CVE-2026-44223: vLLM is an inference and serving engine for large language models (LLMs)
CVE-2026-44223 is a medium-severity flaw (CVSS 6.5) affecting vllm. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.
vLLM is an inference and serving engine for large language models (LLMs). From 0.18.0 to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash is triggered when any request in the batch uses sampling penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). A si
Why this priority
- No elevated risk signals yet
A fixed release or distro patch exists.
Last updated 2026-06-22 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score
Am I affected?
Timeline
- Published CVE record published
- Updated Record last modified
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.
Quick answers
How do I fix CVE-2026-44223?
vllm: upgrade to 0.20.0. Exact commands for each OS are on this page.
Is CVE-2026-44223 being exploited?
CVE-2026-44223 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.
What does CVE-2026-44223 affect?
CVE-2026-44223 affects vllm. Severity is medium (CVSS 6.5). vLLM is an inference and serving engine for large language models (LLMs). From 0.18.0 to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, ca
How urgent is CVE-2026-44223?
Priority 30/100. No elevated risk signals yet.
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