AI-Powered Security Scan Reveals Vulnerability Patterns in Supabase Codebase
CybersecurityCode AnalysisAI ComplianceOpen SourceOWASPSupabaseSecurity ScanningGemini 2.0AI-Generated CodeVulnerability Assessment
The analysis evaluated the Supabase codebase for OWASP Top 10 risks, supply chain dependency issues, shadow AI patterns, and EU AI Act compliance. AI-generated portions of the code showed twice the incidence of injection-adjacent patterns compared to human-written sections. The project received high scores for maintenance (9/10), security (8/10), documentation (9/10), and innovation (8/10). The tool used for the scan is free and open-source.