False positive cyber-abuse classification during personal job-application workflow

What version of the Codex App are you using (From “About Codex” dialog)?

codex-cli (vscode extension): 0.142.5
Date observed: 2026-07-03.

What subscription do you have?

Pro

What platform is your computer?

Linux 7.0.14-arch1-1 x86_64

What issue are you seeing?

I received a cyber-abuse-style account warning during a benign job-application workflow (scan job posts -> tailor docs -> draft outreach), and subsequent Codex actions were blocked.

Observed behavior:

• Workflows include web page access and document/tool automation for personal job-referral preparation.
• No harmful content was generated, and no policy-violating payloads were intentionally sent.
• The session was interrupted with a warning and safety block.
• The account-level block affected productivity and provided little actionable reason.

If available, paste full error text:

<img width="1131" height="999" alt="Image" src="https://github.com/user-attachments/assets/07e4a5e6-9445-47b2-9359-1b26d65d2ea9" />

What steps can reproduce the bug?

1. Run a benign, benignly automated Codex workflow for public hosted jobs processing and draft creation.
2. Open external job-related pages and generate outbound draft content using the same session.
3. Repeat over multiple iterations in one session.
4. Trigger: Codex indicates a cyber-abuse / safety block.

Please include if available:

• Not Applicable

What is the expected behavior?

• Benign developer workflows should either proceed or explicitly ask for escalation before strict enforcement.
• The warning should include a concrete reason and minimal reproducible cause.
• Block scope should be thread/session-scoped when possible, not account-wide.
• Provide a clear recoverable path and a recovery/appeal hint without forcing user churn.

Additional information

• Similar issues are already being discussed:
• https://github.com/openai/codex/issues/20124
• https://github.com/openai/codex/issues/19403
• https://github.com/openai/codex/issues/19324
• https://github.com/openai/codex/issues/19204

Impact:

• Blocks normal, non-malicious job-application automation in a recurring workflow.
• Adds manual overhead and reduces conversion speed for time-sensitive referrals.

Suggested fix:

• Improve safety observability so users can see why a warning is raised.
• Add recoverable action path for verified false positives.