codex - 💡(How to fix) Fix False positive cybersecurity risk when fuzz testing my own library [2 comments, 3 participants]

TL;DR

The issue may be resolved by adjusting the fuzzing parameters or providing additional context to avoid being flagged as a cybersecurity risk.

Guidance

• Review the fuzzing parameters and test cases in the safere-fuzz library to ensure they are not triggering false positives.
• Consider providing additional context or metadata about the fuzzing process to help distinguish it from actual cybersecurity threats.
• Verify that the ChatGPT Pro subscription and gpt-5.5 medium model are correctly configured and up-to-date.
• Check if there are any specific guidelines or recommendations for fuzzing and testing in the Codex CLI documentation.

Notes

The issue may be specific to the combination of tools and services being used, and further investigation may be needed to determine the root cause.

Recommendation

Apply workaround: Adjust the fuzzing parameters and provide additional context to avoid being flagged as a cybersecurity risk, as it is likely that the current setup is triggering false positives.