vllm-project vLLM up to 0.23.x P2pNcclConnector prefill worker X-Request-Id server-side request forgery

Summaryinfo

A vulnerability labeled as critical has been found in vllm-project vLLM up to 0.23.x. Affected by this issue is some unknown functionality of the component P2pNcclConnector prefill worker. The manipulation of the argument X-Request-Id results in server-side request forgery. This vulnerability is known as CVE-2026-116176. It is possible to launch the attack remotely. No exploit is available. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as critical has been found in vllm-project vLLM up to 0.23.x. Affected is an unknown part of the component P2pNcclConnector prefill worker. The manipulation of the argument X-Request-Id with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:

vLLM from 0.9.2 before 0.24.0 contains a server-side request forgery vulnerability that allows API callers to force outbound connections by embedding a decode address in the X-Request-Id header. Attackers can make a P2pNcclConnector prefill worker ZMQ-connect to an attacker host, leaking the NCCL unique_id and KV-cache tensors or blocking the worker.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2026-116176 since 10/25/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are known technical details, but no exploit is available.

Upgrading to version 0.24.0 eliminates this vulnerability.

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Productinfo

Type

• Project Management Software

Vendor

• vllm-project

Name

• vLLM

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18
• 0.19
• 0.20
• 0.21
• 0.22
• 0.23

Website

• Product: https://github.com/vllm-project/vllm/

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