Linuxfoundation Pytorch
31 CVEs affecting Linuxfoundation Pytorch. Latest disclosed: 2026-03-22. Critical: 3, High: 8.
| CVE | Severity | Score | Published | Summary |
|---|---|---|---|---|
CVE-2025-32434 | Critical | 9.8 | 2025-04-18 | 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 ve… |
CVE-2024-48063 | Critical | 9.8 | 2024-10-29 | In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distribut… |
CVE-2022-45907 | Critical | 9.8 | 2022-11-26 | In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. |
CVE-2026-24747 | High | 8.8 | 2026-01-27 | 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… |
CVE-2024-31583 | High | 7.8 | 2024-04-17 | Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp. |
CVE-2025-55560 | High | 7.5 | 2025-09-25 | 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 c… |
CVE-2025-55558 | High | 7.5 | 2025-09-25 | 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() a… |
CVE-2025-55557 | High | 7.5 | 2025-09-25 | 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-2025-55553 | High | 7.5 | 2025-09-25 | A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). |
CVE-2025-55552 | High | 7.5 | 2025-09-25 | pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. |
CVE-2025-55551 | High | 7.5 | 2025-09-25 | 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-2024-31584 | Medium | 5.5 | 2024-04-19 | Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp. |
CVE-2026-4538 | Medium | 5.3 | 2026-03-22 | 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 d… |
CVE-2025-55554 | Medium | 5.3 | 2025-09-25 | pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). |
CVE-2025-46153 | Medium | 5.3 | 2025-09-25 | 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, negativ… |
CVE-2025-46152 | Medium | 5.3 | 2025-09-25 | In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. |
CVE-2025-46150 | Medium | 5.3 | 2025-09-25 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. |
CVE-2025-46149 | Medium | 5.3 | 2025-09-25 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. |
CVE-2025-46148 | Medium | 5.3 | 2025-09-25 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. |
CVE-2025-3001 | Medium | 5.3 | 2025-03-31 | 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 co… |