Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424.

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可信数据的反序列化

Hugging Face Transformers 代码问题漏洞

Hugging Face Transformers是Hugging Face开源的一个用于定义最先进机器学习模型的框架，涵盖文本、视觉、音频和多模态模型，可用于推理和训练。 Hugging Face Transformers存在代码问题漏洞，该漏洞源于Transformer-XL Model解析模型文件时缺乏对用户提供数据的验证，可能导致反序列化不可信数据和远程代码执行。

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