Total
28 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-24747 | 1 Linuxfoundation | 1 Pytorch | 2026-01-30 | N/A | 8.8 HIGH |
| 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 code execution. Version 2.10.0 fixes the issue. | |||||
| CVE-2025-63396 | 1 Linuxfoundation | 1 Pytorch | 2026-01-02 | N/A | 3.3 LOW |
| 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). | |||||
| CVE-2025-32434 | 1 Linuxfoundation | 1 Pytorch | 2025-12-01 | N/A | 9.8 CRITICAL |
| 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 has been patched in version 2.6.0. | |||||
| CVE-2025-55560 | 1 Linuxfoundation | 1 Pytorch | 2025-10-14 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2025-55552 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 7.5 HIGH |
| pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. | |||||
| CVE-2025-55553 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 7.5 HIGH |
| A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). | |||||
| CVE-2025-55554 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). | |||||
| CVE-2025-55557 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 7.5 HIGH |
| 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). | |||||
| CVE-2025-55558 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 7.5 HIGH |
| 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). | |||||
| CVE-2025-46148 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | |||||
| CVE-2025-46149 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | |||||
| CVE-2025-46150 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | |||||
| CVE-2025-46152 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. | |||||
| CVE-2025-46153 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 5.3 MEDIUM |
| 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-2025-55551 | 1 Linuxfoundation | 1 Pytorch | 2025-10-03 | N/A | 7.5 HIGH |
| 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. | |||||
| CVE-2024-48063 | 1 Linuxfoundation | 1 Pytorch | 2025-07-16 | N/A | 9.8 CRITICAL |
| In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing. | |||||
| CVE-2024-31580 | 1 Linuxfoundation | 1 Pytorch | 2025-06-10 | N/A | 4.0 MEDIUM |
| PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input. | |||||
| CVE-2024-31583 | 1 Linuxfoundation | 1 Pytorch | 2025-06-10 | N/A | 7.8 HIGH |
| Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp. | |||||
| CVE-2024-31584 | 1 Linuxfoundation | 1 Pytorch | 2025-06-03 | N/A | 5.5 MEDIUM |
| Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp. | |||||
| CVE-2025-2998 | 1 Linuxfoundation | 1 Pytorch | 2025-05-29 | 4.3 MEDIUM | 5.3 MEDIUM |
| A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. 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. | |||||