Количество 6
Количество 6
CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decomposi ...
GHSA-h36m-9qjr-pv93
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
BDU:2025-13134
Уязвимость функции bernoulli_p decompose() фреймворка машинного обучения PyTorch, позволяющая нарушителю оказать воздействие на конфиденциальность защищаемой информации
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
 | CVE-2025-46153 PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True. | CVSS3: 5.3 | 0% Низкий | около 2 месяцев назад |
 | CVE-2025-46153 PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True. | CVSS3: 5.3 | 0% Низкий | около 2 месяцев назад |
 | CVE-2025-46153 PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True. | 0% Низкий | около 1 месяца назад | |
| CVE-2025-46153 PyTorch before 3.7.0 has a bernoulli_p decompose function in decomposi ... | CVSS3: 5.3 | 0% Низкий | около 2 месяцев назад |
| GHSA-h36m-9qjr-pv93 PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True. | CVSS3: 5.3 | 0% Низкий | около 2 месяцев назад |
 | BDU:2025-13134 Уязвимость функции bernoulli_p decompose() фреймворка машинного обучения PyTorch, позволяющая нарушителю оказать воздействие на конфиденциальность защищаемой информации | CVSS3: 5.3 | 0% Низкий | 11 месяцев назад |
Уязвимостей на страницу