GHSA-75m9-98v2-hjpm
PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization
Packages
| Ecosystem | Package | Affected | Fixed 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.