Sysdig says it has documented the first ransomware attack carried out end to end by an AI agent, which autonomously exploited exposed systems, stole credentials, established persistence, compromised a production database, and destroyed data. The research team named the attacker "JadePuffer" and said it gained initial access to an internet-facing Langflow instance by exploiting CVE-2025-3248. "The most striking characteristic, however, was the LLM's behavior," Sysdig director of threat research Michael Clark said in a blog post. An anonymous reader quotes an excerpt from The Register: JadePuffer's "self-narrating" payloads "contained natural language reasoning, target prioritization, and the kind of detailed annotations that human operators don't often write but LLM-generated code produces reflexively," Clark added. "The operation also adapted in real time, retrying failed steps within refined parameters. In one sequence, it went from a failed login to a working fix in 31 seconds." After exploiting CVE-2025-3248, a missing authentication vulnerability in Langflow that allows remote, unauthenticated attackers to execute arbitrary Python on the host, the AI agent began scanning for and collecting secrets, including LLM provider API keys, cloud credentials "with explicit coverage of Chinese providers" including Alibaba, Aliyun, Tencent, and Huawei, while also scanning for AWS, Azure and Google Cloud Platform, cryptocurrency wallets, and database credentials....
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