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July 31, 2026
Tailscale didn’t stop the Hugging Face intrusion
An AI agent escaped its sandbox, entered Hugging Face’s infrastructure, and used a stolen Tailscale credential to enroll 181 nodes onto their tailnet. No Tailscale vulnerability was found or exploited—we should have been able to prevent it anyway.
By now, you’ve likely heard about the AI agent that escaped a security evaluation and attacked Hugging Face, an LLM marketplace. The agent decided Hugging Face might have the answers to its benchmark, so it stole them just to cheat on the exam. That's a funny motive but a scary outcome.
Hugging Face published a
detailed reconstruction
of the intrusion. It covers about 17,600 recovered actions over four and a half days, including sandbox escapes, code execution, cloud c (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://tailscale.com/blog/hugging-face-intrusion)获取最准确的信息。

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🔗 **原文链接**: [Tailscale didn't stop the Hugging Face intrusion](https://tailscale.com/blog/hugging-face-intrusion)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 375票 · 👤 bluehatbrit

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-08-01 08:00