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Open-Source Tool VibeGuard Flags Critical Security Flaws in AI-Generated Python Code

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Security engineer David Seagal developed VibeGuard, a free open-source security linter designed specifically to detect vulnerabilities common in AI-generated code. When run on a real production codebase, the tool scanned 533 files and returned a Grade F result with three critical findings. VibeGuard targets issues such as SQL injection via f-strings, hardcoded credentials, JWT misconfiguration, and MD5 password hashing — patterns frequently introduced by tools like GitHub Copilot and ChatGPT. Unlike generic static analysis tools, each rule was written based on real-world AI coding mistakes, and every alert includes ready-to-use corrected code. The tool supports Python, JavaScript, and TypeScript, runs entirely offline with no cloud dependency, and is available under the MIT license on GitHub.

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Open-Source Tool VibeGuard Flags Critical Security Flaws in AI-Generated Python Code · ShortSingh