1188 matches found
PT-2025-39381
Name of the Vulnerable Software and Affected Versions PyTorch versions prior to 2.7.0 Description When torch.compile is used, the FractionalMaxPool2d function exhibits inconsistent results. This issue affects the accuracy of computations involving this specific function within the PyTorch...
CVE-2025-46149
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
CVE-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...
CVE-2025-55552
CVE-2025-55552 concerns PyTorch v2.8.0 exhibiting unexpected behavior when using torch.rot90 and torch.randn_like together. The primary sources state the issue exists in PyTorch 2.8.0 and provide no explicit remediation in the initial description. Some connected advisories note that patched versi...
CVE-2025-46148
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
CVE-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...
PT-2025-39379
Name of the Vulnerable Software and Affected Versions PyTorch versions through 2.6.0 Description When eager mode is used, the nn.PairwiseDistancep=2 function in PyTorch produces incorrect results. The p parameter in the nn.PairwiseDistance function determines the distance metric. A value of 2...
PT-2025-39415
Name of the Vulnerable Software and Affected Versions pytorch version 2.7.0 Description A Name Error occurs when a PyTorch model includes torch.cummin and is compiled by Inductor, resulting in a Denial of Service DoS. The issue involves a naming conflict during the compilation process, leading to...
CVE-2025-46152
CVE-2025-46152 affects PyTorch where bitwise_right_shift can produce incorrect output for certain out-of-bounds values of the OTHER argument. Affected versions include PyTorch before 2.7.0; a patched version is available. The connected Mariner data notes PyTorch packages less than 2.2.2-9 are aff...
CVE-2025-46152
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
CVE-2025-46152
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
PyTorch 安全漏洞
PyTorch is a Python package open-sourced by PyTorch. PyTorch= suffers from a buffer overflow vulnerability that stems from a boundary error in the PyTorch model compilation when handling untrusted input, which can be exploited by an attacker to cause a denial of service...
PyTorch 安全漏洞
PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a security vulnerability that stems from unexpected behavior when the torch.rot90 and torch.randnlike components are used together, no details of the vulnerability are provided at this time...
CVE-2025-55560
CVE-2025-55560 affects PyTorch where a model using torch.Tensor.to_sparse() and torch.Tensor.to_dense() compiled by Inductor can cause a DoS. Connected advisories specify affected package versions: PyTorch < 2.0.0-11 and PyTorch
PyTorch 安全漏洞
PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from an information disclosure vulnerability that stems from FractionalMaxPool2d producing inconsistent results when using torch.compile, no details of the vulnerability are provided at this time...
CVE-2025-46149
CVE-2025-46149 is linked to PyTorch, affecting versions before 2.7.0. When using inductor, nn.Fold triggers an assertion error, per the IBM security bulletin listing this CVE among multiple PyTorch-related issues. The IBM entry provides the concrete detail that the vulnerability manifests as an a...
CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
CVE-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...