CVE catalog

CVE-2026-56340

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 submi

[CVE catalog]

Severity
High · CVSS 8.8CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Published
Source
[NVD] · [CVE record]
EPSS
0.64% · Oct 25, 2026

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.

Vulnerable and fixed packages

Distribution-reported package versions and fixes. These do not depend on matching against the OpenFactory package catalog.

DistributionPackageReleaseVersionStatus
CpevllmNot reported0.13.0fixed
PipvllmNot reported0.13.0fixed
CpevllmNot reported0.13.0fixed

Fixed-version evidence

DistributionPackageTypeReleaseFixed versionUrgencyOriginBugs
CpevllmcpeNot reported0.13.0Not reportedNot reportedNot reported
PipvllmpipNot reported0.13.0Not reportedGHSA-MCMC-2M55-J8JJNot reported
CpevllmcpeNot reported0.13.0Not reportedNVD-CVE-2026-56340Not reported

OpenFactory catalog packages

No matching packages in this catalog.

Observed:

References