7 matches found
CVE-2026-115912
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonicid values in public multimodal features.kwargsdata. In scale-out deployments with shared-memory multimodal caching enabled, workers trust...
EUVD-2026-92844
vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features...
CVE-2026-105754
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargsdata field, cache identifiers in the features.mmhashes field, ranges in the...
CVE-2026-105754 vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargsdata field, cache identifiers in the features.mmhashes field, ranges in the...
CVE-2026-105754 vLLM: Scale-out disaggregated multimodal transport trusts caller-supplied features
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargsdata field, cache identifiers in the features.mmhashes field, ranges in the...
CVE-2026-105754
The vLLM inference and serving engine (prior to version 0.30.0 ) contains a vulnerability in the /inference/v1/generate endpoint within the disaggregated scale-out path. The root cause is that the system trusts caller-supplied features—specifically in the features.kwargs_data , features.mm_hashes...
CVE-2026-105754
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargsdata field, cache identifiers in the features.mmhashes field, ranges in the...