AI-Generated Code Risk Scanner
Check AI-written or copied code for leaked secrets and risky patterns
- Runs in your browser
- Secret detection with masking
- Unsafe API patterns
About AI-Generated Code Risk Scanner
Paste code from an AI assistant, a tutorial or a pull request and get a list of likely problems: hard-coded API keys, SQL built from strings, disabled certificate checks, debug settings left on and similar issues. The scan runs in your browser with fixed rules, so the same code always gets the same result, and the code is never executed or uploaded.
What it catches
AI assistants and copied snippets tend to repeat the same mistakes. The scanner checks for these with fixed rules, including:
- API keys, tokens, private keys and passwords written into the code
- SQL queries assembled from strings, raw HTML rendering and dynamic code execution
- Disabled TLS certificate checks, weak randomness and outdated cryptography
- Debug settings, wildcard CORS with credentials and secrets in Docker files
- Leftovers such as mock logins, placeholder credentials and empty catch blocks
How to read a finding
Every finding names the rule, shows the matching line, explains the risk and suggests a fix. Findings are ordered most serious first, and detected secrets are masked on screen. If a real secret was found, rotate it: removing it from the code doesn’t revoke it.
Limits of pattern-based scanning
Rules match patterns, not intent. They can flag safe code that looks risky and miss problems that depend on how the code is used elsewhere. Use the scanner as a quick first pass before human review and your normal security tools.
Further reading
Questions people ask
- Is my code uploaded?
- No. The scan runs in your browser. The code isn’t sent to MemonaIQ or executed.
- Does it use AI to review code?
- No. It uses fixed rules, so the same input always produces the same findings.
- Which languages are supported?
- Most rules look for patterns that are risky in any language, such as hard-coded keys or SQL built from strings, and some apply only to particular formats such as Dockerfiles. The language is detected automatically, and you can set it yourself. Coverage is pattern-based in every language, so treat the results as a first pass.