CVE-2025-5197: Hugging Face Transformers ReDoS Vulnerability
Transformers
A Regular Expression Denial of Service vulnerability exists in Hugging Face Transformers during TensorFlow weight name conversion. Crafted inputs can trigger catastrophic backtracking, resulting in excessive CPU consumption and service disruption.
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 61% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 6 Aug 2025
- last update
- 6 Aug 2025
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2025-08-06CVE-2025-5197: Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerabilityGitHub Advisory Database · github.com/advisories/GHSA-9356-575x-2w9m
- 2025-08-06CVE-2025-5197: A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the…NVD · nvd.nist.gov/vuln/detail/CVE-2025-5197
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
- huggingfaceredos
- dates
- happened 6 Aug 2025 · first reported 6 Aug 2025
- origin
- GitHub Advisory DatabaseVulnerability 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 07:00Z · updated 2026-10-18 10:04Z
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
This record as a short Markdown brief, for a ticket, a chat or a coding agent.
the brief as text
# CVE-2025-5197: Hugging Face Transformers ReDoS Vulnerability https://gcdradar.vercel.app/incidents/cve-2025-5197-hugging-face-transformers-redos-vulnerability · AIR-2025-0321 · closed 2025-08-06 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2025-08-06 - AI role: Attack on AI - Products: Transformers - CVE ids: CVE-2025-5197 - CVSS: 5.3 ## Summary A Regular Expression Denial of Service vulnerability exists in Hugging Face Transformers during TensorFlow weight name conversion. Crafted inputs can trigger catastrophic backtracking, resulting in excessive CPU consumption and service disruption. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2025-08-06: CVE-2025-5197: A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the… (https://nvd.nist.gov/vuln/detail/CVE-2025-5197) - 2025-08-06: CVE-2025-5197: Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability (https://github.com/advisories/GHSA-9356-575x-2w9m) ## Sources - 2025-08-06 GitHub Advisory Database: CVE-2025-5197: Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability https://github.com/advisories/GHSA-9356-575x-2w9m - 2025-08-06 NVD: CVE-2025-5197: A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the… https://nvd.nist.gov/vuln/detail/CVE-2025-5197 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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