AI Security vs SAST: SecureVibes Finds 30 Vulns, Semgrep Finds 7
Автор: AI Security Engineer
Загружено: 2025-10-30
Просмотров: 275
Traditional SAST tools like Semgrep miss critical vulnerabilities in vibe coded applications. SecureVibes uses multi-agent AI with Claude Agents SDK to find IDOR, authorization bugs, and business logic issues that static analysis can't detect.
In this demo: I compare Semgrep with SecureVibes head to head on a vulnerable application written in Python.
The result?
Semgrep finds 7 vulns
SecureVibes finds 30 vulns
⏱️ TIMESTAMPS
0:00 Why Vibe Coded Apps Need AI Security
1:25 Demo: Vulnerable Flask Application Setup
3:10 Discovering IDOR Vulnerability Manually
4:27 Running Semgrep Analysis
4:44 Semgrep Results: 7 Findings (Misses IDOR)
5:15 Verifying IDOR Exists in Code
6:38 Installing & Running SecureVibes
7:24 Phase 1: Architecture Assessment
10:07 Phase 2: STRIDE Threat Modeling
11:43 Phase 3: AI Code Review
12:53 Phase 4: Report Generation
14:00 Results: 30 Vulnerabilities Found
15:40 Architecture: Multi-Agent Pipeline
17:30 Why AI Native Security Matters
🔗 RESOURCES
• SecureVibes GitHub: https://github.com/anshumanbh/securev...
• Vulnerable App Demo: https://github.com/anshumanbh/vulnapp
• Blog Post: https://www.anshumanbhartiya.com/post...
• Claude Agents SDK: https://github.com/anthropics/anthrop...
• Install: pip install securevibes
💬 Try SecureVibes on your vibe coded apps! Drop questions below ⬇️
#VibeCoding #AISecurity #SecureVibes #SAST #ClaudeAgents
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