Количество 4
Количество 4
CVE-2025-3121
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
CVE-2025-3121
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
CVE-2025-3121
A vulnerability classified as problematic has been found in PyTorch 2. ...
GHSA-qcc7-ch57-rh8j
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
 | CVE-2025-3121 A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. | CVSS3: 3.3 | 0% Низкий | 10 месяцев назад |
 | CVE-2025-3121 A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. | CVSS3: 3.3 | 0% Низкий | 10 месяцев назад |
| CVE-2025-3121 A vulnerability classified as problematic has been found in PyTorch 2. ... | CVSS3: 3.3 | 0% Низкий | 10 месяцев назад |
| GHSA-qcc7-ch57-rh8j A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. | CVSS3: 3.3 | 0% Низкий | 10 месяцев назад |
Уязвимостей на страницу