CVE-2025-14928 Hugging Face Transformers HuBERT convert_config Code Injection Remote Code Execution Vulnerability

High 7.8 Published Updated

Remote attackers can execute arbitrary code by tricking users into converting a malicious checkpoint in the Hugging Face Transformers library.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Local or same network only
Victim action needed
A user has to click or open something
Fix
None listed

What is CVE-2025-14928?

CVE-2025-14928 is a high-severity code injection vulnerability in Hugging Face Transformers, published on 23 Dec 2025. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.

Official description

Hugging Face Transformers HuBERT convert_config Code Injection 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 convert a malicious checkpoint.

The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28253.

Weakness: CWE-94

Which versions are affected by CVE-2025-14928?

1 open source package ship an affected version, including transformers. It affects 1 product.

PackageAffectedFixed in
transformers PyPIAll versions to 4.57.0None

Products include Huggingface Transformers.

How do I fix CVE-2025-14928?

No fix has been published for CVE-2025-14928 yet. Limit exposure of the affected software until one is available.

Upgrade, and never evaluate templates, expressions or code built from user input. More about Code injection.

Is CVE-2025-14928 being exploited?

There is no known exploitation of CVE-2025-14928 in the wild and no public exploit code.

Sources

Also known as GHSA-c822-gwgj-vjgr, PYSEC-2025-216.

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