EUVD-2025-31108

Malicious code in bioql PyPI...

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...

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...

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...

CVE-2025-46153

CVE-2025-46153 affects PyTorch before 3.7.0, where a bernoulli_p decompos e function in decompositions.py is not fully consistent with the eager CPU implementation. This inconsistency negatively affects nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d when fallback_random=True. Connected documents pr...