vllm-project vLLM up to 0.23.0 Rust HTTP/gRPC frontends memory corruption

Summaryinfo

A vulnerability identified as problematic has been detected in vllm-project vLLM up to 0.23.0. This vulnerability affects unknown code of the component Rust HTTP/gRPC frontends. The manipulation leads to memory corruption. This vulnerability is traded as CVE-2026-100652. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in vllm-project vLLM up to 0.23.0. This issue affects some unknown functionality of the component Rust HTTP/gRPC frontends. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability. The summary by CVE is:

vLLM versions 0.22.0 through 0.23.0 fail to validate stop_token_ids against vocabulary bounds in Rust HTTP and gRPC frontends, allowing out-of-vocabulary token IDs to reach MinTokensLogitsProcessor. Attackers can submit requests with min_tokens greater than zero and out-of-vocabulary stop_token_ids to trigger CUDA tensor indexing failures that leave EngineCore in a fatal state requiring service restart.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-100652 since 09/26/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly 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
• 0.23.0

Website

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

CPE 2.3info

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CPE 2.2info

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