Sysdig Details JADEPUFFER, the First Documented Agentic Ransomware Operation
The LLM agent abused a Langflow flaw, harvested credentials, reached a production database, and destroyed Nacos configuration data.
Like any other cybercrime, a ransomware attack also requires an actual human to plan, choose targets, test credentials, or fix mistakes when code breaks. However, according to cybersecurity researchers at Sysdig, they have now documented a case in which the human factor appears to have been replaced by a large language model (LLM) agent, with a full extortion operation carried out from initial access to database destruction.
Researchers at the Sysdig Threat Research Team named the operator JADEPUFFER and described it as an agentic threat actor, meaning the attack execution came from an AI agent, not a human-controlled toolkit. The company said the campaign began with an exposed Langflow instance and ended with a destructive database extortion attack on a separate production server.
Langflow is an open-source framework for building LLM...
Copyright of this story solely belongs to hackread.com. To see the full text click HERE
