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...

PT-2025-39416

Name of the Vulnerable Software and Affected Versions pytorch version 2.7.0 Description A buffer overflow can occur when a PyTorch model includes torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and is compiled using Inductor. This can lead to a Denial of Service Do...

CVE-2025-46149

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

CVE-2025-46150

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

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-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

CVE-2025-46152

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

CVE-2025-55554

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

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...

CVE-2025-55560

An issue in pytorch v2.7.0 can lead to a Denial of Service DoS when a PyTorch model consists of torch.Tensor.tosparse and torch.Tensor.todense and is compiled by Inductor...

CVE-2025-46152

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

CVE-2025-46150

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

CVE-2025-46149

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

Stack-based Buffer Overflow

Overview Affected versions of this package are vulnerable to Stack-based Buffer Overflow due to a regression in functorchmamlomniglot function in TorchBench. An attacker can cause a denial of service by triggering a buffer overflow when a PyTorch model consists of torch.nn.Conv2d,...

Reachable Assertion

Overview Affected versions of this package are vulnerable to Reachable Assertion when the model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and compiled with Inductor. An attacker can cause the application to become unresponsive or crash by providin...

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...

CVE-2025-55552

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

CVE-2025-55553

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

CVE-2025-55553

CVE-2025-55553 is described across sources as a DoS vulnerability in PyTorch v2.7.0 caused by a syntax error in the proxy_tensor.py component. The linked documents (NVD/NIST entry and IBM watsonx bulletin listing this CVE among PyTorch-related issues) confirm the affected product and the basic fl...

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...