VULNERABILITY INTELLIGENCE

CVE-2026-56340

CVSS score8.8 HIGH
EPSS probability0.64%
CISA KEVNot currently listed
Published2026-06-20
Last modified2026-10-23
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

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.

Weakness classification

  • disclosure@vulncheck.com: CWE-20
  • nvd@nist.gov: NVD-CWE-noinfo
  • 0b0ca135-0b70-47e7-9f44-1890c2a1c46c: CWE-787

Primary references