HIGHCVSS v3.1 7.5Vulnerability

CVE-2026-115912

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.

Properties

Severity
HIGH
Nvd fetched at
2026-10-26T19:15:24.996242+00:00
Cvss severity
HIGH
Cvss score
7.5
Retrieved at
2026-10-26T19:17:44+00:00
Score
7.5
Cvss version
3.1
Last source
NVD
Cve id
CVE-2026-115912
Cvss vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
First seen by Signal
2026-10-26T19:10:44+00:00
Vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Published at
2026-10-26T17:17:18.910
Last modified
2026-10-26T18:34:17.050

Related Entities (1)

HAS_WEAKNESS (1)

Explore deeper with Ninja Signal's threat intelligence graph

CVE-2026-115912 (CVSS v3.1 7.5) — Ninja Signal Threat Intelligence | Ninja Signal