Описание
vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0.
EPSS
Процентиль: 14%
0.00044
Низкий
6.5 Medium
CVSS3
Дефекты
CWE-770
Связанные уязвимости
CVSS3: 6.5
debian
10 дней назад
vLLM is an inference and serving engine for large language models (LLM ...
CVSS3: 6.5
github
6 дней назад
vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
EPSS
Процентиль: 14%
0.00044
Низкий
6.5 Medium
CVSS3
Дефекты
CWE-770