pkg:Debian/pytorch
共 34 筆 CVECRITICAL4HIGH11MEDIUM8LOW3
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所有已知漏洞
- CRITICAL9.8CVE-2025-32434PyTorch: `torch.load` with `weights_only=True` leads to remote code executionfrom 0, < 1.7.1-7+deb11u1
- CRITICAL9.8CVE-2025-32434PyTorch: `torch.load` with `weights_only=True` leads to remote code executionfrom 0, < 1.7.1-7+deb11u1
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- HIGH7.5CVE-2025-55560An 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…from 0
- HIGH7.5CVE-2025-55558A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tens…from 0
- HIGH7.5CVE-2025-55557A 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 Ser…from 0
- HIGH7.5CVE-2025-55553A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).from 0
- HIGH7.5CVE-2025-55552pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.from 0
- HIGH7.5CVE-2025-55551An 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 ope…from 0
- HIGH7.5CVE-2025-2148PyTorch Tuple torch.ops.profiler._call_end_callbacks_on_jit_fut memory corruptionfrom 0
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- MEDIUM5.5CVE-2024-31584Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp.from 0
- MEDIUM5.3CVE-2025-55554pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().from 0
- MEDIUM5.3CVE-2025-46153PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU imp…from 0
- MEDIUM5.3CVE-2025-46152In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.from 0
- MEDIUM5.3CVE-2025-46150In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.from 0
- MEDIUM5.3CVE-2025-46149In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.from 0
- MEDIUM5.3CVE-2025-46148In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.from 0
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- —CVE-2025-3136PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruptionfrom 0
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- —CVE-2024-5480A vulnerability in the PyTorch's torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution…from 0