CVE-2025-62372 (GCVE-0-2025-62372)

Vulnerability from cvelistv5 – Published: 2025-11-21 01:22 – Updated: 2025-11-24 18:11
VLAI?
Title
vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs
Summary
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 the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1.
Severity ?
8.3 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:H
CWE
  • CWE-129 - Improper Validation of Array Index
Assigner
References
Impacted products
Vendor Product Version
vllm-project vllm Affected: >= 0.5.5, < 0.11.1
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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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