3291 matches found
PyTorch DoS
The vulnerabilities of the methods torch.nn.Conv2d, torch.nn.functional.hardshrink, torch.Tensor.view, and torch.Tensor.mv in the PyTorch machine learning framework are related to uncontrolled resource consumption. Exploiting these vulnerabilities could allow a malicious actor to cause service...
EUVD-2025-33343
scio is vunerable to Remote Command Execution through PyTorch...
EUVD-2021-0212
Malware in sbrugna...
EUVD-2021-0247
Malware in sbrugna...
BIT-PYTORCH-2025-55558
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 Inductor, leading to a Denial of Service DoS...
BIT-PYTORCH-2025-55557
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...
BIT-PYTORCH-2025-55554
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nantonum-.long...
BIT-PYTORCH-2025-55553
A syntax error in the component proxytensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service DoS...
BIT-PYTORCH-2025-55552
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randnlike are used together...
BIT-PYTORCH-2025-55551
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...
BIT-PYTORCH-2025-46153
PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...
BIT-PYTORCH-2025-46152
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
BIT-PYTORCH-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
BIT-PYTORCH-2025-46149
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
BIT-PYTORCH-2025-46148
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
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pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
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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.
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