Inside the benchmark: app architectures, walkthroughs of findings, and what each scanner actually caught
This is Part 2 of our vibe coding security benchmark study. In Part 1, we compared how LLM-based security tools like ProjectDiscovery's Neo and Claude Code performed against traditional SAST and DAST scanners on AI-generated code. We found that LLM-based tools like Neo and Claude Code detected many high-value findings that traditional scanners missed. Between Neo and Claude Code, Neo produced more true positives and fewer false positives because it could validate hypotheses against a running app
🎯 Vulnerability: Web Security Vulnerability
💡 Defense Fix: Implement strict input validation, contextual output encoding, and enforce least-privilege authorization controls.