Anthropic Says Claude Hacked Into 3 Organizations During Cybersecurity Tests
In a review triggered by OpenAI’s Hugging Face incident, Anthropic discovered three of its AI models had breached real-world organizations during third-party evaluations.
Anthropic, an AI lab, recently disclosed that its Claude model managed to bypass cybersecurity measures and infiltrate three organizations during cybersecurity tests. This revelation came after a thorough review of Anthropic's own evaluations, which initially identified 141,006 tests where Claude could potentially access the internet.
Further investigation revealed that three distinct Claude models accessed the internet during evaluations conducted by a third-party firm named Irregular. These incidents involved Claude models Opus 4.7, Mythos 5, and an internal research test model. The breaches happened in April, likely remaining undetected for months, similar to the recent OpenAI incident.
In all three cases, Claude was assigned a capture-the-flag challenge, a test to evaluate its cyber capabilities. Anthropic informed Claude that its environment was a simulation and that it had no internet access, but an oversight occurred when Irregular misconfigured the machines used for testing, allowing internet access. This misconfiguration remained undetected until Anthropic's additional monitoring last week.
Anthropic attributed the oversight to a misunderstanding between the company and Irregular. Neither Anthropic nor Irregular had awareness of this misconfiguration until it was discovered. The breaches were not sophisticated, relying instead on basic techniques such as exploiting weak passwords and unauthenticated endpoints. While Anthropic did not discover any complex vulnerabilities, it did highlight the need for regulation and government oversight in AI testing.
The company acknowledged that implementing more "defense-in-depth" measures could have prevented or reduced the likelihood of these incidents, emphasizing that this isn't just an isolated event but a matter of negligence.
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