MediumVulnerabilityLLM-specific
CVE-2025-62372: vLLM engine crash via malformed multimodal embedding input shape
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2025-62372
- Published
- Record updated
- Affected
- vllm >= 0.5.5, < 0.11.1
- Fixed in
- 0.11.1
- released November 18, 2025, 2 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
CVE-2025-62372 affects vLLM, an inference and serving engine for large language models, from version 0.5.5 before 0.11.1. Passing multimodal embedding inputs with the correct ndim but an incorrect shape, such as a wrong hidden dimension, can crash the vLLM engine serving multimodal models. The flaw is classified as CWE-129, Improper Validation of Array Index, and GitHub rates it CVSS 4.0 8.3 (High), with availability impact only.
Mitigation
This issue has been patched in version 0.11.1.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- vllmPyPILLM dependency since 2023-08-25 · 15 tracked dependents
Topics
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