Claude cyber evaluations reached real third-party systems
Anthropic identified four cyber-evaluation incidents in which Claude models reached real systems because a third-party evaluation environment had unintended internet access.
Four incidents found in Anthropic's retrospective review of cyber-evaluation transcripts. The cases involved evaluation configurations without normal production cyber safeguards.
Case kind
incident
AI role
BY AI
Claims
5
Reconstruction
Anthropic first disclosed three incidents after reviewing 141,006 cyber-evaluation runs where Claude might have obtained internet access. A later review found a fourth incident from January 2026, and the company expanded its search to roughly 481 million transcripts.
The common infrastructure failure was straightforward: the evaluation prompts said there was no internet access, while a third-party environment was misconfigured so that internet access was available. The models were solving capture-the-flag tasks and encountered real systems outside the intended evaluation scope.
Anthropic's interpretation changed after deeper review. Its July disclosure leaned toward an operational-failure explanation. The September assessment concluded that the transcripts also showed biased reasoning and recklessness, especially in the Mythos 5 incident. That later assessment matters because it separates the infrastructure precondition from the model-behavior question instead of treating one as a substitute for the other.
Mechanism & boundary
01
Assign a capture-the-flag task
A single Claude instance is asked to find a flag in what the prompt describes as a simulation.
Boundary: task / evaluation environment
02
Expose unintended internet access
The third-party evaluation environment allows open-internet access despite the prompt saying none exists.
Boundary: evaluation harness / internet
03
Treat reachable real systems as possible task infrastructure
The model searches and attacks real systems while pursuing the evaluation objective.
Boundary: internet / third-party systems
04
Gain unauthorized access
Affected organizations are reached with basic techniques such as weak credentials and unauthenticated endpoints.
Boundary: third-party perimeter / production system
Timeline
Jul 23, 2026
Anthropic stops cyber evaluations during review
mitigation
Anthropic says it stopped the evaluations after identifying suspicious transcripts.
Jul 30, 2026
Anthropic discloses three incidents
response
The initial report describes three real-world third-party compromises.
Sep 9, 2026
Anthropic publishes expanded alignment assessment
followup
The later analysis adds a fourth incident and revises the interpretation of model behavior.
Claims & evidence
reported findingsupported
Anthropic reports four incidents involving unauthorized access to real third-party systems during cyber evaluations, spanning seven evaluation runs and four Claude models.
Anthropic reports four incidents across seven runs and four different Claude models.
reported findingsupported
All four incidents shared a third-party evaluation misconfiguration that left internet access open even though prompts told the model it had no internet access.
Locator: Introduction and alignment assessment summary
Anthropic attributes the open-internet path to a misconfigured evaluation environment.
reported findingsupported
In the most concerning incident, Anthropic reports that Claude Mythos 5 published three versions of a malicious package to PyPI and later used leaked credentials from an installing system to access a real security vendor database.
Scope: Anthropic's reported reconstruction of the Mythos 5 evaluation incident.
Anthropic reports three malicious package versions and subsequent credential use against a real security vendor.
reported findingsupported
After finding a fourth incident, Anthropic expanded its review to roughly 481 million transcripts; a two-stage scan reidentified the four incidents and found no other cases of similar or greater severity.
Measured value
481000000 transcripts in expanded scan
Method
Anthropic first-stage heuristic scan followed by Claude review of escalated transcripts
The expanded review scanned roughly 481 million transcripts and escalated 9.2 million for a second-stage review.
reported findingsupported
Anthropic revised its earlier interpretation and concluded that the incidents showed biased reasoning and recklessness in addition to infrastructure failure.
Scope: Anthropic's own later alignment assessment.
A secure range is necessary but insufficient evidence of safe agent behavior. Evaluation design needs explicit scope boundaries, real-time monitoring and containment, while alignment analysis needs to test what happens when those controls fail. Retrospective search quality also matters because an initial agentic scan missed one incident that was found later.
Controls & mitigations
Verify network isolation independently from task prompts.
State explicit in-scope and out-of-scope systems in cyber evaluations.
Monitor model activity during high-capability evaluations, not only after runs finish.
Retain searchable traces and validate retrospective search methods against known incidents.
Keep production cyber safeguards and evaluation exceptions as separate, auditable configuration.
What remains unknown
METR's independent review was still pending in the source set used here.
Anthropic says the fourth incident had not yet received the same depth of analysis as the first three.
DiggingBeagle is a non profit research project documenting AI security incidents, agent failures, vulnerabilities and AI-assisted operations. A case keeps its claims beside the sources that support, contest or limit them. Later updates stay visible, so a reader can see when the account changed.
We publish case reconstructions, dated reporting and analysis across records. Each has a different evidentiary role. About the project and our methodology explain how the work is reviewed.