NemoClaw Attack Chain Targeting OpenClaw AI Platforms
Score: 6/10

NemoClaw Attack Chain Targeting OpenClaw AI Platforms

Adversaries are targeting the OpenClaw agentic AI ecosystem through malicious skills and RCE vulnerabilities to deploy Atomic macOS Stealer (AMOS) and exfiltrate data.

Executive Summary

The NemoClaw attack chain represents a specialized threat to agentic AI environments, specifically targeting the OpenClaw platform. Security researchers have identified thousands of malicious AI skills, including 39 instances observed delivering the Atomic macOS Stealer (AMOS). These campaigns leverage a combination of supply chain poisoning, prompt injection, and exploitation of specific platform vulnerabilities to gain initial access and achieve persistence within AI toolchains.

The technical workflow typically involves the publication of trojanized AI skills that appear legitimate but include hidden binaries or README-based droppers. Furthermore, two critical vulnerabilities, CVE-2026-25253 (WebSocket token handling) and CVE-2026-24763 (Docker sandbox command injection), enable remote code execution (RCE) and sandbox escapes. Attackers utilize these flaws to bypass standard controls, establish command-and-control (C2) channels, and exfiltrate credentials and sensitive data.

As organizations rapidly integrate agentic AI into their software stacks, the risk of supply chain compromise via untrusted registries increases. The impact includes PII leakage, credential theft, and unauthorized operational actions. Defenses such as NVIDIA’s NemoClaw security stack provide significant mitigation through sandboxing and intent verification, but the threat remains potent due to multi-turn prompt coercion and the sheer volume of unvetted AI assets.

Key Details

Threat Name

NemoClaw Attack Chain

Affects

OpenClaw

Adversary

—

MITRE Techniques

—

Malware/Tools

Atomic macOS Stealer

Report Score

6out of 10
Quality Score
Fair
IOC Quality4
TTP Details7
Detection Guidance5
Enterprise Relevance9
Clarity & Structure8
Technical Depth6

Sources