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.
References
Configurations
History
23 Oct 2026, 23:10
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Information
Published : 2026-06-20 19:16
Updated : 2026-10-23 23:10
NVD link : CVE-2026-56340
Mitre link : CVE-2026-56340
CVE.ORG link : CVE-2026-56340
JSON object : View
Products Affected
vllm
- vllm
CWE
