CVE-2026-54235: vLLM temperature validation bypass for NaN and Infinity values
vLLM
vLLM fails to properly validate NaN and positive Infinity temperature parameters due to standard float comparison limitations, propagating invalid values to GPU kernels and causing crashes. The issue is documented as a vendor advisory.
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
- 6.9
- EPSS
- <0.01 · top 61% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 17 Jun 2026
- last update
- 22 Jun 2026
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2026-06-17CVE-2026-54235: vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernelsGitHub Advisory Database · github.com/advisories/GHSA-7h4p-rffg-7823
- 2026-06-22CVE-2026-54235: vLLM is an inference and serving engine for large language models (LLMs).NVD · nvd.nist.gov/vuln/detail/CVE-2026-54235
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
- dates
- happened 17 Jun 2026 · first reported 17 Jun 2026
- 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
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the brief as text
# CVE-2026-54235: vLLM temperature validation bypass for NaN and Infinity values https://gcdradar.vercel.app/incidents/cve-2026-54235-vllm-temperature-validation-bypass-for-nan-an · AIR-2026-0766 · closed 2026-06-17 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-06-17 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-54235 - CVSS: 6.9 ## Summary vLLM fails to properly validate NaN and positive Infinity temperature parameters due to standard float comparison limitations, propagating invalid values to GPU kernels and causing crashes. The issue is documented as a vendor advisory. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-06-22: CVE-2026-54235: vLLM is an inference and serving engine for large language models (LLMs). (https://nvd.nist.gov/vuln/detail/CVE-2026-54235) - 2026-06-17: CVE-2026-54235: vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels (https://github.com/advisories/GHSA-7h4p-rffg-7823) ## Sources - 2026-06-17 GitHub Advisory Database: CVE-2026-54235: vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels https://github.com/advisories/GHSA-7h4p-rffg-7823 - 2026-06-22 NVD: CVE-2026-54235: vLLM is an inference and serving engine for large language models (LLMs). https://nvd.nist.gov/vuln/detail/CVE-2026-54235 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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