CVE & CISA-KEV Catalog

CVE-2025-5197

MEDIUM
5.3
CVSS v3
NVD

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.

How to fix

Remediation Available
transformersNVD
Affected:< 4.53.0Fixed in:4.53.0CVE-2025-5197derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorNetwork
Attack ComplexityLow
Privileges RequiredNone
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityNone
IntegrityNone
AvailabilityLow

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Exploit Intelligence

0.36%probability of exploitation in 30 days
28thpercentile

Low risk: more likely to be exploited than 28% of all known CVEs.

References

Related Vulnerabilities

Other CWE-1333 vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2023-3364High7.545%-Fix
CVE-2024-8124High7.540%-Fix
CVE-2024-25126Medium5.335%-Fix
CVE-2024-2651Medium6.533%-Fix
CVE-2021-32837High7.529%-Fix
CVE-2024-2829High7.526%-Fix
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2025-10-21.