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

CVE-2025-5197
MEDIUM 5.3

At a glance

Source
NVD
EPSS
EPSS 0.42 % · percentile 36 ()
State
PUBLISHED
Published
Updated
Assigner
@huntr_ai
NVD status
Analyzed

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.

Weaknesses (CWE)

  • CWE-1333 — Inefficient Regular Expression Complexity

References

Scores

VersionScoreVectorScored by
CVSS 3.0MEDIUM 5.3CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L@huntr_ai
CVSS 3.0MEDIUM 5.3CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:LNVD · security@huntr.dev (Secondary)

Advisories

European references

CERT-FR advisories

Affected configurations (NVD CPE)

Affected products

ProductVersions
huggingface · huggingface/transformersaffected unspecified < 4.53.0

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
EPSS (FIRST.org)FIRST — attribution requested
ENISA EUVDENISA — reproduction authorised, source acknowledged
CERT-FR (ANSSI)Licence Ouverte / Etalab 2.0
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain — this product uses data from the NVD API but is not endorsed or certified by the NVD