Smooth AI Criminal Drives 'First' End-to-End Agentic Ransomware Attack

Smooth AI criminal drives 'first' end-to-end agentic ransomware attack

They're not bad; they're just prompted that way. Sysdig threat hunters documented what they say is the first-ever documented agentic ransomware infection with an LLM - not a human - driving the entire extortion operation, from gaining initial access to compromising a production database server and destroying data. The security shop’s research team named the agentic intruder JadePuffer and said it gained initial access to an internet-facing Langf…

JADEPUFFER: First End-to-End AI-Driven Ransomware Operation

Sysdig reports an AI agent ran a full ransomware attack end-to-end, exploiting flaws, stealing creds, moving laterally, and encrypting data without humans. Sysdig’s Threat Research Team has documented what it assesses to be the first ransomware operation driven end-to-end by a large language model. The operator, which Sysdig calls JADEPUFFER, broke into a server, harvested […] This article has been indexed from Security Affairs Read the origin…

Agentic AI Used to Conduct Ransomware Attack via Langflow

A threat actor exploited a vulnerability in Langflow to access an organization’s instance and abuse it in an agentic ransomware attack, cloud security firm Sysdig reports. Langflow is a Python-based, LLM-agnostic open source framework used for building LLM-driven applications and agent workflows. As part of the attack, a threat actor tracked as JadePuffer gained access to an internet-exposed Langflow instance through the exploitation of CVE-2025…