Improper Validation of Specified Type of Input Affecting vllm-wheels package, versions *
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-MINIMOSLATEST-VLLMWHEELS-17377228
- published19 Jun 2026
- disclosed22 Jun 2026
Introduced: 19 Jun 2026
NewCVE-2026-54235 (opens in a new tab)How to fix?
There is no fixed version for Minimos:latest vllm-wheels.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-wheels package and not the vllm-wheels package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.
References
- https://www.cve.org/CVERecord?id=CVE-2026-54235
- https://github.com/advisories/GHSA-7h4p-rffg-7823
- https://osv.dev/vulnerability/MINI-gccg-j4m6-q6q8
- https://osv.dev/vulnerability/CVE-2026-54235
- https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198
- https://github.com/vllm-project/vllm/pull/45116
- https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823