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.
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
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| vllm-project | vllm | affected |
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Project Subscriptions
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Advisories
| Source | ID | Title |
|---|---|---|
 Github GHSA |
GHSA-7h4p-rffg-7823 | vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels |
Fixes
Solution
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Workaround
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References
History
Mon, 22 Jun 2026 22:45:00 +0000
| Type | Values Removed | Values Added |
|---|---|---|
| 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. | |
| Title | vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels | |
| Weaknesses | CWE-1287 | |
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| Metrics |
cvssV4_0
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Projects
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2026-06-22T21:59:02.710Z
Reserved: 2026-06-12T16:25:43.084Z
Link: CVE-2026-54235
Vulnrichment
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NVD
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Redhat
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OpenCVE Enrichment
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Weaknesses