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CVE-2026-94627

7.5 HIGHpublic exploit available

Published 2026-09-21 · Updated 2026-09-21

AI risk analysis

Summary
The flaw allows attackers to trigger GPU memory exhaustion by submitting multiple completion requests, leading to orphaned KV cache blocks and preventing legitimate requests from executing.
Exploitability
Exploitation requires concurrent child requests sharing a single transfer ID in specific deployment scenarios; moderately complex setup but feasible with targeted attacks.
Blast radius
If exploited, the impact is high as it can prevent any further legitimate requests from being processed until system restarts.
Prioritized remediation
Update to vLLM Mooncake connector version 0.29.1 or later which addresses this vulnerability.
memory-exhaustiongpuvllm-mooncake

Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.

NVD description

vLLM Mooncake connector through 0.29.0 fails to properly manage GPU KV cache block ownership when concurrent child requests share a single transfer ID in prefill/decode disaggregated deployments. Attackers can trigger GPU memory exhaustion by submitting completion requests with multiple prompts, causing orphaned KV cache blocks to accumulate until process restart and eventually preventing legitimate requests from executing.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Weaknesses

CWE-401

Public exploit & PoC references

All references

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.

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