CNNVD-202512-4099 Information

CNNVD ID

CNNVD-202512-4099

CVE-2025-14929

  • CNNVD Published: 2025-12-23

Description (Chinese)

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X-CLIP解析检查点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。

Description (English)

Hugging Face Transformers is a framework for defining the state-of-the-art machine learning model that covers text, visual, audio and multi-modular models that can be used for reasoning and training. There is a code problem loophole in Hugging Face Transformers, which stems from the lack of validation of the data provided by the user at the X-CLIP resolution point, which may lead to anti-sequencing unreliable data and remote code execution.

Hazard Level

Medium

Vulnerability Type

代码问题

Affected Vendor

Hugging Face

Published

2025-12-23

Last Modified

2026-02-24

References

https://www.zerodayinitiative.com/advisories/ZDI-25-1144/

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