3291 matches found
PYSEC-2025-201
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
DEBIAN-CVE-2025-46149
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
DEBIAN-CVE-2025-46148
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
DEBIAN-CVE-2025-46152
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
PYSEC-2025-199
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
PYSEC-2025-198
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
AZL-67884 CVE-2025-46152 affecting package pytorch for versions less than 2.2.2-9
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
DEBIAN-CVE-2025-46150
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
PYSEC-2025-200
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
PYSEC-2025-202
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...
PYSEC-2025-200
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...
PYSEC-2025-198
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
azureml-designer-pytorch-modules (>=0.0.1, <=0.0.12), deberta (0.1.4) +10 more potentially affected by CVE-2025-55551 via torch (1.3.0)
torch PYPI version 1.3.0 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - azureml-designer-pytorch-modules =0.0.1, =0.0.3, =1.3.0, =0.1.0, =0.1.0, =0.2.0a2, =0.1.0, =0.1.1 Source cves: CVE-2025-55551 Source advisory:...
lightwood (>=0.6.6, <=0.6.7), pytorch-tabnet (>=0.1.0, <=0.1.2) +1 more potentially affected by CVE-2025-55551 via torch (1.0.1)
torch PYPI version 1.0.1 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - lightwood =0.6.6, =0.1.0, =0.1.2 - syft 0.1.13a1 Source cves: CVE-2025-55551 Source advisory: OSV:PYSEC-2025-203...
CVE-2025-46149
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...
CVE-2025-46148
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...
CVE-2025-46152
In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...
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...