Vulnerabilities of methods like torch.nn.Conv2d(), torch.nn.functional.hardshrink(), torch.Tensor.view(), and torch.Tensor.mv() in the PyTorch machine learning framework, which allow attackers to trigger a denial-of-service attack.

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-2025-31124

Malicious code in bioql PyPI...

DEBIAN-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...

PYSEC-2025-208

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...

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,...

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...