# CVE-2025-6051: transformers DoS — Fixed in 4.53.0

🐍

🐍 PyPI

Not in CISA KEV

MEDIUM severity

# CVE-2025-6051 — transformers

MEDIUM [Fix: huggingface/transformers@ba8eaba](https://github.com/huggingface/transformers/commit/ba8eaba9865618253f997784aa565b96206426f0)

CVE-2025-6051 is a medium-severity (CVSS 5.3) CWE-1333 vulnerability in transformers. A fix is available for transformers — see the affected versions and patch details below.

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

Also known as[GHSA-rcv9-qm8p-9p6j](/vulnerability/GHSA-rcv9-qm8p-9p6j)PYSEC-2026-1988

Published

Sep 14, 2025

Updated

Oct 28, 2026

Affected

1 pkg

Patched

1 / 1

Exploits

None indexed

Exploitation data as of Nov 7, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

## Exploitation Status

### Proof-of-concept exploit code exists

-   CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.

Exploitation and automatability from CISA’s SSVC triage for CVE-2025-6051.

## EPSS Exploitation Probability

[via FIRST.org ↗](https://www.first.org/epss/)

0.4%probability of exploitation in next 30 days

Lower Risk0.00%

Lower risk than most CVEs32th percentile — riskier than 32% of all scored CVEsHighest risk

0.00%0.29%0.59%0.88%0.0%0.4%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from [FIRST.org EPSS](https://www.first.org/epss/).

## How urgent is this, really

## Where this sits among everything scored

## Real-World Exposure

1 pkg affected

🐍`transformers`

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

## Description

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.

## Affected Packages

1 total 1 fixed

Ecosystem

Package

Vulnerable range

Fix

🐍PyPI

`transformers` 

all versions

4.53.0`pip install --upgrade 'transformers==4.53.0'`

## Affected Products

1 product · 1 configurations

Application

`transformers`huggingface

1 version

4.52.4

## Detection & mitigation playbook

Open-source dependency

1.  ### Detect
    
    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for transformers, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
    
2.  ### Fix
    
    Update transformers to 4.53.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-6051 is resolved across your whole dependency graph.
    
3.  ### Workarounds
    
    Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.
    

## Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatModerate

This ReDoS vulnerability is classified as a Moderate issue because, while it does not compromise confidentiality or integrity, it can significantly impact the availability of services using the affected component. Attackers can exploit this flaw by sending specially crafted long numeric inputs that cause excessive CPU…

Workaround published by Red Hat

> For mitigation, it’s recommended to implement input validation to limit the length and complexity of numeric strings processed by the EnglishNormalizer. Applying rate limiting and monitoring CPU usage can also help detect and prevent potential abuse. For services exposed to untrusted inputs, consider adding sandboxing or timeouts to avoid prolonged processing caused by malicious payloads.

Source: [Red Hat security advisory for CVE-2025-6051](https://access.redhat.com/security/cve/cve-2025-6051) (CC BY 4.0)

## Frequently Asked Questions

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 e

O3 Security · Impact-Aware SCA

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