1634 matches found
BIT-PYTORCH-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...
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...
Vulnerability of the torch.rot90() and torch.randn_like() functions in the PyTorch machine learning framework, which can be exploited by attackers to cause service failures.
The vulnerability of the torch.rot90 and torch.randnlike functions in the PyTorch machine learning framework is related to incorrect calculations. Exploiting this vulnerability may allow a malicious actor to cause service failures...
The vulnerability of the torch.cummin interface in the PyTorch machine learning framework allows a attacker to induce a service failure.
The vulnerability of the torch.cummin interface in the PyTorch machine learning framework is related to insufficient exception handling. Exploiting this vulnerability could allow a malicious actor to cause service failures...
The vulnerability of the `torch.Tensor.random_()` method in the PyTorch machine learning framework, which allows a hacker to trigger a denial-of-service attack.
The vulnerability of the torch.Tensor.random method in the PyTorch machine learning framework is related to insufficient exception handling. Exploiting this vulnerability could allow a malicious actor to cause service failures...
The vulnerability of the torch.nan_to_num() function in the PyTorch machine learning framework allows a attacker to trigger a service failure.
The vulnerability of the torch.nantonum function in the PyTorch machine learning framework is related to integer overflow. Exploiting this vulnerability could allow a malicious actor to trigger a service failure...
The vulnerability of the `torch.Tensor.to_sparse()` and `torch.Tensor.to_dense()` methods in the PyTorch machine learning framework allows attackers to trigger a denial-of-service attack.
The vulnerability of the torch.Tensor.tosparse and torch.Tensor.todense methods in the PyTorch machine learning framework is related to uncontrolled resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures...
The vulnerability of the torch.linalg.lu() function in the PyTorch machine learning framework allows a attacker to cause a service failure.
The vulnerability of the torch.linalg.lu function in the PyTorch machine learning framework is related to unlimited resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures...
EUVD-2025-33343
scio is vunerable to Remote Command Execution through PyTorch...
EUVD-2021-0247
Malware in sbrugna...
EUVD-2021-0212
Malware in sbrugna...
BIT-PYTORCH-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...
BIT-PYTORCH-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...
BIT-PYTORCH-2025-55554
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nantonum-.long...
BIT-PYTORCH-2025-55553
A syntax error in the component proxytensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service DoS...
BIT-PYTORCH-2025-55552
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randnlike are used together...
BIT-PYTORCH-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...
BIT-PYTORCH-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...