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CVE-2025-24357

Опубликовано: 27 янв. 2025
Источник: nvd
CVSS3: 7.5
CVSS3: 8.8
EPSS Низкий

Описание

vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.

Уязвимые конфигурации

Конфигурация 1
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*
Версия до 0.7.0 (исключая)

EPSS

Процентиль: 50%
0.00697
Низкий

7.5 High

CVSS3

8.8 High

CVSS3

Дефекты

CWE-502

Связанные уязвимости

CVSS3: 7.5
redhat
больше 1 года назад

vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.

CVSS3: 7.5
debian
больше 1 года назад

vLLM is a library for LLM inference and serving. vllm/model_executor/w ...

CVSS3: 7.5
github
больше 1 года назад

vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator

EPSS

Процентиль: 50%
0.00697
Низкий

7.5 High

CVSS3

8.8 High

CVSS3

Дефекты

CWE-502