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AI agent vulnerability · Transformers

CVE-2024-11394: Deserialization of Untrusted Data in Hugging Face Transformers

highCVSS 3.0 8.8GHSA-hxxf-235m-72v3

Hugging Face Transformers Trax 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.

Published Nov 23, 2024 · Updated Aug 21, 2026

Affected packages

transformers

Ecosystem
PyPI
Affected
>= 0, < 4.48.0
Fixed in
4.48.0
Check
pip show transformers

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Hugging Face Transformers Trax 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 handling 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-25012.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology

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