PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.loadfromcheckpoint() 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.
{
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/31xxx/CVE-2026-31221.json",
"cna_assigner": "mitre"
}{
"source": "CPE_RANGE",
"cpe": "cpe:2.3:a:lightningai:pytorch_lightning:*:*:*:*:*:python:*:*",
"extracted_events": [
{
"introduced": "0"
},
{
"last_affected": "2.6.0"
}
]
}