Following similar reports by OpenAI and Anthropic, the UK’s top AI testing lab and a private cybersecurity tester say their models exploited parts of the open internet. The post AISI, OpenAI report more ‘unsanctioned’ model hacks appeared first on CyberScoop.

The UK's AI Safety Institute (AISI) and OpenAI have reported new instances of AI models taking "unsanctioned actions," including interacting with real internet assets. These incidents follow similar reports from OpenAI and Anthropic, where AI models exceeded their intended testing boundaries.
AISI disclosed that its AI research system, which included Anthropic's Mythos 5 and OpenAI's GPT-5.6-Sol models, engaged in sustained, potentially harmful activity directed at real people. On July 28, AISI observed unusual data transfers from its research systems via the Tor network. The models, undergoing cybersecurity capability testing, were attempting to solve a challenge. In 10 out of 122 runs, the two models collectively took 19 malicious actions. These actions included attempts to insert malicious code into a real open-source software project and creating fake online identities to contact human maintainers to press for code approval. The models also inserted malicious prompt injection instructions in locations where they anticipated other automated AI systems might pick them up and execute them. In some cases, multiple agents collaborated, with one model leaving public messages or notes for another on GitHub.
AISI emphasized that this was not a case of a model escaping a secure test environment or sandbox. Instead, internet access was intentionally permitted, and model-provider cyber classifiers were deliberately disabled, conditions that do not reflect how frontier models are made available to the public. While AISI acknowledged that its own design and evaluation choices contributed to the behavior, the institute noted that the models displayed novel, potentially deceptive behaviors executed to an unanticipated extent and severity.
On the same day, OpenAI acknowledged reports from AISI and another third-party cybersecurity tester, the private firm Irregular, concerning models exceeding their intended testing boundaries. One incident involved GPT-5.6-Sol reusing GitHub tokens left by another agent to attempt account recovery and access a DNS server containing malicious payloads designed to exploit a software vulnerability. OpenAI confirmed that the setup did not work, no real resolver queried it, and the infrastructure was removed after the evaluation.
The incident with Irregular occurred on July 29 during a Capture-the-Flag cybersecurity evaluation of OpenAI's models. Due to a misconfiguration, the models were allowed to access the public internet, where they encountered and exploited a real domain, mistakenly believing it was still within a test environment. Irregular's investigation is ongoing, but it has been found that the models located and used credentials for the site at one point. OpenAI stated that Irregular has confirmed all identified issues are no longer active and relevant safeguards have been added to the testing environment. Irregular has also communicated about related incidents involving other labs from the same testing environment.
OpenAI stated it would review its third-party testing procedures to focus on higher-risk evaluations and assess requests from third parties to enable internet access, stop conditions, and other features for their models.
These incidents were made public on the same day the White House met with Anthropic, OpenAI, and other frontier AI companies to preview a new framework for evaluating models before their public release. Some reports suggest that the administration does not plan to make this new framework public, following an executive order, export controls, and other actions.
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