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78 vulnerabilities found for pytorch by linuxfoundation

FKIE_CVE-2025-55560

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-14 19:59
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151522Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/151897Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55557

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-03 18:07
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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).
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151738Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/151931Issue Tracking, Patch
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/151738Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55554

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-03 18:08
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Summary
pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151510Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55553

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-03 18:10
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151432Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/154645Issue Tracking, Patch
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/151432Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55552

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-03 18:10
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Summary
pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/147847Issue Tracking
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/147847Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55558

Vulnerability from fkie_nvd - Published: 2025-09-25 16:15 - Updated: 2025-10-03 18:06
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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).
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151523Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/151887Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-46152

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:57
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Summary
In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/143555Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/143635Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-46150

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:58
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/141538Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/144395Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-46153

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:56
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
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.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28aThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0Product
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/142853Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/143460Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-55551

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:56
Severity ?
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efcThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151401Issue Tracking
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/pytorch/pytorch/issues/151401Issue Tracking
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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FKIE_CVE-2025-46148

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:59
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://gist.github.com/shaoyuyoung/65a587a579dfdff887b9b35bb79b9093Third Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/151198Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/152993Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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  "published": "2025-09-25T15:16:12.007",
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FKIE_CVE-2025-46149

Vulnerability from fkie_nvd - Published: 2025-09-25 15:16 - Updated: 2025-10-03 17:58
Severity ?
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
References
cve@mitre.orghttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
cve@mitre.orghttps://github.com/pytorch/pytorch/issues/147848Issue Tracking
cve@mitre.orghttps://github.com/pytorch/pytorch/pull/147961Issue Tracking, Patch
Impacted products
Vendor Product Version
linuxfoundation pytorch *
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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