{"dataType": "CVE_RECORD", "cveMetadata": {"state": "PUBLISHED", "cveId": "CVE-2026-31221", "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "assignerShortName": "mitre", "dateUpdated": "2026-05-12T15:09:17.157Z", "dateReserved": "2026-03-09T00:00:00.000Z", "datePublished": "2026-05-12T00:00:00.000Z"}, "containers": {"cna": {"providerMetadata": {"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca", "shortName": "mitre", "dateUpdated": "2026-05-12T15:09:17.157Z"}, "descriptions": [{"lang": "en", "value": "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."}], "affected": [{"vendor": "n/a", "product": "n/a", "versions": [{"version": "n/a", "status": "affected"}]}], "references": [{"url": "https://github.com/Lightning-AI/pytorch-lightning"}, {"url": "https://www.notion.so/CVE-2026-31221-35d1e1393188815f8db7c4fd08076639"}], "problemTypes": [{"descriptions": [{"type": "text", "lang": "en", "description": "n/a"}]}]}}, "dataVersion": "5.2"}

{}

{"cveTags": [], "descriptions": [{"lang": "en", "value": "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."}], "id": "CVE-2026-31221", "lastModified": "2026-05-12T16:38:07.807", "metrics": {}, "published": "2026-05-12T16:16:14.020", "references": [{"source": "cve@mitre.org", "url": "https://github.com/Lightning-AI/pytorch-lightning"}, {"source": "cve@mitre.org", "url": "https://www.notion.so/CVE-2026-31221-35d1e1393188815f8db7c4fd08076639"}], "sourceIdentifier": "cve@mitre.org", "vulnStatus": "Awaiting Analysis"}

{}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,2.6.0]"}}], "enrichment": {"confidence": 95.0, "confidence_source": "inferred", "scores": [{"score": 95.0, "source": "inferred"}, {"score": 98.0, "source": "matching"}]}, "original": {"product": "n/a", "source": "cna", "vendor": "n/a"}, "product": "pytorch_lightning", "vendor": "lightningai"}], "created": "2026-05-12T17:30:21.116884+00:00", "title": "Insecure Deserialization in PyTorch-Lightning Allows Arbitrary Code Execution", "updated": "2026-05-12T19:15:22.363544+00:00", "vendors": ["lightningai", "lightningai$PRODUCT$pytorch_lightning"]}