Description
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0.
Published: 2026-10-26
Score: 7.5 High
EPSS: n/a
KEV: No
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Remediation

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Tracking

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History

Mon, 26 Oct 2026 20:15:00 +0100

Type Values Removed Values Added
First Time appeared Vllm
Vllm vllm
Vllm-project
Vllm-project vllm
Vendors & Products Vllm
Vllm vllm
Vllm-project
Vllm-project vllm

Mon, 26 Oct 2026 18:15:00 +0100

Type Values Removed Values Added
Description vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0.
Title vLLM: Public multimodal SHM handle forgery reaches worker-side `pickle.loads()` with insecure serialization disabled
Weaknesses CWE-502
References
Metrics cvssV3_1

{'score': 7.5, 'vector': 'CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H'}


cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2026-10-26T19:35:42.879Z

Reserved: 2026-10-23T20:21:45.107Z

Link: CVE-2026-115912

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Awaiting Analysis

Published: 2026-10-26T17:17:18.910

Modified: 2026-10-26T18:34:17.050

Link: CVE-2026-115912

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-10-26T20:00:08Z

Weaknesses
  • CWE-502

    Deserialization of Untrusted Data