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EUVD
EUVD
•added 2025/10/03 8:07 p.m.•10 views

EUVD-2025-31108

Malicious code in bioql PyPI...

5.3CVSS6.3AI score0.00419EPSS
SaveExploits0References6
Snyk
Snyk
•added 2025/09/25 2:44 p.m.•8 views

Inefficient CPU Computation

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Inefficient CPU Computation due to inconsistent behavior in the bernoullip function when used in RNG nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d. An...

5.3CVSS6.9AI score0.00419EPSS
SaveExploits0References2
Snyk
Snyk
•added 2025/09/25 2:44 p.m.•3 views

Inefficient CPU Computation

Overview Affected versions of this package are vulnerable to Inefficient CPU Computation due to inconsistent behavior in the bernoullip function when used in RNG nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d. An attacker can cause unintended or incorrect dropout behavior in neural network layers b...

5.3CVSS7AI score0.00419EPSS
SaveExploits0References2
CVE
CVE
•added 2025/09/25 12:00 a.m.•49 views

CVE-2025-46153

The PyTorch machine learning framework (versions before 3.7.0 ) contains a security vulnerability in the bernoulli_p function within decompositions.py. The root cause is an inconsistency between this decomposition function and the eager CPU implementation, which negatively impacts nn.Dropout1d, n...

6.6AI score0.00419EPSS
SaveExploits0References5Affected Software1
Vulnrichment
Vulnrichment
•added 2025/09/25 12:00 a.m.•6 views

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...

6.6AI score0.00419EPSS
SaveExploits0References5
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