False positive cyber-safety flag on benign software engineering work

Resolved 💬 2 comments Opened Apr 25, 2026 by chrisliu298 Closed Apr 25, 2026
💡 Likely answer: A maintainer (github-actions[bot], contributor) responded on this thread — see the highlighted reply below.

What version of Codex CLI is running?

0.125.0

What subscription do you have?

Pro

Which model were you using?

gpt-5.5

What platform is your computer?

Darwin 25.4.0 arm64 arm

What terminal emulator and version are you using (if applicable)?

Ghostty

What issue are you seeing?

I received a warning banner stating: "Your conversations have multiple flags for possible cybersecurity risk. Responses may take longer." This appears to be a false positive — my usage is standard software engineering work on my own authorized codebase (no security/pentest/exploit-related prompts). After the flag appeared, responses became noticeably slower, likely due to traffic being rerouted to a different model for additional safety checks.

What steps can reproduce the bug?

Uploaded thread: 019dc392-3872-7692-b27e-a36f2cd3d052

  1. Use Codex CLI for normal software engineering tasks (e.g., code editing, refactoring, debugging)
  2. After some number of conversations, the cyber-safety flag banner appears
  3. Responses become slower after the flag is triggered

What is the expected behavior?

Benign software engineering prompts should not trigger the cyber-safety flag. Normal coding tasks (refactoring, debugging, code review) should not be flagged or rerouted, and response latency should remain consistent.

Additional information

This was reported via Codex /feedback as well. The flag seems to be a false positive from the automated cyber-safety classifier. My work involves no cybersecurity-related activity — purely standard software development.

View original on GitHub ↗

2 Comments

github-actions[bot] contributor · 4 months ago

Potential duplicates detected. Please review them and close your issue if it is a duplicate.

  • #19403
  • #19313
  • #19245
  • #19379

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etraut-openai contributor · 4 months ago

Thanks for reporting. This will help us tune our classifier.