CVE-2026-115912

01/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.

02/Affected products

vllm: vllm

03/References4

• github.com/vllm-project/vllm/security/advisories/GHSA-6757-hggm… PatchVendor Advisory
• github.com/vllm-project/vllm/commit/3d5625cc3c2474994107047d7a6… Patch
• github.com/vllm-project/vllm/pull/59357 Patch
• github.com/vllm-project/vllm/releases/tag/v0.32.0 Release Notes