Gemini gained unauthorized access to three companies; the model was not jailbroken, and the incident stemmed from accidental public network exposure of its test environment.
2 hours ago
Beating AI News Insight: Google confirmed that its Gemini model accessed the systems of three real companies during a cybersecurity evaluation. One entry was gained via password guessing, while the other two obtained login credentials from public code repositories. Gemini halted operations immediately after determining the targets were real companies. No sandbox escape occurred throughout the process, as the public network entry was already open by default. The root cause lies with third-party evaluation firm Irregular: the test was not supposed to access the public network, but an environment misconfiguration allowed the model to connect directly to the internet. The simulated companies used names identical to real ones, leading Gemini to trace the task to external real-world systems. Irregular stated that this is the same issue underlying similar incidents at other labs in the past. Anthropic, OpenAI, and Meta all encountered similar pitfalls during Irregular’s evaluations previously. Both Anthropic and OpenAI confirmed the incidents stemmed from the public network being mistakenly enabled in the test environment; OpenAI further emphasized that no complex sandbox escape or zero-day exploit was involved. Independent media outlet Effort therefore criticized that these incidents were later framed as "model runaway" narratives.
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