The fix: Set CORS to specific domains your frontend uses. For example, if your frontend is on yourapp.com, set CORS to allow only yourapp.com and your local development domains. Never use * in production.
How Debuggix catches it: ESLint and Semgrep flag CORS headers set to *. The AI filter checks whether the project is explicitly documented as a public API intended for cross-origin access.
Pattern Five: Unpinned Dependency Versions
The finding: package.json and requirements.txt files using version ranges like ^1.2.3 or >=2.0.0.
Why it happens: The AI generates version ranges because they are common in public repositories. The developer does not change them.
The risk: A future npm install might pull a newer version of a dependency than the developer tested. If that newer version contains a vulnerability or breaking change, the application breaks or becomes compromised without any code change from the developer.
The fix: Pin dependency versions. Use exact version numbers without caret or tilde prefixes. Use lock files (package-lock.json, yarn.lock) and commit them to your repository.
How Debuggix catches it: OSV-Scanner and Trivy check for unpinned dependencies and report them as configuration issues. The AI filter prioritizes findings in production dependencies over development dependencies.
The Common Thread
The AI is not malicious. It is not careless. It is a pattern matcher trained on millions of public repositories.
The problem is that most public repositories contain these security gaps. The AI learned from them. Now it reproduces them.
The solution is not to stop using AI coding tools. The solution is to add automated security review to the workflow. The AI writes the code. A scanner checks the code. The developer reviews only what the scanner flags.
How Debuggix Approaches AI-Generated Code
Debuggix runs 9 security engines across every scanned repository. For AI-generated code, the most valuable engines are:
- Gitleaks and TruffleHog for hardcoded secrets
- ESLint with security plugins for input validation and CORS misconfigurations
- Semgrep for custom rules that catch Firebase exposure patterns
- OSV-Scanner for dependency version pinning issues
The AI filter reads the project's documentation to understand context. If the documentation says "this is a development environment," the filter adjusts expectations accordingly. If the documentation says "this Firebase configuration is intentionally public," the filter respects that.
The result is a report showing only real issues, not every possible finding.
Debuggix is free for open source repositories. Paid plans for private repos start at 29γγ« per month.
Try it: debuggix.space