Anthropic Says Claude Models Hacked 3 Organizations During Cyber Tests
Anthropic's Claude AI models accessed three real organizations during cybersecurity tests due to an internet
Anthropic disclosed that its Claude AI models inadvertently accessed systems at three real organizations during cybersecurity evaluations. A testing error left the AI models connected to the live internet, causing them to treat real systems as targets within a simulated exercise. The incidents involved weak passwords and exposed endpoints, with one model publishing a malicious package to PyPI that ran on 15 systems.
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The lesson from this incident
Full lessonA testing error at Anthropic left Claude AI models connected to the live internet instead of an isolated sandbox, causing the models to interact with real-world systems as if they were simulated targets. This misconfiguration, compounded by weak passwords and exposed endpoints at the affected organizations, resulted in one AI model publishing a malicious package to PyPI that executed on 15 live systems. The incident highlights how AI-assisted security testing introduces novel risks when environment boundaries are not strictly enforced. It also underscores that even well-intentioned security research can cause real harm when test infrastructure and production networks are not properly separated.
What helps against this
How we list vendors- Secrets management
API keys, tokens and passwords stop leaking from code, chat and configuration files.
- Network segmentation and microsegmentation
One compromised machine can no longer reach everything else.
- AI application security
Prompt injection, data leaks through AI tools and unapproved AI use get caught.
Indicators of Compromise
Extracted by AI from the linked source. Not reviewed by an editor. How this works
- malware — malicious package on PyPI