CVE-2026-105760 vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion

Medium 5.3 Published Updated

Attackers can exhaust CPU and memory resources in vLLM by sending crafted requests with large video sampling parameters, causing service disruption.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2026-105760?

CVE-2026-105760 is a medium-severity denial of service vulnerability in Vllm Vllm, published on 5 Oct 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official description

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.

Weakness: CWE-400

Which versions are affected by CVE-2026-105760?

3 open source packages ship an affected version, including vllm. It affects 1 product.

PackageAffectedFixed in
vllm PyPIFrom 0.23.0rc20.30.0
vllm PyPIFrom 0.23.0rc20.30.0
vllm PyPIFrom 0.23.0rc20.30.0

Products include Vllm Vllm.

How do I fix CVE-2026-105760?

Upgrade vllm to 0.30.0 or later.

Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.

Is CVE-2026-105760 being exploited?

There is no known exploitation of CVE-2026-105760 in the wild and no public exploit code.

All Vllm Vllm vulnerabilities

Sources

Also known as GHSA-58v5-2m8f-94pr, MINI-ggw3-9mm2-x4m9, MINI-m33q-hwgg-4x7m, PYSEC-2026-4307.

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