Описание
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnq_Sigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zero_point leads to improper initialization. The attack needs to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used.
Ссылки
- Issue Tracking
- Issue Tracking
- Permissions RequiredVDB Entry
- Third Party AdvisoryVDB Entry
- ExploitThird Party AdvisoryVDB Entry
- Issue Tracking
- Issue Tracking
Уязвимые конфигурации
EPSS
2.5 Low
CVSS3
1 Low
CVSS2
Дефекты
Связанные уязвимости
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnq_Sigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zero_point leads to improper initialization. The attack needs to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used.
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as ...
A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnq_Sigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zero_point leads to improper initialization. The attack needs to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used.
Уязвимость функции nnq_Sigmoid() модуля Quantized Sigmoid Module фреймворка машинного обучения PyTorch, позволяющая нарушителю оказать воздействие на целостность защищаемой информации
EPSS
2.5 Low
CVSS3
1 Low
CVSS2