New NadMesh Botnet Hunts Exposed AI Services for Cloud Keys and Kubernetes Tokens
The NadMesh botnet automates Shodan-based discovery of exposed AI services — Ollama, ComfyUI, Langflow and others — to harvest AWS keys and Kubernetes tokens at scale, exploiting shadow-AI governance gaps.
Summary written by editorial AI · Source link below
A Go botnet called NadMesh turned up in early July hunting exposed AI services, and the operator's own dashboard claims 3,811 unique AWS keys.
A Shodan harvester keeps the scan queue stocked with ComfyUI, Ollama, n8n, Open WebUI, Langflow, and Gradio: the image generators, local model runners, and workflow builders that teams stand up fast and firewall late.
The intel feed behind that counter
Editorial Analysis
The proliferation of self-hosted AI tools without proper hardening creates a new cloud-credential theft vector that many European organisations have not yet incorporated into their threat models.
Scan for all internet-exposed AI/ML endpoints, enforce authentication, and rotate any cloud credentials that may have been accessible.
A new botnet is automatically finding and exploiting unsecured AI tools to steal cloud credentials at industrial scale.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
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