CVE-2026-56340: Vllm

High severity, CVSS 7.5. EPSS: 0.6% chance of exploitation in the next 30 days.

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

• Vllm Vllm: from 0.10.2, before 0.13.0 (fixed in 0.13.0)

Published 2026-06-20. Last modified 2026-07-15.