6.5

CVSS Score

3.1

-

CVSS Score

Basic Information

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CVE-2026-34755

CVE-2026-34755: vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing

vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The num_frames parameter (default: 32), which is enforced by the load_bytes() code path, is completely bypassed in the video/jpeg base64 path. An attacker can send a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory and crash with OOM. This vulnerability is fixed in 0.19.0.

(GitHub Advisory)

Miggo Vulnerability Database

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CVE-2026-34755

CVE-2026-34755:

6.5

CVSS Score

3.1

-

CVSS Score

Basic Information

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Technical Details

SSVC / BOD 26-04 ↗

Exploitation NoneAutomatable NoTech Impact Partial

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Package Name	Ecosystem	Vulnerable Versions	First Patched Version
vllm	pip	>= 0.7.0, < 0.19.0	0.19.0

Technical Details

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Root Cause Analysis

The vulnerability lies in the VideoMediaIO.load_base64 function in vllm/multimodal/media/video.py. The function is responsible for loading video data from a base64 encoded string. Specifically for the video/jpeg MIME type, which is a custom format for vLLM representing a sequence of JPEG frames, the function splits the input string by commas to get individual frames. The original implementation performed this split without any limit, meaning an attacker could craft a request with thousands of frames. This would cause the server to decode every frame, consuming a large amount of memory and leading to a Denial of Service through an Out-Of-Memory (OOM) crash. The provided commit patch confirms this by introducing a limit to the number of frames processed, using the self.num_frames value to restrict the split operation. The change from data.split(",") to a conditional split based on self.num_frames is the direct mitigation for this vulnerability.

Vulnerable functions

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WAF Protection Rules

WAF Rule

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Reasoning

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