5.3

CVE-2025-5197

Exploit

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

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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Huggingface ≫ Transformers Version < 4.53.0
VulnDex Vulnerability Enrichment
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Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.36% 0.28
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
security@huntr.dev 5.3 3.9 1.4
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CWE-1333 Inefficient Regular Expression Complexity

The product uses a regular expression with an inefficient, possibly exponential worst-case computational complexity that consumes excessive CPU cycles.

https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf
Patch
Third Party Advisory
Exploit
Issue Tracking
https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b
Patch