Homepage
About Snyk

pytorch-lightning@2.1.0 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
  • C
Improper Restriction of Operations within the Bounds of a Memory Buffer

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

Affected versions of this package are vulnerable to Improper Restriction of Operations within the Bounds of a Memory Buffer due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. An attacker can execute arbitrary code and manipulate application state by constructing a serialized delta that includes dunder attributes.

How to fix Improper Restriction of Operations within the Bounds of a Memory Buffer?

There is no fixed version for pytorch-lightning.

[0,)
Go back to all versions of this package