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CVE
added 2026/05/12 7:58 p.m.55 views

CVE-2026-44223

vLLM contains a vulnerability (CVE-2026-44223) where the extract_hidden_states speculative decoding pathway can crash the EngineCore process if any request uses penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). The issue arises from an incorrect tensor shape after t...

6.5CVSS5.9AI score0.00367EPSS
SaveExploits0References2Affected Software1
OSV
OSV
added 2025/11/21 1:22 a.m.11 views

CVE-2025-62372 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

8.3CVSS6.7AI score0.0037EPSS
SaveExploits0References6
Positive Technologies
Positive Technologies
added 2025/11/20 12:0 a.m.10 views

PT-2025-47649

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.11.0 Description vLLM is an inference and serving engine for large language models LLMs. Users can cause the vLLM engine to crash when serving multimodal models by providing multimodal embedding inputs with a...

8.3CVSS6.5AI score0.0037EPSS
SaveExploits0References19
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