1331 matches found
CVE-2025-55554
The PyTorch machine learning framework version 2.8.0 contains an integer overflow vulnerability in the torch.nan_to_num-.long() component. Exploiting this vulnerability could allow a malicious actor to trigger a service failure . No specific remediation or patch version is provided in the documen...
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-2025-55553
A syntax error in the component proxytensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service DoS...
CVE-2025-55557
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-2025-55560
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-2025-55551
An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service DoS when performing a slice operation...
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-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
CVE-2025-46149: Reachable Assertion
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
CVE-2025-46148: Undefined Security Weakness
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
CVE-2025-55558: Uncontrolled Resource Consumption
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: Uncontrolled Resource Consumption
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-2025-46153: Inefficient CPU Computation
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-2025-55558
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...
PyTorch 安全漏洞
PyTorch is a Python package open-sourced by PyTorch. PyTorch has a security vulnerability that stems from a syntax error in the component proxytensor.py, which can be exploited by an attacker to cause a denial of service...
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...
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...