Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
vLLM versions from 0.8.5 before 0.24.0 do not reject a temperature value of NaN or positive Infinity, because the validation checks use comparisons that evaluate to False for those values. Such a request can reach GPU sampling kernels and crash the inference worker, affecting all concurrent users. Upgrade to vLLM 0.24.0 or later, which fixes the issue.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 6.9 | Medium | 4.0 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.0045, the 39th percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 14:29 UTC First seen by agentprime
- 31 Oct 2026, 14:29 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-7h4p-rffg-7823
- OSV: GHSA-7h4p-rffg-7823
- github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823
- nvd.nist.gov/vuln/detail/CVE-2026-54235
- github.com/vllm-project/vllm/pull/45116
- github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198
- github.com/advisories/GHSA-7h4p-rffg-7823
- github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-3405.yaml
- github.com/vllm-project/vllm
- pypi.org/project/vllm