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.

• https://github.com/vllm-project/vllm/commit/3d5625cc3c2474994107047d7a6ecb8e4008f9b0
• https://github.com/vllm-project/vllm/pull/59357
• https://github.com/vllm-project/vllm/releases/tag/v0.32.0
• https://github.com/vllm-project/vllm/security/advisories/GHSA-6757-hggm-hp2w

• https://github.com/vllm-project/vllm/commit/3d5625cc3c2474994107047d7a6ecb8e4008f9b0
• https://github.com/vllm-project/vllm/pull/59357
• https://github.com/vllm-project/vllm/releases/tag/v0.32.0
• https://github.com/vllm-project/vllm/security/advisories/GHSA-6757-hggm-hp2w

• CRITICALCVE-2017-20285PoC
• HIGHCVE-2019-25777PoC
• UNSCOREDCVE-2025-30047
• CRITICALCVE-2025-59953PoC
• UNSCOREDCVE-2025-64393
• CRITICALCVE-2025-66455PoC
• HIGHCVE-2026-100214
• HIGHCVE-2026-100308PoC

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