![AI Agents Breach Hugging Face and SonicWall Zero-Day Chains [Prime Cyber Insights]](https://img.transistorcdn.com/VRmIVu08R9uCIuPBtyhc_SG_ZxtvoXb2rVcWaHyln6g/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZWYy/MGQ0OGFhZjBlNDZk/ZDMzYmQ5ZmMxNzAx/NjBkMC5wbmc.jpg)
The episode discusses a breach at Hugging Face by an AI agent and SonicWall's zero-day vulnerabilities, highlighting trends in automated cyber attacks.
Hugging Face disclosed a breach where an autonomous AI agent system accessed internal datasets and credentials by exploiting their production infrastructure. The attack originated in a data-processing pipeline using a malicious dataset to trigger code-execution vulnerabilities. In parallel, SonicWall released patches for a zero-day chain, CVE-2026-15409 and CVE-2026-15410, which threat actor UTA0533 has used since June 22, 2026, to gain root access to SMA 1000 series appliances. The briefing also covers the "HelloNet" campaign targeting Russian government agencies by abusing the ViPNet update mechanism and a sophisticated X phishing scam using fake login alerts. These incidents highlight a trend toward higher automation in the exploitation phase, where "agentic attackers" execute thousands of actions across ephemeral sandboxes. Security practitioners are advised to rotate Hugging Face access tokens, patch SonicWall appliances immediately, and verify sender addresses for platform alerts. The shift toward AI-driven intrusions requires a rethink of incident response, as standard guardrails on hosted models can hinder forensic investigations during an active breach.
Host: Neural Newscast
Organizations: Hugging Face, SonicWall, ViPNet, UTA0533
Products: SMA 1000 series appliances
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