Homepage
About Snyk

pytorch-lightning@1.5.8 vulnerabilities

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Go back to all versions of this package
Report a new vulnerability Found a mistake?

Direct Vulnerabilities

Known vulnerabilities in the pytorch-lightning package. This does not include vulnerabilities belonging to this package’s dependencies.

Automatically find and fix vulnerabilities affecting your projects. Snyk scans for vulnerabilities and provides fixes for free.
Fix for free
Vulnerability Vulnerable Version
  • H
Command Injection

pytorch-lightning is a lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Affected versions of this package are vulnerable to Command Injection by setting the PL_TRAINER_GPUS when using the Trainer module.

How to fix Command Injection?

Upgrade pytorch-lightning to version 1.6.0rc0 or higher.

[,1.6.0rc0)
  • H
Deserialization of Untrusted Data

pytorch-lightning is a lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Affected versions of this package are vulnerable to Deserialization of Untrusted Data via saving.py functionality which is calling yaml.UnsafeLoader from pyyaml Python library which is not a secure method. Because of that, maliciously crafted yaml config file can cause code execution on the victim's machine.

How to fix Deserialization of Untrusted Data?

Upgrade pytorch-lightning to version 1.6.0rc0 or higher.

[,1.6.0rc0)
Go back to all versions of this package