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EUVD•added 2025/10/07 12:30 a.m.•12 views

EUVD-2019-11102

Malware in sbrugna...

9.8CVSS9.2AI score0.00446EPSS

SaveExploits0References2

EUVD•added 2025/10/07 12:30 a.m.•8 views

EUVD-2021-12239

Malware in sbrugna...

4CVSS4.5AI score0.00216EPSS

SaveExploits0References3

EUVD•added 2025/10/07 12:30 a.m.•10 views

EUVD-2011-4285

Malware in sbrugna...

5.8CVSS6.1AI score0.04044EPSS

SaveExploits0References11

EUVD•added 2025/10/07 12:30 a.m.•11 views

EUVD-2019-11132

Malware in sbrugna...

7.8CVSS7.6AI score0.00166EPSS

SaveExploits0References2

EUVD•added 2025/10/07 12:30 a.m.•15 views

EUVD-2020-17743

Malware in sbrugna...

7.5CVSS7.6AI score0.00431EPSS

SaveExploits0References2

EUVD•added 2025/10/07 12:30 a.m.•7 views

EUVD-2019-11137

Malware in sbrugna...

9.1CVSS9AI score0.00253EPSS

SaveExploits0References2

OSV•added 2025/10/05 11:47 p.m.•5 views

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...

5.3CVSS7AI score0.00391EPSS

SaveExploits0References6

OSV•added 2025/10/05 11:47 p.m.•10 views

BIT-PYTORCH-2025-46148

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

5.3CVSS7AI score0.00377EPSS

SaveExploits0References5

EUVD•added 2025/10/03 8:7 p.m.•8 views

EUVD-2025-30880