Introducing VulnClarify: An Open-Source, AI-Enhanced Web Vulnerability Scanner for Small Organizations and Charities
In today’s digital landscape, cybersecurity is more critical than ever, yet many small organizations and charitable groups lack the resources for comprehensive security assessments. To address this gap, I am pleased to unveil VulnClarify, an innovative proof-of-concept tool that leverages the power of large language models (LLMs) to assist in web vulnerability detection and analysis.
What is VulnClarify?
Developed as part of my final year university project, VulnClarify is an experimental platform designed to demonstrate how artificial intelligence can aid in cybersecurity testing. It offers a streamlined approach to identifying common web vulnerabilities, providing clearer explanations and guidance for users who may not have extensive security expertise.
Key Features:
- AI-Driven Vulnerability Insights: Utilizes large language models to not only detect potential issues but also to generate informative explanations, helping users understand vulnerabilities better.
- User-Friendly Deployment: Can be operated locally or within a contained Docker environment, ensuring easy setup without complex configurations.
- Educational Focus: Serves as a stepping stone towards more accessible security tools, emphasizing learning and awareness over production readiness.
The Motivation Behind VulnClarify
Traditional vulnerability scanners are often costly and complex, creating barriers for smaller organizations seeking to bolster their security. My aim was to explore whether integrating AI could make vulnerability assessment more approachable, affordable, and understandable for those with limited technical resources.
Getting Involved
Interested in trying out VulnClarify? The project is available on GitHub (AndrewCarter04/VulnClarify), with pre-built Docker images that facilitate quick deployment—no deep technical setup required.
Your feedback is highly valued:
– Share your experiences regarding usability and detection accuracy
– Contribute improvements or new features through GitHub pull requests
– Suggest ideas for expanding AI’s role in cybersecurity tools
Important Reminders
- As a proof-of-concept, VulnClarify may contain bugs and incomplete features
- Always perform testing on web applications you own or have explicit permission to analyze
- Consult the repository README for detailed disclaimers and setup instructions
I welcome questions and discussions about this project, the role of AI in security, or open-source development efforts. Thank you for your interest, and I look forward to your insights!
