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 PyTorch <=2.4.1, the RemoteModule has Deserialization RCE

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely

PyTorch is a Python package that provides tensor computation

A vulnerability was identified in PyTorch 2.10.0

Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp

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 compiled by Inductor

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() and is compiled by…

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)

A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS)

pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together

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

A vulnerability was found in PyTorch 2.6.0+cu124

A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0

A vulnerability classified as problematic has been found in PyTorch 2.6.0

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124

Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp

pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long()

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, negatively affecting…

In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument

In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results

In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results

A vulnerability classified as critical was found in PyTorch 2.6.0

A vulnerability classified as critical has been found in PyTorch 2.6.0

A vulnerability was found in PyTorch 2.6.0

A vulnerability was found in PyTorch 2.6.0

PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp

An issue was discovered in PyTorch v2.5 and v2.7.1

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0

A vulnerability was found in PyTorch 2.6.0+cu124