CVE-2026-54235

vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kernels

MEDIUM
6.5
CVSS Score
Published: June 22, 2026 at 09:59 PM UTC
Updated: October 25, 2026 at 11:10 PM UTC
1 product affected across 1 vendorvLLM

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Severity
MEDIUM6.5
Exploit prediction
EPSS 0.4%
SSVC
No known exploit

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.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

v < 0.23.1
Affected range stops below 0.23.1, so it looks safe — our inference, not a vendor statement
Affected range stops below 0.23.1rc0, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

References (3)

x_refsource_CONFIRMExploitThird Party Advisory
Source: cverecord
https://github.com/vllm-project/vllm/security/advisories/GHSA-7h4p-rffg-7823
x_refsource_MISCIssue Tracking
Source: cverecord
https://github.com/vllm-project/vllm/pull/45116

SSVC — Action Prioritization

SSVCNo known exploitAutomatablePartial impact

SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.

CVSS

Attack Vector
NETWORK
Complexity
LOW
Privileges
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
LOW
Availability
LOW
Vector?

Quick Info

StatusANALYZED
CWE
CWE-1287

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