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GHSA-75m9-98v2-hjpm

PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization

Source: GitHub Advisory Database (reviewed) High CVE-2026-31221

Packages

EcosystemPackageAffectedFixed in
PyPI pytorch-lightning <= 2.6.0 no fix listed

Details

As written in the advisory (Markdown source, shown as plain text).

PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded.

References

External links from the advisory. They lead to third-party sites.