What is the CVSS score of CVE-2025-6051?

CVE-2025-6051 has a CVSS 3.0 base score of 5.3 (Medium). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L. EPSS exploitation probability: 0.0%.

Which versions of Transformers are affected by CVE-2025-6051?

CVE-2025-6051 presents moderate security risk rated CVSS 5.3. Exploitation could compromise the security of affected deployments. Proof-of-concept code is publicly available.. A patch is available.

Is there a public PoC exploit available for CVE-2025-6051?

Yes, a public proof-of-concept exploit is available for CVE-2025-6051. Prioritise patching immediately. EPSS: 0.0%.

How to fix or mitigate CVE-2025-6051?

Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. Vendor patch is available.

Transformers CVE-2025-6051

MEDIUM

Inefficient Regular Expression Complexity (ReDoS) (CWE-1333)

2025-09-14 security@huntr.dev

Denial Of Service Transformers Hugging Face AI / ML Red Hat

5.3

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

5.3 MEDIUM

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

Red Hat

5.3 MEDIUM

qualitative

Primary rating from NVD.

CVSS VectorNVD

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

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

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

13 pypi packages depend on transformers (13 direct, 0 indirect)

Ecosystem-wide dependent count for version 4.53.0.

DescriptionCVE.org

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.

AnalysisAI

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 ContextAI

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.

RemediationAI

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.