CVE-2026-54235
MEDIUM EPSS 17.4%
Published Jun 22, 20261w ago · Modified Jun 23, 20261w ago
6.9 CVSS 4.0
Published Jun 22, 2026 1w ago
Last Modified Jun 23, 2026 1w ago
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.
CVSS Details
Base Score
Exploitability
Impact
Vector string
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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope X
Threat Intelligence
EPSS Exploit Probability
17.4% percentile
Exploit & Patch Status
No Known Exploit
No Patch Available
Weaknesses 1
CWE-1287
References 3
- github.com https://github.com/vllm-project/vllm/commit/d598d239737cfa37bcfcb98886ec3f3557fc7198
- github.com https://github.com/vllm-project/vllm/pull/45116
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823
Remediation
No remediation data recorded yet
Check vendor advisories and the NVD entry for patch availability.