Introducing VulnClarify: An Open-Source, AI-Enhanced Web Vulnerability Scanner for Small Organizations and Charitable Entities
In today’s digital landscape, ensuring web security remains a critical yet often resource-intensive task—especially for small businesses, nonprofits, and community organizations. Recognizing this challenge, I am pleased to introduce VulnClarify, a proof-of-concept project developed as part of my final year university coursework, now available to the public.
What is VulnClarify?
VulnClarify is an innovative web vulnerability scanner that leverages the power of large language models (LLMs) to assist in identifying and understanding security weaknesses in web applications. Designed to be accessible and easy to deploy, this tool aims to lower the barriers that smaller organizations face when it comes to basic security assessment.
Key Features:
- Utilizes advanced AI to help interpret and clarify potential vulnerabilities found during scans
- Can be run locally or within a Docker container, ensuring a safe and isolated environment
- Serves as a research prototype to explore the integration of artificial intelligence into security workflows
Motivation Behind the Project:
Traditional vulnerability scanners, while effective, can be prohibitively costly and complex to operate for organizations with limited internal expertise. My goal with VulnClarify was to investigate how AI-driven solutions could democratize security testing, making foundational assessments more approachable and understandable for non-experts.
How You Can Contribute:
- Test out VulnClarify using the ready-made Docker image—setting it up is straightforward without complex configurations
- Share your experiences regarding usability and detection capabilities
- Contribute to the project through GitHub by submitting feature suggestions, bug fixes, or improvements
- Propose new ideas for applying AI within security tools or extending VulnClarify’s functionality
Important Considerations:
- As a prototype, VulnClarify may contain bugs or incomplete features; your feedback is valuable for future development
- Ensure that testing is conducted only on web applications you own or have explicit permission to assess
- For detailed instructions and important disclaimers, please refer to the project’s GitHub repository README
I welcome questions and discussions on AI’s role in cybersecurity, open-source development, or the future of accessible security tools. Thank you for exploring VulnClarify and supporting efforts to make web security more inclusive.
