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NEAR AI says attacker stole data of about 100 users via SGLang flaw

NEAR AI disclosed that an attacker exploited a remote code execution vulnerability in the open-source SGLang inference engine on one of its servers, downloading the account information of about 100 users, including emails, names and some plan and balance details. Eighteen NEAR AI Agents on legacy deployments outside a trusted execution environment were also accessed, exposing chat history, settings and logs. Two Cloud customers’ API keys found in logs have been revoked.

Original source

AI take

The exposure is small in headcount but notable in kind: an inference-engine flaw reached beyond model outputs into account and agent data, and the revoked API keys show how logging can quietly widen the blast radius. The detail that the affected agents ran on legacy deployments outside a trusted execution environment puts the spotlight on how AI infrastructure is hosted, not just which model is served. Whether the trusted-execution distinction becomes a broader segmentation standard across inference providers is the open question.

Generated by AI for reference only.

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