CVE-2025-55552: Integer Overflow or Wraparound

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

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a security vulnerability that stems from mishandling when compiling models containing torch.Tensor.tosparse and torch.Tensor.todense, which can be exploited by an attacker to cause a denial of service...

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-2025-55560

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...

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...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. An integer overflow vulnerability exists in the PyTorch torch.nantonum-.long component, no details of the vulnerability are available at this time...

CVE-2025-55557

CVE-2025-55557 : A NameError occurs in PyTorch v2.7.0 when a model uses torch.cummin and is compiled by Inductor, leading to a Denial of Service. The initial description provides the affected components and the root cause, but no public remediation or exploitation details are documented in the su...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch has a security vulnerability that stems from an assertion error in nn.Fold when using inductor, no details of the vulnerability are provided at this time...

PT-2025-39380

Name of the Vulnerable Software and Affected Versions PyTorch versions prior to 2.7.0 Description When inductor is used, nn.Fold experiences an assertion error. Recommendations Update to version 2.7.0 or later...

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...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a security vulnerability that stems from a name error when compiling a model containing torch.cummin using Inductor, 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. An unspecified vulnerability exists in the PyTorch torch.linalg.lu component, which can be exploited by an attacker to cause a denial of service...

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-2025-46149

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

CVE-2025-46148

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

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-2025-46150

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-2025-55560

CVE-2025-55560 affects PyTorch where a model using torch.Tensor.to_sparse() and torch.Tensor.to_dense() compiled by Inductor can cause a DoS. Connected advisories specify affected package versions: PyTorch < 2.0.0-11 and PyTorch

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...