Safety CI > PhosphorylatedRabbits/brontes

pyup-update-pytorch-lightning-0.4.8-to-2.5.1.post0

2 months, 1 week ago

ba885973

Update pytorch-lightning from 0.4.8 to 2.5.1.post0

No dependencies with known security vulnerabilities.

dependabot/pip/pytorch-lightning-2.4.0

3 months, 2 weeks ago

d10dfa33

chore(deps): bump pytorch-lightning from 0.4.8 to 2.4.0 Bumps [pytorch-lightning](https://github.co

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.5.1

3 months, 2 weeks ago

e250e1b6

Update pytorch-lightning from 0.4.8 to 2.5.1

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.5.0.post0

6 months, 2 weeks ago

db56372c

Update pytorch-lightning from 0.4.8 to 2.5.0.post0

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.5.0

6 months, 2 weeks ago

d5a30a8c

Update pytorch-lightning from 0.4.8 to 2.5.0

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.4.0

11 months ago

c231c33f

Update pytorch-lightning from 0.4.8 to 2.4.0

torch 2.4.0 has known security vulnerabilities.

Package	Installed	Affected	Info
torch	2.4.0	<=2.6.0	show Disputed 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
torch	2.4.0	<2.6.0	show 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.

Package

Installed

Affected

Info

torch

2.4.0

<=2.6.0

show

*Disputed* 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.

torch

2.4.0

<2.6.0

show

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.

pyup-update-pytorch-lightning-0.4.8-to-2.3.3

12 months ago

906dddb3

Update pytorch-lightning from 0.4.8 to 2.3.3

torch 2.3.1 has known security vulnerabilities.

Package	Installed	Affected	Info
torch	2.3.1	<=2.6.0	show Disputed 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
torch	2.3.1	<2.6.0	show 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.

Package

Installed

Affected

Info

torch

2.3.1

<=2.6.0

show

*Disputed* 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.

torch

2.3.1

<2.6.0

show

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.

pyup-update-pytorch-lightning-0.4.8-to-2.3.2

1 year ago

6164de6e

Update pytorch-lightning from 0.4.8 to 2.3.2

torch 2.3.1 has known security vulnerabilities.

Package	Installed	Affected	Info
torch	2.3.1	<=2.6.0	show Disputed 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
torch	2.3.1	<2.6.0	show 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.

Package

Installed

Affected

Info

torch

2.3.1

<=2.6.0

show

*Disputed* 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.

torch

2.3.1

<2.6.0

show

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.

pyup-update-pytorch-lightning-0.4.8-to-2.3.1

1 year ago

990cacbd

Update pytorch-lightning from 0.4.8 to 2.3.1

torch 2.3.1 has known security vulnerabilities.

Package	Installed	Affected	Info
torch	2.3.1	<=2.6.0	show Disputed 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.
torch	2.3.1	<2.6.0	show 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.

Package

Installed

Affected

Info

torch

2.3.1

<=2.6.0

show

*Disputed* 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 name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.

torch

2.3.1

<2.6.0

show

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.

pyup-update-pytorch-lightning-0.4.8-to-2.3.0

1 year ago

74f5429e

Update pytorch-lightning from 0.4.8 to 2.3.0

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.2.5

1 year, 1 month ago

5d2327d3

Update pytorch-lightning from 0.4.8 to 2.2.5

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.2.4

1 year, 2 months ago

b12f2807

Update pytorch-lightning from 0.4.8 to 2.2.4

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.2.3

1 year, 2 months ago

397d692f

Update pytorch-lightning from 0.4.8 to 2.2.3

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.2.2

1 year, 2 months ago

13fd7106

Update pytorch-lightning from 0.4.8 to 2.2.2

No dependencies with known security vulnerabilities.

pyup-update-pytorch-lightning-0.4.8-to-2.2.1

1 year, 4 months ago

3bd2ed28

Update pytorch-lightning from 0.4.8 to 2.2.1

No dependencies with known security vulnerabilities.