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CVE-2026-44223

MEDIUM · CVSS 6.5 EPSS 0.01% Public Exploit

Source: NVD + CISA KEV + EPSS · Published: 2026-05-12 · Last synced: 2026-06-09

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Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

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CVE
CVE-2026-44223
Severity
MEDIUM
CVSS
6.5
EPSS
0.01%

Original NVD Description

vLLM is an inference and serving engine for large language models (LLMs). From 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 single request with a penalty parameter (e.g., "repetition_penalty": 1.1) is sufficient to crash the server. This vulnerability is fixed in 0.20.0.