PY
Product
Pytorch
31
CVEs
0
On KEV
9.8
Max CVSS
0
New 30D
Severity mix
Critical 3High 10Medium 15Low 3
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| CVE | CVSS | Published | Summary · affected versions |
|---|---|---|---|
| CVE-2025-3730 | 5.5 | Apr 16 | A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2025-3121 | 5.5 | Apr 2 | A vulnerability classified as problematic has been found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2025-2953 | 5.5 | Mar 30 | A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124 Affected: 2.6.0+cu124 |
| CVE-2024-31584 | 5.5 | Apr 19 | Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp Affected: before 2.2.0 |
| CVE-2025-55554 | 5.3 | Sep 25 | pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long() Affected: through 2.8.0 |
| CVE-2025-46153 | 5.3 | Sep 25 | PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting… Affected: 2.6.0 before 2.7.0 |
| CVE-2025-46152 | 5.3 | Sep 25 | In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument Affected: 2.6.0 before 2.7.0 |
| CVE-2025-46150 | 5.3 | Sep 25 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results Affected: 2.6.0 before 2.7.0 |
| CVE-2025-46149 | 5.3 | Sep 25 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error Affected: 2.6.0 before 2.7.0 |
| CVE-2025-46148 | 5.3 | Sep 25 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results Affected: through 2.6.0 |
| CVE-2025-3001 | 5.3 | Mar 31 | A vulnerability classified as critical was found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2025-3000 | 5.3 | Mar 31 | A vulnerability classified as critical has been found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2025-2999 | 5.3 | Mar 31 | A vulnerability was found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2025-2998 | 5.3 | Mar 31 | A vulnerability was found in PyTorch 2.6.0 Affected: 2.6.0 |
| CVE-2024-31580 | 4.0 | Apr 17 | PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp Affected: before 2.2.0 |
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