CVE-2025-6051
published 2025-09-14CVE-2025-6051: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the…
PriorityP428medium5.3CVSS 3.0
AVNACLPRNUINSUCNINAL
EPSS
0.35%
26.7th percentile
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
3 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| huggingface | huggingface_transformers | >= unspecified < 4.53.0 | 4.53.0 |
| huggingface | transformers | — | — |
| huggingface | transformers | >= 0 < 4.53.0 | 4.53.0 |
CVSS provenance
nvdv3.05.3MEDIUMCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
vendor_redhat5.3MEDIUM
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Red Hat
transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformers
vendor_redhat·2025-09-14·CVSS 5.3
CVE-2025-6051 [MEDIUM] CWE-1333 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformers
transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformers
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.
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered
GHSA
Hugging Face Transformers library has Regular Expression Denial of Service
ghsa·2025-09-14
CVE-2025-6051 [MEDIUM] CWE-1333 Hugging Face Transformers library has Regular Expression Denial of Service
Hugging Face Transformers library has Regular Expression Denial of Service
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.
OSV
Hugging Face Transformers library has Regular Expression Denial of Service
osv·2025-09-14
CVE-2025-6051 [MEDIUM] Hugging Face Transformers library has Regular Expression Denial of Service
Hugging Face Transformers library has Regular Expression Denial of Service
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.
No detection rules found.
No public exploits indexed.
2025-09-14
Published