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CVE-2025-5197

Regular Expression Denial of Service (ReDoS) in huggingface/transformers

Medium5.3EPSS 0.42%
Published
Updated
Reserved
Assigned by
@huntr_ai

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.

Scores

CVSS scores of CVE-2025-5197, by who scored it
Scored byCVSSScoreVector
@huntr_aiCNA (assigner)3.0Medium5.3CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
NVDNVD · Analyzed3.0Medium5.3CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
EPSS (exploitation in 30 days)
0.42% · top 64% of all CVEs (6 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: yes · Technical impact: partial
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The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 5.3.

Weakness

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (2)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .