AI and data stack advisories

Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TransformersPYSEC-2025-211

Transformers: unsafe deserialization

Transformers

CVE-2025-14920 · Published Dec 23, 2025 · updated May 21, 2026

High7.8
No fix yet
Source advisory

Hugging Face Transformers Perceiver 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-25423.

Affected versions

PackageAffectedFixed in
transformers
PyPI
<= 4.54.1No fix yet
Details and references
CVSS 3.0
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Severity from
the CVSS score
Also known as
CVE-2025-14920

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