MEDIUM 6.5 NVD
CVE-2026-105753
vLLM is an inference and serving engine for large language models. Prior to 0.28.0, the default mirrored multimodal LRU cache can commit a media hash in the fro
vLLM is an inference and serving engine for large language models. Prior to 0.28.0, the default mirrored multimodal LRU cache can commit a media hash in the frontend sender cache during multimodal rendering and before engine admission, while the engine receiver cache never receives the payload if that request is rejected. A later request reusing the same media hash causes MultiModalProcessorSenderCache to send no payload and MultiModalReceiverCache to reach an assertion with the message "Expected a cached item," producing a shared-service availability failure. This issue is fixed in version 0.28.0.
References
- https://github.com/vllm-project/vllm/commit/396204230423b7cc6798300926b8fa30190d26a9
- https://github.com/vllm-project/vllm/pull/46747
- https://github.com/vllm-project/vllm/pull/51897
- https://github.com/vllm-project/vllm/releases/tag/v0.28.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-ph3r-5jfg-f84f
This medium severity vulnerability with a CVSS score of 6.5 was published on 2026-10-05 via NVD.
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