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CVE-2025-6638

UNKNOWN
Published Unknown
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No CVSS data available

Description

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

EU Vulnerability Database

Monitored by ENISA for EU cybersecurity

EU Coordination

Not EU Coordinated

Exploitation Status

No Known Exploitation

EUVD ID

View on ENISA

ENISA Analysis

Malicious code in bioql (PyPI)

Affected Products (ENISA)

huggingface
huggingface/transformers

ENISA Scoring

CVSS Score (3.0)

5.3
/10
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

EPSS Score

0.060
probability

ENISA References

https://huntr.com/bounties/6a6c933f-9ce8-4ded-8b3b-2c1444c61f36
https://github.com/huggingface/transformers/commit/47c34fba5c303576560cb29767efb452ff12b8be
https://nvd.nist.gov/vuln/detail/CVE-2025-6638
https://github.com/huggingface/transformers/commit/d37f7517972f67e3f2194c000ed0f87f064e5099

Data provided by ENISA EU Vulnerability Database. Last updated: October 3, 2025

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer

GHSA-59p9-h35m-wg4g

Advisory Details

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.

Affected Packages

PyPI transformers
ECOSYSTEM: ≥0 <4.53.0

CVSS Scoring

CVSS Score

5.0

CVSS Vector

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

References

ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2025-6638
WEB https://github.com/huggingface/transformers/commit/47c34fba5c303576560cb29767efb452ff12b8be
WEB https://github.com/huggingface/transformers/commit/d37f7517972f67e3f2194c000ed0f87f064e5099
PACKAGE https://github.com/huggingface/transformers
WEB https://huntr.com/bounties/6a6c933f-9ce8-4ded-8b3b-2c1444c61f36

Advisory provided by GitHub Security Advisory Database. Published: September 12, 2025, Modified: September 15, 2025

Published: Unknown
Last Modified: Unknown
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