CVE-2025-14921

A flaw was found in the Hugging Face Transformers library. The parsing of model files fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious Transformer-XL model, resulting in arbitrary code execution in the...

CVE-2025-14921

CVE-2025-14921 affects Hugging Face Transformers (Transformer-XL) with a flaw in parsing Transformer-XL model files that fails to validate untrusted input, enabling deserialization of untrusted data and remote code execution. The underlying cause is insufficient validation during model-file parsi...

CVE-2025-14921 Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Transformer-XL 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...

CVE-2025-14921 Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers Transformer-XL 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...

Hugging Face Transformers 代码问题漏洞

Hugging Face Transformers is a Hugging Face open source framework for defining state-of-the-art machine learning models covering textual, visual, audio, and multimodal models for inference and training. A code issue vulnerability exists in Hugging Face Transformers that stems from a lack of...

PT-2025-52379

Name of the Vulnerable Software and Affected Versions Hugging Face Transformers affected versions not specified Description A flaw exists in Hugging Face Transformers due to insufficient validation of user-supplied data during the parsing of model files. This can lead to the deserialization of...

(0Day) Hugging Face Transformers Transformer-XL 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...