EUVD-2007-6691

Malware in sbrugna...

EUVD-2007-1801

Malware in sbrugna...

EUVD-2008-1264

Malware in sbrugna...

EUVD-2019-11116

Malware in sbrugna...

EUVD-2007-6692

Malware in sbrugna...

EUVD-2021-12239

Malware in sbrugna...

EUVD-2020-3237

Malware in sbrugna...

EUVD-2019-11132

Malware in sbrugna...

EUVD-2019-11137

Malware in sbrugna...

EUVD-2019-11160

Malware in sbrugna...

EUVD-2006-7095

Malware in sbrugna...

EUVD-2011-4285

Malware in sbrugna...

EUVD-2020-17743

Malware in sbrugna...

EUVD-2016-7935

Malware in sbrugna...

EUVD-2007-1975

Malware in sbrugna...

EUVD-2017-9044

Malware in sbrugna...

EUVD-2020-3259

Malware in sbrugna...

EUVD-2019-11102

Malware in sbrugna...

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...

BIT-PYTORCH-2025-46148

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