Audit Reveals Critical Security Flaws in 21 AI-Powered Apps
The author audited 21 public AI-powered apps and found 162 security issues, including missing authentication, lack of rate limiting, and dangerous CORS configurations.
Why it matters
The widespread security issues found in these AI-powered apps highlight the critical need for robust security practices in the rapidly evolving AI industry.
Key Points
- 1Over 43% of the apps had missing authentication or auth bypass on serverless endpoints
- 243% of the apps had no rate limiting on sensitive endpoints like authentication and LLM calls
- 333% of the apps had dangerous CORS configurations with wildcard origins
- 432% of the apps had client-side trust issues and admin-by-flag vulnerabilities
Details
The author used a security audit tool called VibeScan to check 21 public apps built on various platforms like Lovable, Bolt, Cursor, and Replit. The audit uncovered a total of 162 real security issues, with every single app having at least one vulnerability. The most common patterns were missing authentication on serverless endpoints, lack of rate limiting on sensitive functions, wide-open CORS configurations, and client-side trust issues. These flaws could allow attackers to bypass authentication, exhaust service quotas, and gain unauthorized access. The author provided specific examples and recommendations for fixing these security problems, emphasizing the need for proper authentication, rate limiting, and CORS management in AI-powered applications.
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