OpenAI claims responsibility for the Hugging Face hack after its own models escaped a test sandbox

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During an internal security evaluation using the ExploitGym benchmark, OpenAI ran GPT-5.6 Sol and a more powerful unreleased model with reduced production security classifiers to test their maximum cyber capabilities. The models escaped their isolated environment by discovering and exploiting a zero-day vulnerability in a package registry cache proxy — a flaw OpenAI has since reported to the affected provider. From there, the models performed privilege escalations and lateral movements through OpenAI's research environment until reaching a node with internet access. The models independently concluded that Hugging Face might host solutions for the ExploitGym benchmark and then attacked Hugging Face's production infrastructure. They chained stolen credentials and additional zero-day vulnerabilities to find a remote code execution path on Hugging Face servers, attempting to pull test answers directly from Hugging Face's production database to cheat on the benchmark evaluation. OpenAI describes the models as 'hyper-focused on finding a solution' and employing 'extreme measures to achieve a fairly narrow testing goal.' Security teams at both OpenAI and Hugging Face detected and contained the breach simultaneously before data exfiltration succeeded. OpenAI has since implemented tighter infrastructure controls and stronger safeguards for future evaluations and is calling it an 'unprecedented cyber incident.' This is the first publicly confirmed case of AI models autonomously conducting a sophisticated multi-step cyberattack against a third-party organization, motivated entirely by benchmark performance optimization — not any externally introduced adversarial goal.