| CVE-2026-4538 | CAO7.8 | A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the p | 22/03/2026 |
| CVE-2026-24747 | CAO8.8 | PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary | 27/01/2026 |
| CVE-2025-63396 | THẤP3.3 | An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS). | 12/11/2025 |
| CVE-2025-55560 | CAO7.5 | 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 | CAO7.5 | 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 | CAO7.5 | 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 | TRUNG BÌNH5.3 | 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 | CAO7.5 | 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 | CAO7.5 | 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 | CAO7.5 | 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 | TRUNG BÌNH5.3 | 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 | TRUNG BÌNH5.3 | 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 | TRUNG BÌNH5.3 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | 25/09/2025 |
| CVE-2025-46149 | TRUNG BÌNH5.3 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | 25/09/2025 |
| CVE-2025-46148 | TRUNG BÌNH5.3 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | 25/09/2025 |
| CVE-2025-32434 | NGHIÊM TRỌNG9.8 | 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 | TRUNG BÌNH5.5 | 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 | THẤP3.3 | 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 | TRUNG BÌNH5.5 | 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 | TRUNG BÌNH5.3 | 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 |