Improper Input Validation Affecting vllm-cu130 package, versions <0.30.0-r0


Severity

Recommended
low

Based on default assessment until relevant scores are available.

Threat Intelligence

EPSS
0.27% (18th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk IDSNYK-MINIMOSLATEST-VLLMCU130-20541835
  • published7 Oct 2026
  • disclosed5 Oct 2026

Introduced: 5 Oct 2026

NewCVE-2026-105754  (opens in a new tab)
CWE-20  (opens in a new tab)
CWE-617  (opens in a new tab)
CWE-639  (opens in a new tab)
CWE-668  (opens in a new tab)
CWE-704  (opens in a new tab)
CWE-1284  (opens in a new tab)

How to fix?

Upgrade Minimos:latest vllm-cu130 to version 0.30.0-r0 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream vllm-cu130 package and not the vllm-cu130 package as distributed by Minimos. See How to fix? for Minimos:latest relevant fixed versions and status.

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors in the features.kwargs_data field, cache identifiers in the features.mm_hashes field, ranges in the features.mm_placeholders field, and wire-selected multimodal field processors without rebinding them to the active model renderer contract. Forged grid geometry, field types, or non-positive placeholder lengths can terminate the shared EngineCore; when an attacker knows or can induce a victim's content hash, forged cache hashes can poison or retrieve cross-request encoder-cache state; and dropped sparse placeholder masks can alter replayed transport semantics. This issue is fixed in version 0.30.0.