16 matches found
BIT-PYTORCH-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
EUVD-2025-31110
Malicious code in bioql PyPI...
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
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Linux Distros Unpatched Vulnerability : CVE-2025-46150
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. CVE-2025-46150 Note that Nessus relies on the presence of the...
PyTorch Information Disclosure Vulnerability
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...
PYSEC-2025-200
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
DEBIAN-CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
UBUNTU-CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
Use of Out-of-range Pointer Offset
Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Use of Out-of-range Pointer Offset via the fractionalmaxpool function in torch.nn.FractionalMaxPool2d component when used with torch.compile. An...
Use of Out-of-range Pointer Offset
Overview Affected versions of this package are vulnerable to Use of Out-of-range Pointer Offset via the fractionalmaxpool function in torch.nn.FractionalMaxPool2d component when used with torch.compile. An attacker can cause inconsistent computational results by exploiting this behavior,...
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-2025-46150
CVE-2025-46150 is referenced in connected IBM bulletin as affecting PyTorch: prior to 2.7.0, using torch.compile can cause FractionalMaxPool2d to produce inconsistent results. The IBM document lists the CVE entry and its description but provides no technical details on root cause, vulnerable vers...
CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...