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China-Linked Hackers Use ARTEX AI Agents in ConnectWise Supply Chain Attack

thehackernews.com 2026-10-22 AI supply chain Critical

Executive Summary

Storm-0940 reportedly used the ARTEX agentic AI penetration testing framework during a supply chain compromise of ConnectWise Cloud Backup. Organizations using AI agents, third-party security tooling, or ConnectWise Cloud Backup should review component provenance and agent controls.

What Happened

Microsoft on Wednesday disclosed that a China state-aligned actor dubbed Storm-0940 was behind the recent supply chain compromise of the ConnectWise Cloud Backup application. During the incident, Storm-0940 used ARTEX, a Go-based agentic AI penetration testing framework that was made closed-source in the wake of its abuse in cyber attacks targeting South Korean financial institutions, to speed

Affected Products

  • ConnectWise Cloud Backup application
  • ARTEX

Vulnerability / Attack Technique

AI-assisted supply chain attack

Technical Mechanism

The reported incident involved a supply chain compromise of the ConnectWise Cloud Backup application. During the incident, Storm-0940 used ARTEX, a Go-based agentic AI penetration testing framework, to speed operations; the provided summary does not specify the exploited weakness or exact execution path.

AI Security Category

AI-assisted attack

Part of the AI-Assisted Attacks topic.

Relevant Frameworks

LLM03:2025 Supply ChainMITRE ATLAS: Initial AccessMITRE ATLAS: Execution

RealGround Analysis

This incident illustrates how agentic AI tooling can be incorporated into attacks against non-AI targets and how third-party AI components can create supply-chain exposure. Teams running AI agents or LLM applications should maintain component inventories, verify provenance, restrict agent permissions, and test agent behavior in realistic attack scenarios.

Recommended Controls

  • Maintain an inventory and software bill of materials for AI agents, frameworks, models, and supporting libraries.
  • Verify provenance, integrity, signatures, and release histories for third-party AI security tooling before deployment.
  • Restrict agent permissions, network access, and execution capabilities using least privilege and sandboxing.
  • Conduct AI red-team exercises against agent workflows and connected supply-chain components.
  • Monitor agent activity and third-party component behavior for anomalous execution or unexpected access.

Related RealGround Service

AI Agent SBOM and LLM Mapping · or start with the free AI Agent Security Scanner.

Sources

thehackernews.com: https://thehackernews.com/2026/10/china-linked-hackers-use-artex-ai.html

Summary and analysis written by RealGround from the source above; last updated 2026-10-22.

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