vllm-project vLLM up to 0.23.x Rust gRPC converter top_n input validation

Summaryinfo

A vulnerability labeled as problematic has been found in vllm-project vLLM up to 0.23.x. This impacts an unknown function of the component Rust gRPC converter. Executing a manipulation of the argument top_n can lead to input validation. This vulnerability is handled as CVE-2026-116172. The attack can be executed remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability has been found in vllm-project vLLM up to 0.23.x and classified as problematic. This vulnerability affects an unknown part of the component Rust gRPC converter. The manipulation of the argument top_n with an unknown input leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. As an impact it is known to affect availability. CVE summarizes:

vLLM from 0.22.0 before 0.24.0 contains an improper input validation vulnerability in the Rust gRPC converter that allows remote attackers to bypass max_logprobs limits via CandidateTokens.top_n. Attackers can send Generate or GenerateStream requests with oversized or integer-wrapping top_n values to trigger torch.topk failures that terminate EngineCore.

The advisory is available at github.com. This vulnerability was named CVE-2026-116172 since 10/25/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details are known, but there is no available exploit.

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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