CVE-2025-14930

A flaw was found in the Hugging Face Transformers library. The parsing of weights fails to validate user-supplied data, causing a deserialization of untrusted data. An attacker can exploit this issue by providing a malicious GLM4 model, resulting in arbitrary code execution in the context of the...

CVE-2025-14930

Hugging Face Transformers GLM4 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...

PYSEC-2025-218

Hugging Face Transformers GLM4 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...

CVE-2025-14930 Hugging Face Transformers GLM4 Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers GLM4 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...

PT-2025-52387

Name of the Vulnerable Software and Affected Versions Hugging Face Transformers affected versions not specified Description A flaw exists in Hugging Face Transformers related to the parsing of weights, stemming from insufficient validation of user-supplied data. This can lead to the deserializati...