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I. Basic Information for CVE-2026-34755
Vulnerability Information

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Vulnerability Title
vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing
Source: NVD (National Vulnerability Database)
Vulnerability Description
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.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
不加限制或调节的资源分配
Source: NVD (National Vulnerability Database)
Vulnerability Title
vLLM 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
vLLM是vLLM开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.7.0至0.19.0之前版本存在安全漏洞,该漏洞源于VideoMediaIO.load_base64方法未强制帧数限制,可能导致内存耗尽和服务器崩溃。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
VendorProductAffected VersionsCPESubscribe
vllm-projectvllm >= 0.7.0, < 0.19.0 -
II. Public POCs for CVE-2026-34755
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III. Intelligence Information for CVE-2026-34755
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