Pytorch
Source repositories
CVEs (31)
| CVE | Vendor / Product | Sev | Risk | CVSS | EPSS | KEV | Published | Description |
|---|---|---|---|---|---|---|---|---|
| CVE-2024-48063 | Cri | 0.64 | 9.8 | 0.02 | Oct 29, 2024 | In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing. | ||
| CVE-2025-32434 | Cri | 0.57 | 9.8 | 0.02 | Apr 18, 2025 | PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using… | ||
| CVE-2022-45907 | Cri | 0.57 | 9.8 | 0.01 | Nov 26, 2022 | In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. | ||
| CVE-2026-24747 | Hig | 0.50 | 8.8 | 0.01 | Jan 27, 2026 | PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt… | ||
| CVE-2025-55560 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor. | ||
| CVE-2025-55558 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS). | ||
| CVE-2025-55557 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS). | ||
| CVE-2025-55553 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). | ||
| CVE-2025-55552 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together. | ||
| CVE-2025-55551 | Hig | 0.49 | 7.5 | 0.00 | Sep 25, 2025 | An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation. | ||
| CVE-2024-31583 | Hig | 0.44 | 7.8 | 0.00 | Apr 17, 2024 | Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp. | ||
| CVE-2025-55554 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long(). | ||
| CVE-2025-46153 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | 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 nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True. | ||
| CVE-2025-46152 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument. | ||
| CVE-2025-46150 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results. | ||
| CVE-2025-46149 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error. | ||
| CVE-2025-46148 | Med | 0.34 | 5.3 | 0.00 | Sep 25, 2025 | In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results. | ||
| CVE-2025-2148 | Med | 0.33 | 5.0 | 0.00 | Mar 10, 2025 | A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tuple Handler. The manipulation of the argument None leads to memory corruption.… | ||
| CVE-2026-4538 | Med | 0.27 | 5.3 | 0.00 | Mar 22, 2026 | A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might… | ||
| CVE-2025-3001 | Med | 0.27 | 5.3 | 0.00 | Mar 31, 2025 | A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used. |
- risk 0.64cvss 9.8epss 0.02
In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.
- risk 0.57cvss 9.8epss 0.02
PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using…
- risk 0.57cvss 9.8epss 0.01
In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.
- risk 0.50cvss 8.8epss 0.01
PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt…
- risk 0.49cvss 7.5epss 0.00
An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
- risk 0.49cvss 7.5epss 0.00
A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).
- risk 0.49cvss 7.5epss 0.00
A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).
- risk 0.49cvss 7.5epss 0.00
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
- risk 0.49cvss 7.5epss 0.00
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
- risk 0.49cvss 7.5epss 0.00
An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.
- risk 0.44cvss 7.8epss 0.00
Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.
- risk 0.34cvss 5.3epss 0.00
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
- risk 0.34cvss 5.3epss 0.00
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 nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- risk 0.34cvss 5.3epss 0.00
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
- risk 0.34cvss 5.3epss 0.00
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
- risk 0.34cvss 5.3epss 0.00
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
- risk 0.34cvss 5.3epss 0.00
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
- risk 0.33cvss 5.0epss 0.00
A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tuple Handler. The manipulation of the argument None leads to memory corruption.…
- risk 0.27cvss 5.3epss 0.00
A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might…
- risk 0.27cvss 5.3epss 0.00
A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
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