PyTorch
12 vulnérabilités publiées citent ce produit.
Tel que les CNA l’écrivent dans leurs fiches CVE (éditeur et produit) ; les versions sont les leurs.
| CVE | Versions vulnérables | Titre | Sévérité | Publiée | EPSS | Exploitation |
|---|---|---|---|---|---|---|
| CVE-2026-4538 | 2.10.0 | PyTorch pt2 Loading deserialization | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-4287 | 2.6.0+cu124 | PyTorch nccl.py torch.cuda.nccl.reduce denial of service | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-3730 | 2.6.0 | PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service | MEDIUM 4.8 | 0.3 % | ||
| CVE-2025-3136 | 2.6.0 | PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption | MEDIUM 4.8 | 0.3 % | ||
| CVE-2025-3121 | 2.6.0 | PyTorch torch.jit.jit_module_from_flatbuffer memory corruption | MEDIUM 4.8 | 0.3 % | ||
| CVE-2025-3001 | 2.6.0 | PyTorch torch.lstm_cell memory corruption | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-3000 | 2.6.0 | PyTorch torch.jit.script memory corruption | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-2999 | 2.6.0 | PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-2998 | 2.6.0 | PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption | MEDIUM 4.8 | 0.2 % | ||
| CVE-2025-2953 | 2.6.0+cu124 | PyTorch torch.mkldnn_max_pool2d denial of service | MEDIUM 4.8 | 0.3 % | ||
| CVE-2025-2149 | 2.6.0+cu124 | PyTorch Quantized Sigmoid Module nnq_Sigmoid initialization | LOW 2.0 | 0.3 % | ||
| CVE-2025-2148 | 2.6.0+cu124 | PyTorch Tuple torch.ops.profiler._call_end_callbacks_on_jit_fut memory corruption | LOW 2.3 | 0.4 % |