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

In the ever-evolving landscape of cybersecurity, small organizations and charities often find themselves at a disadvantage due to limited resources and technical expertise. Addressing this gap, I am pleased to unveil VulnClarify, an innovative proof-of-concept project developed during my final year at university.

What is VulnClarify?

VulnClarify is an early-stage tool designed to leverage the power of large language models (LLMs) to assist in web vulnerability detection. By integrating AI capabilities into security scanning, it aims to make basic vulnerability assessments more accessible and understandable for organizations with constrained budgets.

Key Features and Objectives

• AI-Driven Vulnerability Identification: Utilizes LLMs to help identify potential security weaknesses and clarify the nature of discovered vulnerabilities.
• Flexible Deployment: Can be run locally or within a secure Docker environment, simplifying setup and usage without requiring complex infrastructure.
• Research and Exploration: As a proof of concept, it’s intended to explore how artificial intelligence can augment traditional security tools to democratize cybersecurity knowledge.

Motivation Behind the Project

Traditional vulnerability scanners, while powerful, tend to be costly and complex, often placing them out of reach for smaller organizations. My goal with VulnClarify is to explore how AI and large language models could lower this barrier, enabling more organizations to perform meaningful security assessments and foster a culture of proactive defense.

How You Can Contribute

• Try It Out: Use the provided Docker image for quick and easy testing without elaborate configurations.
• Share Feedback: Your insights on its usability and accuracy are invaluable for future development.
• Help Improve the Tool: Contribute code enhancements, bug fixes, or propose new features through GitHub pull requests.
• Suggest New Applications: Share ideas on how AI can further assist in security evaluations or other domains.

Important Considerations

• This is an experimental prototype; functionalities may be incomplete or contain bugs.
• Always ensure you have explicit permission before testing any web application.
• Full disclaimers, setup instructions, and usage notes are available in the project’s repository README.

I welcome questions, discussions, and collaboration ideas related to AI-driven security tools and open-source projects. Thank you for your interest and support in advancing accessible cybersecurity solutions.

Explore the project on GitHub: [AndrewCarter04/VulnClar