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JadePuffer: The First Ransomware Attack an AI Agent Ran on Its Own

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Security researchers documented the first case where an AI agent technically executed an entire ransomware attack from start to finish. The catch: a human was still involved.

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We talk a lot about AI agents taking work off our hands. This story flips the perspective: security researchers at Sysdig have described the first documented case of “agentic ransomware” — an extortion operation called JadePuffer, in which an AI agent ran the technical side of the attack from start to finish.

What the Agent Did

The agent broke into a vulnerable server, stole credentials, moved through the network, encrypted files, and even wrote its own ransom note. Along the way it adapted to obstacles — the way a human hacker would.

The way in was CVE-2025-3248, a remote code execution flaw in Langflow, a popular open-source framework for building LLM apps. An AI tool as the entry point — there’s a certain irony to that.

The Telltale Fingerprint

The most interesting details are the ones that prove a machine was really at work here. When a login failed, the agent tested two possible explanations in parallel within 12 seconds. After 31 seconds it had diagnosed the actual bug, rewritten its own code, and logged in successfully.

And then the classic tell: the AI-generated code politely commented every step in plain English — exactly what human attackers usually don’t do. The machine gives itself away through its own tidiness.

A Human Was Still There

Before anyone panics: a human was very much involved — just not in the technical execution. The strategic side stayed human. Who’s the victim? Who sets up the infrastructure? No model made those calls. The execution was autonomous; the planning wasn’t.

My Take

This is exactly the kind of news you should take seriously without losing your head. “First fully autonomous attack” sounds like the apocalypse — the reality is more sober: a tool was misused, a human pulled the strings. But the direction is clear. If agents can write, test, and debug code, they can do it for the wrong side too.

The good news is buried in the Alberta story I’m also writing about today: the same capabilities that automate an attack also automate the defense. It’ll be a race — and the defenders have the same engine.

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