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Orta CVSS 6.5

CVE-2026-105754: Vllm: hatalı girdi doğrulama

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Açıklama (NVD)

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.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0.

Özet bilgiler

Ürün
Vllm Vllm
CVSS v3.1
6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
%0,27 (yüzdelik 19)
CWE
CWE-20
Yama
Mevcut

Etkilenen sürümler

ÜrünBaşlangıçBitişDüzeltildi
vllm-vllm——0.30.0

Kaynaklar

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