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CVE-2025-5197— Regular Expression Denial of Service (ReDoS) in huggingface/transformers

EPSS 0.03% · P10
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I. Basic Information for CVE-2025-5197

Vulnerability Information

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Vulnerability Title
Regular Expression Denial of Service (ReDoS) in huggingface/transformers
Source: NVD (National Vulnerability Database)
Vulnerability Description
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.
Source: NVD (National Vulnerability Database)
CVSS Information
N/A
Source: NVD (National Vulnerability Database)
Vulnerability Type
CWE-1333
Source: NVD (National Vulnerability Database)
Vulnerability Title
Hugging Face Transformers 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Hugging Face Transformers是Hugging Face开源的为 Jax、PyTorch 和 TensorFlow 打造的先进的自然语言处理。 Hugging Face Transformers 4.51.3及之前版本存在安全漏洞,该漏洞源于正则表达式拒绝服务攻击。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

VendorProductAffected VersionsCPESubscribe
huggingfacehuggingface/transformers unspecified ~ 4.53.0 -

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III. Intelligence Information for CVE-2025-5197

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