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Description

vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.

Severity

CVSS 3.1 · CNA9.8 CRITICAL
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC · CISA-ADP
Exploitationnone
Automatableyes
Technical impacttotal

Affected Products

VendorProductAffected versions
vllm-projectvllm
>= 0.8.3, < 0.14.1

Related Tool Categories

Tool categories that test for or protect against this vulnerability class.

CWE-532 · Sensitive Information in Log Files

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