CVE-2026-56340

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.
Configurations

Configuration 1 (hide)

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2026-06-20 19:16

Updated : 2026-07-15 01:16


NVD link : CVE-2026-56340

Mitre link : CVE-2026-56340

CVE.ORG link : CVE-2026-56340


JSON object : View

Products Affected

vllm

  • vllm
CWE
CWE-20

Improper Input Validation

NVD-CWE-noinfo CWE-787

Out-of-bounds Write