Detections
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Chainguard: vllm-openai-cuda-13.0: security update to 0.31.0-r0

medium Tenable Self-Hosted Container Security Plugin ID 476116

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - 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. (CVE-2026-105754)

Solution

Update the vllm-openai-cuda-13.0 library and its related packages to version 0.31.0-r0 or later.

Plugin Details

Severity: Medium

ID: 476116

Version: Revision 1.1

Type: Local

Published: 10/17/2026

Updated: 10/17/2026

Risk Information

VPR

Risk Factor: Low

Score: 3

Percentile: 23.68

CVSS v2

Risk Factor: Medium

Base Score: 6.8

Temporal Score: 5

Vector: CVSS2#AV:N/AC:L/Au:S/C:N/I:N/A:C

CVSS Score Source: CVE-2026-105754

CVSS v3

Risk Factor: Medium

Base Score: 6.5

Temporal Score: 5.7

Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Temporal Vector: CVSS:3.0/E:U/RL:O/RC:C

Vulnerability Information

Exploit Ease: No known exploits are available

Vulnerability Publication Date: 10/5/2026

Reference Information

CVE: CVE-2026-105754