CloudFlare developed an OAuth library using Anthropic's Claude LLM, but the AI-generated code had several security and compliance issues that required thorough human review.
The code had inadequate testing for a critical authentication service, lacking extensive security checks and abuse case testing.
Some suspicious and potentially insecure implementations in code included improper CORS header settings and lack of standard security headers.
There were mistakes in implementing deprecated OAuth grant types and incorrect use of Basic auth, indicative of unfamiliarity with OAuth specs.
Token ID generation in the code was flawed, showing bias that reduced entropy, highlighting the need for careful human oversight of AI-generated code.
Encryption implementation by human engineers was well-designed, showing the importance of experience in guiding AI-generated outputs.
The blog emphasizes the need for experienced oversight in using AI for security-sensitive coding, as LLMs make common mistakes that require experienced intervention.
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