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CVE-2026-44223— vLLM: extract_hidden_states speculative decoding crashes server on any request with penalty parameters

CVSS 6.5 · Medium EPSS 0.04% · P13

Affected Version Matrix 1

VendorProductVersion RangeStatus
vllm-projectvllm>= 0.18.0, < 0.20.0affected
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I. Basic Information for CVE-2026-44223

Vulnerability Information

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Vulnerability Title
vLLM: extract_hidden_states speculative decoding crashes server on any request with penalty parameters
Source: NVD (National Vulnerability Database)
Vulnerability 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.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
缓冲区大小计算不正确
Source: NVD (National Vulnerability Database)
Vulnerability Title
vLLM 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
vLLM是vLLM开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.20.0之前版本存在安全漏洞,该漏洞源于extract_hidden_states推测解码提议器在第一次解码步骤后返回形状不正确的张量,导致RuntimeError崩溃EngineCore进程,当任何请求使用采样惩罚参数时触发。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

VendorProductAffected VersionsCPESubscribe
vllm-projectvllm >= 0.18.0, < 0.20.0 -

II. Public POCs for CVE-2026-44223

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III. Intelligence Information for CVE-2026-44223

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IV. Related Vulnerabilities

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