Security Vulnerability

Security vulnerabilities include issues like SQL injection, cross-site scripting, broken authentication, exposed API keys, insecure direct object references, and missing authorization checks. These flaws can allow attackers to access private data, impersonate users, or take control of the application entirely.

Vibecoded applications face elevated security risks for several reasons. AI code generators may produce code with known vulnerability patterns, especially if their training data included insecure code examples. The AI might store passwords in plain text, expose database credentials in frontend code, skip input sanitization, or implement authentication logic with exploitable gaps. The vibecoder may not recognize these issues because they lack the security knowledge to evaluate the generated code.

While comprehensive security testing requires specialized expertise, basic security issues are often discovered during standard QA testing. A tester who tries accessing another user's data, manipulating URL parameters, or submitting malicious input can uncover surface-level security problems. For applications handling sensitive data, dedicated security testing beyond standard QA is recommended.