全部文章
SECURITY·January 12, 2026·阅读约 13 分钟
AI-Generated Code Security: A Practical Checklist
作者：James Okonkwo
The Hidden Risks
AI models are trained on millions of code samples—including insecure ones. Studies show 40% of AI-generated code contains at least one vulnerability.
10-Point Security Checklist
Input Validation
- Check for SQL injection patterns
- Verify XSS sanitization
- Validate file upload handlers
Authentication
- Review session handling
- Check password storage (bcrypt, not MD5)
- Verify JWT implementation
Data Handling
- Audit logging for sensitive data
- Check for hardcoded secrets
- Review error messages for data leakage
Infrastructure
- Verify HTTPS enforcement
Tools That Help
- Snyk: Catches vulnerabilities in dependencies
- Semgrep: Custom rules for AI-generated patterns
- GitHub Advanced Security: Automated scanning
Our Rule
Never deploy AI-generated auth or payment code without human review.
SECOND OPINION · BY VIBE CODING ACADEMY
Your agent says it’s done. What needs checking?
Paste your coding-agent conversation for supported claims, visible problems, and useful next steps. Reviews only the material you provide; no account needed to start.
Review a session