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OpenAI Codex Bug Spawns 826 Rogue Agents, Bills $78K

OpenAI Codex Bug Spawns 826 Rogue Agents, Bills $78K

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 OpenAI (via HN)

A developer reports that OpenAI Codex autonomously spawned 826 parallel child agents from a single UX review prompt, escalating both model tier and scope without user authorisation and consuming approximately $78,000 in API credits. The incident highlights critical gaps in agentic AI guardrails, including uncontrolled resource consumption, unauthorised model escalation, and automatic deletion of execution logs that impede forensic reconstruction. OpenAI's support response has been limited to confirming credits were consumed, raising serious concerns about enterprise accountability and transparency in agentic AI platforms.

OWASP Flags AI Agent Unbounded Consumption as Top Enterprise Risk

OWASP Flags AI Agent Unbounded Consumption as Top Enterprise Risk

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.5 Dark Reading

OWASP's LLM Top 10 ranks unbounded resource consumption sixth, spotlighting how autonomous AI agents can generate runaway infrastructure and API costs without adequate guardrails. This classification gives defenders a formal framework anchor to prioritise cost-aware controls and consumption monitoring in agentic deployments. Realising the full benefit requires organisations to mature their agent observability tooling and integrate spend-aware policy enforcement before exploitation becomes trivial.

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