An attacker exploited a remote code execution flaw in SGLang, an open-source inference engine, and ran code on one of NEAR AI's inference servers last Sunday.

The attacker could also have seen requests being processed on that server that day, including requests sent in confidential mode, the company said earlier this week. That mode processes requests inside a trusted execution environment (TEE) designed to keep them private even from the company itself.

But the TEE "does not protect against a vulnerability in the software running inside the environment," the company said. SGLang runs inside the TEE, which is how the attacker could reach requests there.

That access has since been closed, but not before the attacker moved further into the company's systems.

The attacker reached an internal system behind Private Chat, a product the company had already deprecated. So far, the company has confirmed that the attacker downloaded account details for about 100 users there. These are email addresses and names, and for some accounts, plan and balance information.

The company found no sign that stored Private Chat conversations or uploaded files were accessed.

The attacker also reached 18 AI agents on an older deployment of NEAR AI Agents that did not run inside the company's TEE. From those agents, the attacker took data including chat history, settings and logs.

Two customers' NEAR AI Cloud API keys were exposed in logs. The company has revoked both.

After detecting the attack, the company revoked all active sessions and administrator credentials, replaced all agent tokens and took Private Chat offline.

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