Описание
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
Ссылки
- Patch
- ExploitThird Party Advisory
- Third Party Advisory
Уязвимые конфигурации
EPSS
7.5 High
CVSS3
Дефекты
Связанные уязвимости
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.
vLLM is an inference and serving engine for large language models (LLM ...
vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution
EPSS
7.5 High
CVSS3