Skip to content
CVE PROGRAM SOURCE RECORD8.7 High

CVE-2026-56340

vLLM - Denial of Service via Unvalidated Multimodal Embeddings

Read JSON ↗CVE.org ↗
Status
Published
Published
Updated
Assigning organization
VulnCheck

Description

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.

Affected products

Version statuses are supplied by the assigning organization. Consult the original record for detailed ranges and platform conditions.

vLLM vLLM

Default version status: unaffected

  • 0.10.2 to < 0.13.0affected
  • 0.13.0unaffected
pkg:pypi/vllm

References