EUVD-2025-31109

Malicious code in bioql PyPI...

EUVD-2025-31133

Malicious code in bioql PyPI...

EUVD-2025-31131

Malicious code in bioql PyPI...

EUVD-2025-31127

Malicious code in bioql PyPI...

EUVD-2025-9636

Malicious code in bioql PyPI...

EUVD-2025-6954

Malicious code in bioql PyPI...

EUVD-2025-11538

Malicious code in bioql PyPI...

EUVD-2025-11856

Malicious code in bioql PyPI...

EUVD-2025-8856

Malicious code in bioql PyPI...

EUVD-2025-13418

Malicious code in bioql PyPI...

EUVD-2025-6932

Malicious code in bioql PyPI...

EUVD-2024-2191

Malicious code in bioql PyPI...

EUVD-2022-0222

Malicious code in bioql PyPI...

EUVD-2024-1105

Malicious code in bioql PyPI...

An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.

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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).

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

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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).

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

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PyTorch before 3.7.0 has a bernoulli_p 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 fallback_random=True.

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