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ComfyUI RCE Exploited in Cryptomining Botnet Campaign

ComfyUI RCE Exploited in Cryptomining Botnet Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Threat actors are actively exploiting internet-exposed ComfyUI instances — a popular AI image generation platform — by abusing its custom node execution feature to achieve unauthenticated remote code execution. Over 1,000 publicly accessible instances have been identified as targets, with compromised hosts enrolled in Monero and Conflux cryptomining operations and a Hysteria V2 proxy botnet. The attack highlights critical supply chain and insecure plugin design risks inherent in AI/ML tooling ecosystems.

AI Browser Extensions 60% Riskier Than Standard Tools

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

A LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.

botctl Process Manager Enables Prompt Injection Attacks

botctl Process Manager Enables Prompt Injection Attacks

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 HN AI Security

botctl is an open-source process manager that enables persistent, autonomous AI agents (currently Claude-backed) to run continuously as background daemons with tool access, file system write permissions, and internet connectivity. While marketed as a productivity tool, the architecture introduces substantial attack surface through unattended agentic execution, a skills marketplace with third-party prompt injection, and a locally-exposed web dashboard. The combination of persistent autonomy, extensible skill modules from arbitrary GitHub repositories, and session memory creates compounding risk vectors relevant to agentic AI security.

Claude Source Code Leak Reveals AI Supply Chain Risk

Claude Source Code Leak Reveals AI Supply Chain Risk

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

A reported source code leak affecting Claude, Anthropic's large language model, underscores systemic weaknesses in AI software supply chains and the absence of robust oversight mechanisms at critical development and distribution layers. The incident highlights how proprietary model code, training pipelines, and system prompts can become high-value targets for adversarial actors seeking to enable model theft, backdoor insertion, or competitive intelligence gathering. This event serves as a broader warning about treating AI development infrastructure with the same rigor applied to other critical systems.

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