CVE-2026-116179: vLLM resource exhaustion in VideoMediaIO frame-count validation

CVE-2026-116179 · Severity: high · CVSS 7.5 · Published 2026-10-25

vLLM is a framework for running large language models with multimodal support. An API client can bypass the video frame-count limit by sending a specially crafted request, causing the API server to decode and buffer an entire large video file in memory. This can exhaust server memory and crash the service, enabling a denial-of-service attack.

Technologies: vLLM Project vllm. Vendors: vLLM Project.

Quick answers

Is CVE-2026-116179 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-116179 being exploited in the wild.
How severe is CVE-2026-116179?
High severity, with a CVSS score of 7.5, published 25 October 2026.
Which products and versions are affected?
vLLM Project vllm >=0.18.0, <0.31.0.
Is there a fix for CVE-2026-116179?
Yes: fixed in 0.31.0. Until then: Deployments that trust their API clients can enable --trust-request-mm-kwargs to opt in to per-request media_io_kwargs support; the default configuration now rejects non-empty per-request media_io_kwargs to prevent client overrides of video decoder settings. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-116179 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-116179?
Check whether you run vLLM Project vllm at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • Fixed in: 0.31.0

Deployments that trust their API clients can enable --trust-request-mm-kwargs to opt in to per-request media_io_kwargs support; the default configuration now rejects non-empty per-request media_io_kwargs to prevent client overrides of video decoder settings.

Technical details

The VideoMediaIO.load_base64 method enforces a frame-count cap for video/jpeg data, but this limit can be overridden via request-level media_io_kwargs by setting num_frames to -1, which triggers unlimited frame decoding. An unauthenticated attacker with network access to the chat endpoint can submit a large inline video payload that causes the API frontend to allocate gigabytes of memory before validation rejects the request, resulting in denial of service. A fix was released in version 0.31.0.

Affected products

  • vLLM Project vLLM >=0.18.0, <0.31.0

Timeline

  • 2026-10-09: disclosed
  • 2026-10-25: advisory

References

This page as Markdown. Free to reuse under CC BY 4.0 with a link back.