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

In today’s digital landscape, web security is more crucial than ever—yet many small businesses, nonprofits, and community organizations find professional vulnerability assessments beyond their reach due to high costs and technical complexity. To address this gap, I am pleased to unveil VulnClarify, a proof-of-concept tool that leverages the power of large language models (LLMs) to assist in web security evaluations.

What is VulnClarify?

VulnClarify is an early-stage, open-source project designed to explore how Artificial Intelligence can support basic web vulnerability assessments. It is intended for deployment in local environments or within a Docker container, allowing users to experiment without extensive setup. While still in development and not suitable for production use, the tool aims to demonstrate the potential of AI-driven security insights.

Core Features

• Integrates LLMs to help identify potential web vulnerabilities and explain security issues in plain language.
• Easy to run locally or via Docker, minimizing technical barriers.
• Serves as a foundation for further development and experimentation with AI in security workflows.

Motivation Behind the Project

Traditional vulnerability scanners can be costly and complex, making them inaccessible to smaller organizations. My goal was to explore whether AI and large language models could democratize security awareness—empowering those who lack dedicated security teams to better understand and address vulnerabilities in their web applications.

How You Can Contribute

• Test VulnClarify using the available Docker image—no complicated setup needed.
• Share your insights regarding usability and detection effectiveness.
• Contribute code improvements, bug fixes, or additional features through GitHub pull requests.
• Suggest new use cases, integrations, or ideas for AI-enhanced security tools.

Important Reminder

Since VulnClarify is a proof-of-concept, expect some bugs and incomplete functionalities. Please conduct testing only on web applications you own or have explicit permission to evaluate. For detailed setup instructions and disclaimers, refer to the project’s GitHub repository.

I welcome questions, feedback, and discussions about the future of AI in cybersecurity and open-source initiatives. Thank you for your interest and support in advancing accessible web security tools.