Vibe App Scanner

Introduction to Vibe App Scanner

Vibe App Scanner (VAS) is an external security scanner designed specifically for applications built with AI. As AI tools like Bolt.new, Lovable, v0.dev, and Cursor make it easier to build apps quickly, they often sacrifice security in the process. VAS addresses this gap by scanning AI-generated apps for vulnerabilities that are common in such environments. It provides a fast, non-invasive way to identify security issues, offering detailed remediation guidance and exportable reports tailored for AI consumption.

The product works by crawling your web application, analyzing its structure, and detecting potential security weaknesses. Once a scan is complete, findings are displayed in a user-friendly dashboard, and results can be exported into markdown files that are compatible with AI tools. All scans are manually reviewed by security professionals to ensure accuracy and relevance. This approach allows developers to detect and fix vulnerabilities before attackers can exploit them, making VAS an essential tool for securing AI-powered applications.

Takeaways

• AI-Focused Security: Designed for apps built with AI tools like Bolt.new, Lovable, v0.dev, and Cursor
• Non-Invasive Scanning: Safe to run on production environments
• Comprehensive Coverage: Scans for secrets, database security, authentication, exposed files, infrastructure, and AI code patterns
• Manual Review: Results are verified by security professionals
• Exportable Reports: Scan results can be exported as markdown files for AI processing
• Flexible Pricing: Offers free checks, full scans, and monthly monitoring plans

How Vibe App Scanner Works

VAS operates by taking a URL input and performing a thorough crawl of the web application. During the scan, it identifies various types of vulnerabilities, including exposed API keys, missing row-level security policies, insecure headers, and public .env files. The scanner also tests for SQL injection and other common security issues. After completing the scan, the results are compiled into a dashboard, where users can view detailed findings along with remediation guidance. These results can then be exported into a markdown file for further analysis or integration with AI tools.

Core Benefits and Applications

VAS is ideal for developers using AI tools to build web applications, especially those working with platforms like Supabase, Firebase, Vercel, and Netlify. It helps ensure that the speed and convenience of AI-driven development do not come at the cost of security.