GHSA-gx7p-2j49-hfq4: High severity pip/vllm vulnerability

Published Oct 23, 2026
·
Updated

Summary

API clients can supply arbitrary mmprocessorkwargs per request. vLLM forwards these values through the multimodal rendering and processing pipeline to Hugging Face and custom image/video processor constructors and calls. Resource-sensitive values such as image size, patch size, patch count, crop count, or frame count can therefore be controlled by a remote client.

For processors that upscale inputs, a single request can force an allocation large enough to terminate the API server or worker with an out-of-memory condition.

Affected Components

The per-request field was introduced in commit 041e29471671a3d43afedb6a749421d56ef4d3e7 and first shipped in v0.7.3. The generic forwarding path remains present in current main.

The Isaac path is a concrete high-amplification example:

- ChatCompletionRequest.mmprocessorkwargs - OnlineRenderer request extras - MMProcessorInputs.hfprocessormmkwargs - BaseMultiModalProcessor.info.gethfprocessor(hfprocessormmkwargs) - IsaacProcessingInfo.getimageprocessor(kwargs) - IsaacImageProcessor(kwargs) - processvisionforpatches()

Equivalent constructor forwarding exists in InternVL-derived processors, H2OVL, Step3VL, NemotronVL, and other multimodal processors. The issue is at the shared remote-input boundary and is not limited to a fixed model list.

Impact

- Availability: one request can exhaust CPU or GPU memory and terminate a shared service process. - Scope: all users of the affected service instance lose availability. - Authentication: vLLM's API key is optional, so deployments without an external authentication layer are remotely reachable without privileges.

Remediation

Reject non-empty per-request mmprocessorkwargs at every API-server request schema by default. Operators serving only trusted clients can explicitly opt in to the existing override behavior. Server-level --mm-processor-kwargs and offline LLM overrides remain available.

This shared boundary covers current and future multimodal processors instead of maintaining a model-specific list or a denylist that can miss custom processor arguments.

A patch for this was merged here: https://github.com/vllm-project/vllm/pull/58830

Affected Software

1 affected componentFixes available
pip/vllm>=0.7.3<0.31.0
0.31.0

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade pip/vllm to a version that resolves this vulnerability.

    Fixed in 0.31.0
  2. Configuration

    Reject non-empty per-request mm_processor_kwargs at every API-server request. Server-level --mm-processor-kwargs and offline LLM overrides remain available.

    mm_processor_kwargs = reject non-empty values

Event History

Oct 23, 2026
Advisory Published
via GitHub·08:58 PM
Data Sourced
via GitHub·08:58 PM
DescriptionSeverityWeaknessAffected Software

Frequently Asked Questions

1

Which deployments are exposed to this issue?

API deployments that accept client-controlled ChatCompletionRequest values are exposed if they permit mm_processor_kwargs to be supplied per request. The affected field first shipped in vLLM v0.7.3, and the generic forwarding path remains in current main.

2

What does an attacker need to exploit it?

An attacker needs network access to the API endpoint and does not need privileges or user interaction. They can submit resource-sensitive multimodal processor parameters, such as image size, patch count, crop count, or frame count, in a request.

3

What is the likely impact of a successful request?

A request can cause image or video processing to allocate enough memory to terminate the API server or worker with an out-of-memory condition. The described impact is denial of service; no confidentiality or integrity impact is stated.

4

Which processor paths are known to amplify the issue?

The Isaac processor path is identified as a concrete high-amplification example, reaching IsaacImageProcessor and process_vision_for_patches(). Equivalent constructor forwarding is also stated to exist in InternVL-derived processors.

Contact

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