5.3

CVSS Score

3.0

-

CVSS Score

Basic Information

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CVE-2025-6638

CVE-2025-6638: Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer

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.

(GitHub Advisory)

Miggo Vulnerability Database

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CVE-2025-6638

CVE-2025-6638:

5.3

CVSS Score

3.0

-

CVSS Score

Basic Information

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Technical Details

Package Name	Ecosystem	Vulnerable Versions	First Patched Version
transformers	pip	< 4.53.0	4.53.0

Technical Details

Vulnerability Intelligence
Miggo AI

Root Cause Analysis

The analysis of the provided security patches confirms that the ReDoS vulnerability is located in the remove_language_code method of the MarianTokenizer class. The commit 47c34fba5c303576560cb29767efb452ff12b8be directly addresses this issue by removing the vulnerable regular expression (re.compile(">>.++<<")) and replacing it with a simple string manipulation check using startswith() and find(). The vulnerable code, which uses self.language_code_re.match(text) and self.language_code_re.sub("", text), is the root cause of the potential denial of service. When the vulnerability is triggered by a malicious input, the MarianTokenizer.remove_language_code function would be the one consuming excessive CPU resources, making it the key indicator in a runtime profile.

Vulnerable functions

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Vulnerability Intelligence
Miggo AI

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WAF Protection Rules

WAF Rule

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Reasoning

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