Case Studies

Challenge

The open source ecosystem moves fast. Developers ship code daily, dependencies update constantly, and security vulnerabilities accumulate silently in the background. Most projects with thousands of stars and real production users had never been systematically scanned for vulnerabilities. Teams assumed popular meant secure, but nobody had looked under the hood to see what was actually there.

Solution

We ran comprehensive security scans on 74 vibe-coded repositories shared on X over two weeks. These weren't random projects - each had over 1,000 stars and was actively used in production environments. Using Prismor's automated scanning infrastructure, we analyzed dependencies across the entire modern software stack: NPM, Python, Cargo, and GitHub Actions. The goal was simple: understand what production-grade open source really looks like from a security perspective.

Results

Challenge

Open source repositories across multiple programming languages (Node.js, Java, Go) contained numerous security vulnerabilities ranging from critical to low severity. Traditional manual dependency updates were time-consuming, error-prone, and often introduced breaking changes. Projects needed a systematic approach to identify, fix, and validate security improvements while maintaining application functionality.

Solution

Developed and implemented a comprehensive Open Source Security Analysis Template using Prismor CLI for automated vulnerability scanning combined with AI-assisted remediation through GitHub Copilot. The solution provides multi-language support with automated dependency management, breaking change detection, and comprehensive before/after documentation. Features include direct code modification, functional testing validation, and detailed improvement tracking.

Results

Challenge

Container vulnerabilities in base images often went unnoticed until late in the development cycle, causing expensive post-deployment security incidents. Manual container patching was time-intensive and error-prone, with developers receiving late-night alerts about critical vulnerabilities in production. Traditional security practices failed to shift left effectively, leaving containers vulnerable throughout the CI/CD pipeline.

Solution

Developed an innovative lightweight Container MCP (Model Context Protocol) that integrates directly with VS Code and GitHub Copilot for automated Docker vulnerability scanning and patching. The solution uses Prismor for vulnerability detection, bringing container security directly into the developer workflow before code leaves their machine. Features include real-time vulnerability scanning, automated Dockerfile updates, and IDE integration.

Results