CVE 検索
公開されているすべての CVE とオープンソースのセキュリティアドバイザリ(NVD、OSV、GitHub)を、CVSS、EPSS、実際に悪用されているか(CISA KEV)とともに掲載しています。数時間ごとに更新されます。スキャンでは、検出した技術とこれらを照合します。
公開されているすべての CVE とオープンソースのセキュリティアドバイザリ(NVD、OSV、GitHub)を、CVSS、EPSS、実際に悪用されているか(CISA KEV)とともに掲載しています。数時間ごとに更新されます。スキャンでは、検出した技術とこれらを照合します。
| 12/11/2025 |
| CVE-2025-55560 | 高7.5 | An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor. | 25/09/2025 |
| CVE-2025-55558 | 高7.5 | A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS). | 25/09/2025 |
| CVE-2025-55557 | 高7.5 | A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS). | 25/09/2025 |
| CVE-2025-55554 | 中5.3 | pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). | 25/09/2025 |
| CVE-2025-55553 | 高7.5 | A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). | 25/09/2025 |
| CVE-2025-55552 | 高7.5 | pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. | 25/09/2025 |
| CVE-2025-55551 | 高7.5 | An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation. | 25/09/2025 |
| CVE-2025-46153 | 中5.3 | 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. | 25/09/2025 |
| CVE-2025-46152 | 中5.3 | In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. | 25/09/2025 |
| CVE-2025-46150 | 中5.3 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | 25/09/2025 |
| CVE-2025-46149 | 中5.3 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | 25/09/2025 |
| CVE-2025-46148 | 中5.3 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | 25/09/2025 |
| CVE-2025-32434 | 緊急9.8 | PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue | 18/04/2025 |
| CVE-2025-3730 | 中5.5 | A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may | 16/04/2025 |
| CVE-2025-3136 | 低3.3 | A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been discl | 03/04/2025 |
| CVE-2025-3121 | 中5.5 | 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. | 02/04/2025 |
| CVE-2025-3001 | 中5.3 | A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used. | 31/03/2025 |