CVE-2025-14927
Unknown Unknown - Not Provided

Code Injection in Hugging Face Transformers convert_config Function

Publication date: 2025-12-23

Last updated on: 2025-12-23

Assigner: Zero Day Initiative

Description
Hugging Face Transformers SEW-D 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-28252.

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Meta Information

Published
2025-12-23
Last Modified
2025-12-23
Generated
2026-07-06
AI Q&A
2025-12-23
EPSS Evaluated
2026-07-05
NVD
CVE-2025-14927

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
hugging_face transformers *

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-94 The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

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Impact Analysis

If exploited, this vulnerability allows an attacker to execute arbitrary code on your system with the privileges of the current user. This can lead to unauthorized access, data theft, system compromise, or disruption of services depending on the permissions of the user running the vulnerable software. [1]

Executive Summary

This vulnerability is a remote code execution flaw in the Hugging Face Transformers library, specifically in the convert_config function. It occurs because the function does not properly validate a user-supplied string before executing it as Python code. An attacker can exploit this by tricking a user into converting a malicious checkpoint, which then allows the attacker to run arbitrary code with the same privileges as the current user. [1]

Mitigation Strategies

To mitigate this vulnerability, avoid converting untrusted or malicious checkpoints using the convert_config function in the Hugging Face Transformers library. Ensure that only trusted sources are used for checkpoint conversion to prevent execution of arbitrary code. Additionally, monitor for updates or patches from Hugging Face that address this vulnerability and apply them promptly. [1]

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