Security incident disclosure — July 2026

Hugging Face what happened What we did For our community Analyzing an AI-driven intrusion The asymmetry problem What this means Earlier this week, we detected and responded to an intrusion into part of our production infrastructure. This one was different from anything we had handled before in one important way: it was driven, end to end, by an autonomous AI agent system – and we detected and dissected it largely with AI of our own.

We identified unauthorized access to a limited set of internal datasets and to several credentials used by our services. We are still completing our assessment of whether any partner or customer data was affected, and we will contact any affected parties directly as required. We have found no evidence of tampering with public, user-facing models, datasets, or Spaces, and our software supply chain (container images and published packages) was verified clean. The intrusion started where AI platforms are uniquely exposed: the data-processing pipeline. A malicious dataset abused two code-execution paths in our dataset processing (a remote-code dataset loader and a template-injection in a dataset configuration) to run code on a processing worker. From there, the actor escalated to node-level access, harvested cloud and cluster credentials, and moved laterally into several internal clusters over a weekend. The campaign was run by an autonomous agent framework (appearing to be built on an agentic security-research harness – used LLM still not known) executing many thousands of individual actions across a swarm of short-lived sandboxes, with self-migrating command-and-control staged on public services. This matches the “agentic attacker” scenario the industry has been forecasting. We are working with outside cybersecurity forensic specialists to investigate the issue and review our security policies and procedures. Finally, we have also reported this incident to law enforcement agencies. As a precaution, we recommend rotating any access tokens and reviewing recent activity on your account. If you believe you are affected, or want to report a security concern, contact us at security@huggingface.co. We are grateful to the teams across Hugging Face who responded around the clock, and we are sorry for any disruption this caused. Security is never finished; we will keep raising the bar. The attack was initially surfaced through AI-assisted detection.