CVE-2025-6051: ReDoS vulnerability in Hugging Face Transformers EnglishNormalizer
Transformers
A denial of service vulnerability was discovered in the Hugging Face Transformers library affecting EnglishNormalizer. The flaw allows crafted inputs to cause excessive CPU consumption, which has been patched in version 4.53.0.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
- CVSS
- 5.3
- EPSS
- <0.01 · top 68% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 14 Sep 2025
- last update
- 14 Sep 2025
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2025-09-14CVE-2025-6051: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library,…NVD · nvd.nist.gov/vuln/detail/CVE-2025-6051
- 2025-09-14CVE-2025-6051: Hugging Face Transformers library has Regular Expression Denial of ServiceGitHub Advisory Database · github.com/advisories/GHSA-rcv9-qm8p-9p6j
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerability
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- tags
- redoshuggingface
- dates
- happened 14 Sep 2025 · first reported 14 Sep 2025
- origin
- NVDVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- record
- confidence 0.95 · created 2026-10-18 06:33Z · updated 2026-10-18 07:00Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
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the brief as text
# CVE-2025-6051: ReDoS vulnerability in Hugging Face Transformers EnglishNormalizer https://gcdradar.vercel.app/incidents/cve-2025-6051-redos-vulnerability-in-hugging-face-transforme · AIR-2025-0023 · closed 2025-09-14 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2025-09-14 - AI role: Attack on AI - Products: Transformers - CVE ids: CVE-2025-6051 - CVSS: 5.3 ## Summary A denial of service vulnerability was discovered in the Hugging Face Transformers library affecting EnglishNormalizer. The flaw allows crafted inputs to cause excessive CPU consumption, which has been patched in version 4.53.0. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2025-09-14: CVE-2025-6051: Hugging Face Transformers library has Regular Expression Denial of Service (https://github.com/advisories/GHSA-rcv9-qm8p-9p6j) - 2025-09-14: CVE-2025-6051: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library,… (https://nvd.nist.gov/vuln/detail/CVE-2025-6051) ## Sources - 2025-09-14 NVD: CVE-2025-6051: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library,… https://nvd.nist.gov/vuln/detail/CVE-2025-6051 - 2025-09-14 GitHub Advisory Database: CVE-2025-6051: Hugging Face Transformers library has Regular Expression Denial of Service https://github.com/advisories/GHSA-rcv9-qm8p-9p6j Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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