Is CVE-2026-105760 exploited in the wild?

No. Junglewise Threat Intelligence has no report of CVE-2026-105760 being exploited in the wild.

How severe is CVE-2026-105760?

Medium severity, with a CVSS score of 5.3, published 5 October 2026.

Which products and versions are affected?

vllm (PyPI) >= 0.23.0rc2, < 0.30.0, ECOSYSTEM:introduced=0.23.0rc2,fixed=0.30.0; vLLM Project vllm prior to 0.30.0.

Is there a fix for CVE-2026-105760?

Yes. vllm (PyPI): upgrade to 0.30.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

How is CVE-2026-105760 attacked?

It is attacked over the network, in a software library.

Am I affected by CVE-2026-105760?

Check whether you run vllm (PyPI) or 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.

CVE-2026-105760: vLLM resource exhaustion in GLMGA video backend

Q: Is there a fix for CVE-2026-105760?

Yes. vllm (PyPI): upgrade to 0.30.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

Q: How is CVE-2026-105760 attacked?

It is attacked over the network, in a software library.

Q: Am I affected by CVE-2026-105760?

Check whether you run vllm (PyPI) or 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.

CVE-2026-105760 · Severity: medium · CVSS 5.3 · Published 2026-10-05

vLLM is an open-source inference engine for large language models that processes video input through a GLMGA backend. An attacker can submit requests with large video frame sampling parameters that cause excessive CPU and memory consumption in the shared media-loading executor, potentially disrupting service availability for other users.

Technologies: vllm (PyPI), vLLM Project vllm. Vendors: PyPI, vLLM Project.

Quick answers

Is CVE-2026-105760 exploited in the wild?: No. Junglewise Threat Intelligence has no report of CVE-2026-105760 being exploited in the wild.
How severe is CVE-2026-105760?: Medium severity, with a CVSS score of 5.3, published 5 October 2026.
Which products and versions are affected?: vllm (PyPI) >= 0.23.0rc2, < 0.30.0, ECOSYSTEM:introduced=0.23.0rc2,fixed=0.30.0; vLLM Project vllm prior to 0.30.0.
Is there a fix for CVE-2026-105760?: Yes. vllm (PyPI): upgrade to 0.30.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-105760 attacked?: It is attacked over the network, in a software library.
Am I affected by CVE-2026-105760?: Check whether you run vllm (PyPI) or 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

vllm (PyPI): upgrade to 0.30.0 or later
```
pip install "vllm>=0.30.0"
```

Technical details

A request-level resource exhaustion vulnerability in vLLM's GLMGA video backend allows attackers to supply large fps and max_frames values via media_io_kwargs without strict resource limits. The GLMGA backend constructs a deduplicated frame-index list based on attacker input, enabling a small valid video to trigger disproportionate CPU and memory consumption in the shared media-loading executor. This is a network-accessible DoS vector in multi-tenant or shared inference scenarios.

Affected products

vLLM Project vLLM prior to 0.30.0

Identifiers

CVE-2026-105760
GHSA-58v5-2m8f-94pr
PYSEC-2026-4307

Timeline

2026-09-04: patched: Security fix merged in PR #54935 to cap GLMGA video sampling
2026-10-05: disclosed

References

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