Filtered by vendor Linuxfoundation Subscriptions
Filtered by product Pytorch Subscriptions
Total 25 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2025-3136 1 Linuxfoundation 1 Pytorch 2025-05-28 3.3 Low
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 disclosed to the public and may be used.
CVE-2025-32434 1 Linuxfoundation 1 Pytorch 2025-05-28 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-2025-3121 1 Linuxfoundation 1 Pytorch 2025-05-27 3.3 Low
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.
CVE-2022-45907 1 Linuxfoundation 1 Pytorch 2025-04-25 9.8 Critical
In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.
CVE-2025-2953 1 Linuxfoundation 1 Pytorch 2025-04-22 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.