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60 vulnerabilities found for pytorch by linuxfoundation
CVE-2026-24747 (GCVE-0-2026-24747)
Vulnerability from nvd – Published: 2026-01-27 21:13 – Updated: 2026-02-26 15:04
VLAI?
Title
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Summary
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 memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.
Severity ?
8.8 (High)
CWE
Assigner
References
| URL | Tags | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
||||||||||||||
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"url": "https://github.com/pytorch/pytorch/issues/163105"
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"name": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139",
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"name": "https://github.com/pytorch/pytorch/releases/tag/v2.10.0",
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CVE-2025-63396 (GCVE-0-2025-63396)
Vulnerability from nvd – Published: 2025-11-12 00:00 – Updated: 2025-11-13 15:54
VLAI?
Summary
An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS).
Severity ?
CWE
- n/a
Assigner
References
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"url": "http://pytorch.com"
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CVE-2025-55560 (GCVE-0-2025-55560)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-26 19:39
VLAI?
Summary
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.
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55558 (GCVE-0-2025-55558)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-26 20:00
VLAI?
Summary
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).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55557 (GCVE-0-2025-55557)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-29 16:14
VLAI?
Summary
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).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55554 (GCVE-0-2025-55554)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-26 19:57
VLAI?
Summary
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-55553 (GCVE-0-2025-55553)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:30
VLAI?
Summary
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55552 (GCVE-0-2025-55552)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:35
VLAI?
Summary
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-55551 (GCVE-0-2025-55551)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:37
VLAI?
Summary
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.
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-46153 (GCVE-0-2025-46153)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:33
VLAI?
Summary
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.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46152 (GCVE-0-2025-46152)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:38
VLAI?
Summary
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46150 (GCVE-0-2025-46150)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:40
VLAI?
Summary
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46149 (GCVE-0-2025-46149)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:44
VLAI?
Summary
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46148 (GCVE-0-2025-46148)
Vulnerability from nvd – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:47
VLAI?
Summary
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-32434 (GCVE-0-2025-32434)
Vulnerability from nvd – Published: 2025-04-18 15:48 – Updated: 2025-12-01 07:05
VLAI?
Title
PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
Summary
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 torch.load with weights_only=True. This issue has been patched in version 2.6.0.
Severity ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
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CVE-2026-24747 (GCVE-0-2026-24747)
Vulnerability from cvelistv5 – Published: 2026-01-27 21:13 – Updated: 2026-02-26 15:04
VLAI?
Title
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Summary
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 memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.
Severity ?
8.8 (High)
CWE
Assigner
References
| URL | Tags | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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CVE-2025-63396 (GCVE-0-2025-63396)
Vulnerability from cvelistv5 – Published: 2025-11-12 00:00 – Updated: 2025-11-13 15:54
VLAI?
Summary
An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS).
Severity ?
CWE
- n/a
Assigner
References
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CVE-2025-55552 (GCVE-0-2025-55552)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:35
VLAI?
Summary
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46149 (GCVE-0-2025-46149)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:44
VLAI?
Summary
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46152 (GCVE-0-2025-46152)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:38
VLAI?
Summary
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-55553 (GCVE-0-2025-55553)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:30
VLAI?
Summary
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55560 (GCVE-0-2025-55560)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-26 19:39
VLAI?
Summary
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.
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-46150 (GCVE-0-2025-46150)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:40
VLAI?
Summary
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-46153 (GCVE-0-2025-46153)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:33
VLAI?
Summary
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.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-55554 (GCVE-0-2025-55554)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-26 19:57
VLAI?
Summary
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-55551 (GCVE-0-2025-55551)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-29 17:37
VLAI?
Summary
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.
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55558 (GCVE-0-2025-55558)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-26 20:00
VLAI?
Summary
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).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-55557 (GCVE-0-2025-55557)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-29 16:14
VLAI?
Summary
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).
Severity ?
7.5 (High)
CWE
- n/a
Assigner
References
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CVE-2025-46148 (GCVE-0-2025-46148)
Vulnerability from cvelistv5 – Published: 2025-09-25 00:00 – Updated: 2025-09-25 18:47
VLAI?
Summary
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
Severity ?
5.3 (Medium)
CWE
- n/a
Assigner
References
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CVE-2025-32434 (GCVE-0-2025-32434)
Vulnerability from cvelistv5 – Published: 2025-04-18 15:48 – Updated: 2025-12-01 07:05
VLAI?
Title
PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
Summary
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 torch.load with weights_only=True. This issue has been patched in version 2.6.0.
Severity ?
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
| URL | Tags | ||||
|---|---|---|---|---|---|
|
|||||
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