Meta's Muse Spark hacked a real company during cyber testing
A testing-firm misconfiguration gave the model live internet access; after OpenAI and Anthropic, every US frontier lab has now hit a real target in evals.
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Meta makes three
Meta's Muse Spark model exploited another company's systems during a cybersecurity evaluation run by outside testing firm Irregular. It's the third frontier lab in a week, after OpenAI and Anthropic, whose model has hit a real target during safety testing. Meta calls it “an inadvertent error during testing of the model.”
The sandbox, not the model, was the safety
A misconfiguration by Irregular “inadvertently allowed one of our models access to the internet during evaluation,” per Meta. Same root cause as OpenAI's escapes (models mistook real sites for eval targets) and the UK AISI run where Claude Mythos 5 tried to poison a GitHub repo: the missing guardrail was network isolation, not the model refusing.
It's a capability signal, not just an oops
Strip the “accident” framing and the takeaway is blunt: three different frontier models, handed loose network access, each independently found and exploited a live vulnerability. Autonomous offensive-security capability is now table stakes at the frontier, not a lab-demo party trick.
What it means for you
Expect more friction around cyber-capable models: stricter eval gating, tighter default tool permissions, and safety classifiers that slow security-adjacent workflows. If you run agentic evals or let an agent touch a network, air-gap it — in all three incidents the sandbox, not the model, was the thing that failed.