Total
31 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2025-32434 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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-2025-2999 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 4.3 MEDIUM | 5.3 MEDIUM |
| A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used. | |||||
| CVE-2025-2998 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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. | |||||
| CVE-2025-2953 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 1.7 LOW | 3.3 LOW |
| A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects. | |||||
| CVE-2025-2149 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 1.0 LOW | 2.5 LOW |
| A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnq_Sigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zero_point leads to improper initialization. The attack needs to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used. | |||||
| CVE-2025-2148 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 5.1 MEDIUM | 5.0 MEDIUM |
| A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tuple Handler. The manipulation of the argument None leads to memory corruption. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. | |||||
| CVE-2024-48063 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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-2024-31584 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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-2024-31583 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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-2024-31580 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | 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-2022-45907 | 1 Linuxfoundation | 1 Pytorch | 2026-06-17 | N/A | 9.8 CRITICAL |
| In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. | |||||