CVE-2025-6051: Transformers Denial of Service Vulnerability

MODERATE
Advisory Identifier: GHSA-rcv9-qm8p-9p6j
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CVSS 5.3
CWE-1333
Published
Advisory Summary

CVE-2025-6051 is a MODERATE (CVSS 5.3) denial of service vulnerability (CWE-1333: Inefficient Regular Expression Complexity) affecting Transformers libraries in the PyPI ecosystem. The issue involves hugging face transformers library has regular expression denial of service. Remediation is available by upgrading affected packages to version 4.53.0.

CVE-2025-6051 at a Glance

CVE Identifier CVE-2025-6051
GHSA Identifier GHSA-rcv9-qm8p-9p6j
Severity MODERATE
CVSS v3.1 Base Score 5.3
CWE Classification CWE-1333: Inefficient Regular Expression Complexity
Affected Product Transformers
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.3

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality None (C:N)
Integrity None (I:N)
Availability Low (A:L)

How to Fix CVE-2025-6051

To remediate this vulnerability, upgrade all affected Transformers dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

transformers fixed: 4.53.0 
pip install transformers>=4.53.0
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show transformers

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-6051, inspect your installed packages using pip:

pip show transformers

Analyze the terminal output to locate any version of Transformers in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 4.53.0), your application is affected.

Note: The pip show transformers command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-1333: Inefficient Regular Expression Complexity, where the product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential. In Transformers, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.

CVE-2025-6051 Affected Transformers Versions

1 component(s)
Fixed Versions:
4.53.0
Product / Package Ecosystem Affected Versions Fixed Version
transformers
pypi/transformers
PyPI
< 4.53.0
4.53.0

References

NVD — CVE-2025-6051 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-6051
Transformers Source Repository REPOSITORY
https://github.com/huggingface/transformers/pull/38844
Security Fix Commit FIX COMMIT
https://github.com/huggingface/transformers/commit/54a02160eb030da9be18231c77791f2eb3a52216
Security Fix Commit FIX COMMIT
https://github.com/huggingface/transformers/commit/ba8eaba9865618253f997784aa565b96206426f0
Transformers Source Repository REPOSITORY
https://github.com/huggingface/transformers
huntr.com/bounties/af929523-7... WEB
https://huntr.com/bounties/af929523-7b59-418a-bf55-301830b2ac9d

Frequently Asked Questions

What is CVE-2025-6051?
CVE-2025-6051 is a security vulnerability in Transformers involving Hugging Face Transformers library has Regular Expression Denial of Service under CWE-1333: Inefficient Regular Expression Complexity.
Which Transformers versions are affected?
Affected versions include releases prior to 4.53.0 across affected packages: transformers.
What version fixes CVE-2025-6051?
Upgrading to 4.53.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is transformers affected?
Yes, transformers is affected in releases prior to 4.53.0. Upgrade your dependency to 4.53.0 or later.
What is the CVSS score of CVE-2025-6051?
CVE-2025-6051 has a CVSS v3.1 base score of 5.3 (MODERATE) with vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L.
What CWE is associated with CVE-2025-6051?
CVE-2025-6051 is classified under CWE-1333: Inefficient Regular Expression Complexity (The product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential.).
How can I check PyPI dependencies for CVE-2025-6051?
Run the dependency tree command: 'pip show transformers'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
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  "id" : "GHSA-rcv9-qm8p-9p6j",
  "modified" : "2025-09-15T20:31:45Z",
  "published" : "2025-09-14T18:30:26Z",
  "aliases" : [ "CVE-2025-6051" ],
  "summary" : "Hugging Face Transformers library has Regular Expression Denial of Service",
  "details" : "A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource exhaustion, and API vulnerabilities.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "transformers"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "4.53.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
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  }, {
    "type" : "WEB",
    "url" : "https://github.com/huggingface/transformers/pull/38844"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/huggingface/transformers/commit/54a02160eb030da9be18231c77791f2eb3a52216"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/huggingface/transformers/commit/ba8eaba9865618253f997784aa565b96206426f0"
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  } ],
  "database_specific" : {
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    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-09-15T20:31:45Z",
    "nvd_published_at" : "2025-09-14T17:15:34Z"
  }
}