Search criteria
54 vulnerabilities found for pytorch by linuxfoundation
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": "https://github.com/Daisy2ang"
},
{
"url": "http://pytorch.com"
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"url": "https://github.com/pytorch/pytorch"
},
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"url": "https://github.com/pytorch/pytorch/issues/156563"
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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-2025-3730 (GCVE-0-2025-3730)
Vulnerability from nvd – Published: 2025-04-16 21:00 – Updated: 2025-05-22 21:39 Disputed
VLAI?
Title
PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service
Summary
A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
Severity ?
CWE
- CWE-404 - Denial of Service
Assigner
References
| URL | Tags | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||||||||
Credits
Default436352 (VulDB User)
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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-2025-46153 (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-2025-55560 (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-2025-55554 (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-2025-55553 (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-2025-55557 (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-2025-46149 (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-2025-46150 (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-2025-55551 (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-2025-46152 (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-2025-55558 (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-2025-32434 (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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CVE-2025-3730 (GCVE-0-2025-3730)
Vulnerability from cvelistv5 – Published: 2025-04-16 21:00 – Updated: 2025-05-22 21:39 Disputed
VLAI?
Title
PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service
Summary
A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
Severity ?
CWE
- CWE-404 - Denial of Service
Assigner
References
| URL | Tags | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||||||||||
Credits
Default436352 (VulDB User)
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"value": "Es wurde eine Schwachstelle in PyTorch 2.6.0 gefunden. Sie wurde als problematisch eingestuft. Hiervon betroffen ist die Funktion torch.nn.functional.ctc_loss der Datei aten/src/ATen/native/LossCTC.cpp. Mit der Manipulation mit unbekannten Daten kann eine denial of service-Schwachstelle ausgenutzt werden. Der Angriff hat dabei lokal zu erfolgen. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung. Die wahre Existenz der vermeintlichen Schwachstelle wird zur Zeit in Frage gestellt. Der Patch wird als 46fc5d8e360127361211cb237d5f9eef0223e567 bezeichnet. Als bestm\u00f6gliche Massnahme wird Patching empfohlen."
}
],
"metrics": [
{
"cvssV4_0": {
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"version": "4.0"
}
},
{
"cvssV3_1": {
"baseScore": 3.3,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 3.3,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.0"
}
},
{
"cvssV2_0": {
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"vectorString": "AV:L/AC:L/Au:S/C:N/I:N/A:P",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-404",
"description": "Denial of Service",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-05-22T21:39:19.138Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-305076 | PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.305076"
},
{
"name": "VDB-305076 | CTI Indicators (IOB, IOC, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.305076"
},
{
"name": "Submit #553645 | pytorch pytorch (in torch.nn.functional.ctc_loss) 2.6.0 Denial of Service",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.553645"
},
{
"tags": [
"issue-tracking"
],
"url": "https://github.com/pytorch/pytorch/issues/150835"
},
{
"tags": [
"issue-tracking"
],
"url": "https://github.com/pytorch/pytorch/pull/150981"
},
{
"tags": [
"exploit",
"issue-tracking"
],
"url": "https://github.com/pytorch/pytorch/issues/150835#issue-2979082232"
},
{
"tags": [
"patch"
],
"url": "https://github.com/timocafe/tewart-pytorch/commit/46fc5d8e360127361211cb237d5f9eef0223e567"
}
],
"tags": [
"disputed"
],
"timeline": [
{
"lang": "en",
"time": "2025-04-16T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2025-04-16T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2025-05-22T23:44:11.000Z",
"value": "VulDB entry last update"
}
],
"title": "PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2025-3730",
"datePublished": "2025-04-16T21:00:17.836Z",
"dateReserved": "2025-04-16T13:41:20.997Z",
"dateUpdated": "2025-05-22T21:39:19.138Z",
"state": "PUBLISHED"
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