CVE-2026-56340 | BDVDB-2026-341878 Detail

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.

Impact#

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Exploit#

History#

1. Version 12026-06-20Record published in the CVE List.
2. Version 22026-11-08Most recent update recorded in the CVE List.