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OpenAdvisories

Package · Debian

pytorch

33 known vulnerabilities.

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  • Low 3.3

    An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (Pytho…

  • Low 3.3

    PyTorch nccl.py torch.cuda.nccl.reduce denial of service

    A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function torch.cuda.nccl.reduce of the file torch/cuda/nccl.py. The manipulation leads to denial of service. It is possible to launch the attack …

  • Low 3.3

    PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service

    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 l…

  • Low 3.3

    PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption

    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 at…

  • Low 3.3

    PyTorch torch.jit.jit_module_from_flatbuffer memory corruption

    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 discl…

  • Low 3.3

    PyTorch torch.mkldnn_max_pool2d denial of service

    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 b…

  • Low 2.5

    PyTorch Quantized Sigmoid Module nnq_Sigmoid initialization

    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 initializatio…