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VulnerabilityPublished

CVE-2026-54235: vllm · Improper Validation of Specified Type of Input

Affects vllmSource CVE Database V5

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Not known to be exploited · CVSS 6.9 Medium : upgrade to 0.23.1rc0 when convenient.

Data as of 5 Nov 2026, 23:24 UTC

CVSS 4.0 base score
6.9Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 39% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.23.1rc0
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

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 5 Nov 2026.

What to do

Upgrade vllm to 0.23.1rc0.

Affected software

ProductAffectedFixed in
vllm-projectvllmAffected
  • <0.23.1rc0
Fixed in
  • 0.23.1rc0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade to vLLM version 0.23.1rc0 or later, where the temperature validation properly handles NaN and positive Infinity values. No other mitigation or workaround is indicated. Patch status is not explicitly confirmed in the advisory, but the fix is stated to be in 0.23.1rc0.

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.

References

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