vLLM - Denial of Service via Unvalidated Multimodal Embeddings
At a glance
Severity
HIGH 8.7
EPSS
EPSS 0.64 % · percentile 51 (2026-10-27)
State
PUBLISHED
Published
Updated
Assigner
VulnCheck
NVD status
Modified
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.
