Is CVE-2026-34755 exploited in the wild?

No. Junglewise Threat Intelligence has no report of CVE-2026-34755 being exploited in the wild.

How severe is CVE-2026-34755?

Medium severity, with a CVSS score of 6.5, published 6 April 2026.

Which products and versions are affected?

vllm (PyPI) ECOSYSTEM:introduced=0.7.0,fixed=0.19.0; Red Hat AI Inference Server 3.

Is there a fix for CVE-2026-34755?

Yes. vllm (PyPI): upgrade to 0.19.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

How is CVE-2026-34755 attacked?

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

Am I affected by CVE-2026-34755?

Check whether you run vllm (PyPI), Red Hat AI Inference Server or 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-2026-34755: vLLM denial of service via unbounded video frame processing

CVE-2026-34755 · Severity: medium · CVSS 6.5 · Published 2026-04-06

vLLM is a high-performance engine used to serve Large Language Models (LLMs) to users and applications. A vulnerability in how it processes video data allows an attacker to send a specially crafted request that consumes all available server memory. This can lead to a complete service crash, resulting in a denial of service for all users of the AI platform.

Technologies: vllm (PyPI), Red Hat AI Inference Server, Vllm. Vendors: PyPI, Red Hat, Vllm.

Quick answers

Is CVE-2026-34755 exploited in the wild?: No. Junglewise Threat Intelligence has no report of CVE-2026-34755 being exploited in the wild.
How severe is CVE-2026-34755?: Medium severity, with a CVSS score of 6.5, published 6 April 2026.
Which products and versions are affected?: vllm (PyPI) ECOSYSTEM:introduced=0.7.0,fixed=0.19.0; Red Hat AI Inference Server 3.
Is there a fix for CVE-2026-34755?: Yes. vllm (PyPI): upgrade to 0.19.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-34755 attacked?: It is attacked over the network, in a software library.
Am I affected by CVE-2026-34755?: Check whether you run vllm (PyPI), Red Hat AI Inference Server or 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 0.19.0 or later
```
pip install "vllm>=0.19.0"
```

Technical details

The vulnerability exists in the VideoMediaIO.load_base64() method within vllm/multimodal/media/video.py. While the load_bytes() path correctly enforces a 'num_frames' limit (default 32), the load_base64() path for 'video/jpeg' MIME types uses an unbounded split operation on comma-separated data URLs. An attacker with network access and low privileges can submit a single API request containing thousands of base64-encoded JPEG frames. Each frame is decoded into a full numpy array in memory, leading to rapid memory exhaustion (OOM) and a process crash. This issue is tracked as CWE-770 and is resolved in version 0.19.0.

Affected products

vllm-project vLLM >= 0.7.0, < 0.19.0
Red Hat Red Hat AI Inference Server 3
Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3 3
Red Hat Red Hat OpenShift AI (RHOAI)

Identifiers

CVE-2026-34755
GHSA-pq5c-rjhq-qp7p
PYSEC-2026-144

Timeline

2026-04-03: advisory: GitHub Security Advisory published
2026-04-06: disclosed: CVE-2026-34755 published to NVD
2026-04-06: patched: Fix released in version 0.19.0

References

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