CVE-2025-6051

MEDIUM
2025-09-14 [email protected]
5.3
CVSS 3.0
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CVSS Vector

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low

Lifecycle Timeline

4
Analysis Generated
Mar 28, 2026 - 19:12 vuln.today
Patch Released
Mar 28, 2026 - 19:12 nvd
Patch available
PoC Detected
Oct 21, 2025 - 14:16 vuln.today
Public exploit code
CVE Published
Sep 14, 2025 - 17:15 nvd
MEDIUM 5.3

Tags

Denial Of Service Transformers Hugging Face AI / ML Redhat

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.

Analysis

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. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical Context

This vulnerability is classified under CWE-1333. 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 products include: Huggingface Transformers. Version information: up to 4.52.4.

Affected Products

Huggingface Transformers.

Remediation

A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.

Priority Score

47
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +26
POC: +20

Vendor Status

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CVE-2025-6051 vulnerability details – vuln.today
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