CVE-2026-31221

Published
View on NVD ↗
CVSS v3
7.8
HIGH
CVSS v2
N/A
Affected
1
PROJECT

Description

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.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
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