CVE search
Every published CVE plus open-source advisories (NVD, OSV, GitHub), with CVSS, EPSS and whether it is being exploited in the wild (CISA KEV). Updated every few hours. Our scans match these against the technologies they detect.
Every published CVE plus open-source advisories (NVD, OSV, GitHub), with CVSS, EPSS and whether it is being exploited in the wild (CISA KEV). Updated every few hours. Our scans match these against the technologies they detect.
| 12/11/2025 |
| CVE-2025-55560 | 높음7.5 | 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 | 높음7.5 | 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 | 높음7.5 | 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 | 보통5.3 | 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 | 높음7.5 | 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 | 높음7.5 | 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 | 높음7.5 | 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 | 보통5.3 | 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 | 보통5.3 | 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 | 보통5.3 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | 25/09/2025 |
| CVE-2025-46149 | 보통5.3 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | 25/09/2025 |
| CVE-2025-46148 | 보통5.3 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | 25/09/2025 |
| CVE-2025-32434 | 심각9.8 | 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 | 보통5.5 | 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 | 낮음3.3 | 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 | 보통5.5 | 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 | 보통5.3 | 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 |