GitHub Copilot, Cursor, ChatGPT, and other LLMs hallucinate insecure patterns, copy from vulnerable training data, and generate code with insecure defaults. AquilaX Vibe Code Scanner is purpose-built to catch what AI assistants introduce — automatically, on every commit.
LLMs are trained on public code — which includes millions of vulnerable examples. They generate plausible-looking code that contains real security flaws. AquilaX catches all of them.
LLMs generate code that looks correct but uses non-existent security functions, bypassed validation logic, or imagined APIs that don't behave as expected — creating silent vulnerabilities.
JWT algorithm confusion (alg:none), disabled SSL verification, permissive CORS (*), disabled CSRF protection, and debug mode left enabled — classic LLM mistakes in generated boilerplate.
LLMs reproduce code from Stack Overflow answers, deprecated tutorials, and CVE-vulnerable examples verbatim — including the security flaws that were never fixed in the source.
AI assistants frequently suggest hardcoded API keys, passwords, and test credentials as "placeholder examples" — which developers commit directly without review.
AI-generated serialization code frequently uses pickle, eval, or exec with unsanitised input — patterns that appear in LLM training data but violate basic security principles.
Vibe Code Scanner identifies code with high AI-generation probability — flagging entire functions for enhanced security scrutiny, even when no specific vulnerability is immediately detected.
Vibe Code Scanner combines AI origin detection with deep vulnerability analysis — built specifically for the patterns that LLMs introduce.
Vibe Code Scanner is part of the AquilaX Ultimate plan — with a free 14-day trial. No credit card required.