A single fake error message to a public endpoint can trick an AI coding agent into leaking credentials. Over 2,388 organizations are exposed. NIST says the problem is mathematically impossible to fully prevent.
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A security researcher disclosed a new attack class that requires no malware, no phishing, and no stolen password. The attacker sends a single fake error message to a public endpoint your own website already exposes. The AI coding agent, using its own permissions, reads environment variables, Git credentials, and cloud API keys back to the attacker. Over 2,388 organizations are already exposed, the researcher said.
Agentjacking is not a jailbreak. Nobody tricked the model into saying something it should not. The model did exactly what it was designed to do. It followed instructions that looked completely legitimate. That is the whole attack.
NIST researchers proved mathematically that this category of problem can never be fully closed. The fundamental issue is that an agent cannot distinguish a legitimate instruction from a malicious one that looks identical. The attack exploits the agent's own trusted permissions, not a vulnerability in the underlying model.
The researcher recommended organizations restrict the scope of credentials accessible to coding agents and implement human-in-the-loop approval for any instruction that reads secrets. The 2,388 exposed organizations were identified by scanning public endpoints for the relevant agent configuration.
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