[CVE-2026-56340] vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings p…

Descripción técnica

vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

Puntuación CVSS

Score: 8.8/10 — Severidad: HIGH — Estado NIST: Modified

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Productos afectados

Vllm — Vllm

Debilidades (CWE)

CWE-20, CWE-787

Fuente oficial

Publicado en NIST NVD.