| Component | vLLM |
| Severity | medium (CVSS 6.5) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L |
| Published (NVD) | 2026-06-22 |
| Last modified | 2026-06-24 |
| Affected versions | vllm < 0.23.1 |
| Fixed in | 0.23.1 |
| Weakness | CWE-1287 |
| CISA KEV | not listed |
NVD description
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.
What to do
- Upgrade vLLM to
0.23.1or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-54235
- https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198
- https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823
- https://github.com/vllm-project/vllm/pull/45116
Read more
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