PT-2025-41075

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A reference leak exists in the Linux kernel’s platform/x86/dell-sysman component. When a duplicate attribute is found using the kset find obj function, a reference to that attribute is...

Server-side Request Forgery

astrojs/cloudflare is vulnerable to Server-side Request Forgery. The vulnerability is due to insufficient URL validation in the generated image optimization endpoint when the adapter is used with output: 'server' and the default imageService: 'compile', an attacker can exploit this to have the...

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...

EUVD-2024-44548

Malicious code in bioql PyPI...

EUVD-2025-26878

Malicious code in bioql PyPI...

EUVD-2025-31976

Malicious code in bioql PyPI...

EUVD-2025-28951

Malicious code in bioql PyPI...

EUVD-2022-4945

Malicious code in bioql PyPI...

EUVD-2024-44547

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...

DEBIAN-CVE-2025-46150

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

PYSEC-2025-200

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 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,...

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...

CVE-2025-46150

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

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...