vllm-project vLLM up to 0.30.x Video Media I/O media_io_kwargs.video VideoMediaIO num_frames resource consumption

Summaryinfo

A vulnerability labeled as problematic has been found in vllm-project vLLM up to 0.30.x. This affects the function VideoMediaIO of the file media_io_kwargs.video of the component Video Media IO. Such manipulation of the argument num_frames leads to resource consumption. This vulnerability is documented as CVE-2026-126399. The attack can be executed remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in vllm-project vLLM up to 0.30.x. It has been rated as problematic. Affected by this issue is the function VideoMediaIO of the file media_io_kwargs.video of the component Video Media IO. The manipulation of the argument num_frames with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource. Impacted is availability. CVE summarizes:

vLLM from 0.19.0 before 0.31.0 contains a resource exhaustion vulnerability that allows inference clients to bypass the server frame limit by setting media_io_kwargs.video.num_frames in chat completion requests. Attackers can supply num_frames=-1 or a large value with many base64 JPEG frames, forcing VideoMediaIO to decode all frames and np.stack them, causing memory exhaustion.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2026-126399 since 11/10/2026. The exploitation is known to be easy. The attack may be launched remotely. There are known technical details, but no exploit is available. The MITRE ATT&CK project declares the attack technique as T1499.

Upgrading to version 0.31.0 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

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
• 0.24
• 0.25
• 0.26
• 0.27
• 0.28
• 0.29
• 0.30

Website

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

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