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CVE-2026-94626

7.5 HIGHpublic exploit available

Published 2026-09-21 · Updated 2026-09-24

AI risk analysis

Summary
The vLLM library fails to validate the tp_size parameter in kv_transfer_params, allowing unbounded memory allocation during prefill/decode operations. This vulnerability can lead to memory exhaustion and kernel OOM-kill of decode worker processes.
Exploitability
Exploitation is straightforward as attackers can simply supply arbitrary tp_size values through OpenAI-compatible completion endpoints without requiring authentication or user interaction.
Blast radius
The vulnerability affects prefill/decode disaggregated deployments where attackers can trigger memory exhaustion across multiple decode worker processes, potentially causing service disruption and denial of service.
Detection
Monitor for kernel OOM-kill messages in system logs when decode worker processes are terminated, and watch for unusually high memory consumption patterns during prefill/decode operations.
Prioritized remediation
Upgrade to vLLM version 0.29.1 or later to address the tp_size parameter validation issue.
memorydosllm

Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.

NVD description

vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process.

CVSS vector

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

Weaknesses

CWE-789

Public exploit & PoC references

References

Data: NVD (public domain). Analysis: local $0 model. Defensive use only.