PyTorch-Lightning versions 2.6.0 and earlier contain an...
High severity
Unreviewed
Published
May 12, 2026
to the GitHub Advisory Database
•
Updated May 14, 2026
Description
Published by the National Vulnerability Database
May 12, 2026
Published to the GitHub Advisory Database
May 12, 2026
Last updated
May 14, 2026
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.
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