VQV Signal

SECURITY WATCH TECHNICAL

Codex GitHub workflow prompt injection could have backdoored @openai/codex; reportedly fixed

According to a post on X by @julianor, security firm Depi showed that OpenAI Codex's issue-labeling GitHub Actions workflow passed attacker-written issue text to the Codex agent. The reported path included escaping the sandbox, leaking GitHub tokens and poisoning the Actions cache to reach a workflow that could publish a malicious release of the official @openai/codex npm package. Reports say OpenAI fixed the issue and that no malicious npm release was reported. The source snippet is truncated, so other details are not covered here.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-11T18:20:00+00:00 Detected 2026-11-12T10:17:20+00:00
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According to a post on X by @julianor, security firm Depi showed that OpenAI Codex's issue-labeling GitHub Actions workflow passed attacker-written issue text to the Codex agent. The reported path included escaping the sandbox, leaking GitHub tokens and poisoning the Actions cache to reach a workflow that could publish a malicious release of the official @openai/codex npm package. Reports say OpenAI fixed the issue and that no malicious npm release was reported. The source snippet is truncated, so other details are not covered here.

AI-assisted summary based on the listed source.

Security firm Depi showed that Codex’s issue-labeling GitHub Actions workflow fed attacker-written issue text to the Codex agent, then escaped its sandbox, leaked GitHub tokens and poisoned the Actions cache to reach a workflow that could publish a malicious release. Reports say OpenAI fixed it and no malicious...

Teams that let AI agents act on untrusted input, such as public issue text in CI pipelines, face a concrete example of how that input can reach credentials and release workflows. Maintainers should review which tokens, caches and publish steps their agents can access. Watch for further details on the fix from OpenAI or Depi.

Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.

Signal Strength 95% Technical label WATCH Public Interest 52 Category SECURITY Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 90 Practical Impact Score 0 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 16 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).