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VULNERABILITIES

CVE-2026-56340 Details

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.

Metrics

CVSS 3.x Severity and Vector Strings:

References to Advisories, Solutions, and Tools

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Weakness Enumeration

CWE-IDCWE NameSource
CWE-20Improper Input Validation[email protected]
CWE-787Out-of-bounds Writeredhat-SADP
NVD-CWE-noinfoInsufficient Information to Classify Weakness[email protected]

Affected Products

ProductVersions
vllm vllm
>= 0.10.2, < 0.13.0

CPE

  • cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

Remediation

  • No remediation found in references.

Change History

5 change records found show changes


QUICK INFO

CVE Dictionary Entry:
CVE-2026-56340
NVD Published Date:
Jun 20, 2026
NVD Last Modified:
Jul 15, 2026
Source:
[email protected]
CVE-2026-56340 Details - Not Deferred