Introducing VulnClarify: An Open-Source, AI-Powered Web Vulnerability Scanner for Small Organizations and Charitable Initiatives

In the evolving landscape of cybersecurity, accessible and effective tools are essential—especially for smaller organizations, charities, and individual users who often lack the resources to perform comprehensive security assessments. Today, I’m pleased to unveil VulnClarify, an innovative proof-of-concept project developed as part of my final year university work.

What is VulnClarify?

VulnClarify is an early-stage, open-source tool designed to leverage the power of large language models (LLMs) to assist in web vulnerability detection. By integrating AI into security workflows, this project aims to make vulnerability identification more intuitive and approachable, even for teams with limited technical expertise. The tool can be deployed locally or within a Docker container, facilitating easy testing without complex setup requirements.

Core Features:

• Utilizes advanced LLMs to analyze and interpret potential web security issues
• Facilitates straightforward deployment through pre-configured Docker images
• Serves as a foundational framework to explore AI’s role in cybersecurity assessments

Motivation Behind the Project

Traditional vulnerability scanners, while powerful, tend to be costly and intricate to operate. Recognizing these barriers, I envisioned a solution that democratizes access to security tools by harnessing AI’s capabilities. The objective was to create an experimental platform that demonstrates how language models can support small organizations in understanding and addressing web vulnerabilities, ultimately fostering a more secure online environment for all.

How You Can Contribute

• Try Out the Tool: Use the ready-made Docker image to test VulnClarify on your own web applications—no complicated installation required.
• Share Your Feedback: Help improve the tool by providing insights on usability, detection accuracy, and overall performance.
• Collaborate: Contribute code enhancements, bug fixes, or new features via GitHub pull requests.
• Suggest New Use Cases: Propose additional ways AI can be integrated into security tools or workflows.

Important Considerations

• As a proof-of-concept, VulnClarify is still in the experimental stage—expect some bugs or missing features.
• Please only run scans on websites you own or have explicit permission to test.
• Refer to the project’s GitHub repository for detailed setup instructions, disclaimers, and licensing information.

Join the Conversation

I’m eager to discuss the potential of AI in cybersecurity, open-source development