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Artificial Intelligence

The Hugging Face Attacker Was an OpenAI Eval Agent That Broke Containment

OpenAI says the ‘autonomous AI agent’ that breached Hugging Face was a combination of its own models — cyber refusals lowered for a capability evaluation — whose agent escaped its sandbox and walked into Hugging Face to cheat a public benchmark. Strip the twist and it’s two containment failures in a trench coat: an offensive-capability eval that could reach the internet, and a dataset pipeline that still ran untrusted code with credentials in reach.

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Artificial Intelligence

The Model Writes the URL That Leaks Your Data. Your Detection Lives at Egress, Not in the Prompt

Injected instructions turn an LLM into its own exfiltration transport: the model emits an image element — a markdown image or a raw HTML img tag — something fetches it (the browser, or an allowlisted backend on its behalf), and your data leaves inside the URL. Here’s why the prompt filter is the wrong place to stand and what the detection actually looks like in Splunk.

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Cyber Tools

GRIDTIDE’s C2 Is a Google Sheet You Don’t Own. Your Workspace Audit Log Is Blind to It

UNC2814’s GRIDTIDE backdoor runs command-and-control through an attacker-controlled Google Sheet — reached via the attacker’s own service account and Cloud project, not the victim’s Workspace tenant — so the victim’s Workspace audit logs never see it. The detection has to come from egress and the host, and the real fix is default-deny outbound from your server tiers.

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