workflows

A Few Important Notes

• As a proof-of-concept, VulnClarify may contain bugs and incomplete functionalities
• Always ensure you have explicit permission before testing any web applications
• The GitHub repository contains detailed instructions and legal disclaimers—please review them thoroughly

I welcome questions, discussions, and collaboration opportunities related to this project, AI in cybersecurity, or open-source development. Thank you for your interest, and I look forward to your feedback!