CVE-2026-31221

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{"affected": [{"affectedData": [{"product": "n/a", "vendor": "n/a", "versions": [{"status": "affected", "version": "n/a"}]}], "source": "cve@mitre.org"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:lightningai:pytorch_lightning:*:*:*:*:*:python:*:*", "matchCriteriaId": "679C8CD0-8E18-4311-BF0C-776968832B4F", "versionEndIncluding": "2.6.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "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."}, {"lang": "es", "value": "Las versiones 2.6.0 y anteriores de PyTorch-Lightning contienen una vulnerabilidad de deserializaci\u00f3n insegura (CWE-502) en el mecanismo de carga de puntos de control. El m\u00e9todo LightningModule.load_from_checkpoint(), que se usa com\u00fanmente para cargar estados de modelos guardados, llama internamente a torch.load() sin establecer el par\u00e1metro de restricci\u00f3n de seguridad weights_only=True. Este comportamiento predeterminado permite la deserializaci\u00f3n de objetos Python arbitrarios a trav\u00e9s del m\u00f3dulo Pickle. Un atacante remoto puede explotar esto al proporcionar un archivo de punto de control creado maliciosamente, lo que lleva a la ejecuci\u00f3n de c\u00f3digo arbitrario en el sistema de la v\u00edctima cuando se carga el archivo."}], "id": "CVE-2026-31221", "lastModified": "2026-11-08T16:10:00.183", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.8, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 5.9, "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-31221", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2026-05-15T18:02:25.761345Z", "version": "2.0.3"}}]}, "published": "2026-05-12T16:16:14.020", "references": [{"source": "cve@mitre.org", "tags": ["Product"], "url": "https://github.com/Lightning-AI/pytorch-lightning"}, {"source": "cve@mitre.org", "tags": ["Exploit", "Third Party Advisory"], "url": "https://www.notion.so/CVE-2026-31221-35d1e1393188815f8db7c4fd08076639"}], "sourceIdentifier": "cve@mitre.org", "vulnStatus": "Modified", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "nvd@nist.gov", "type": "Primary"}, {"description": [{"lang": "en", "value": "CWE-502"}], "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "type": "Secondary"}]}

{}

{"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 Leads to Remote Code Execution", "updated": "2026-05-15T19:30:05.978815+00:00", "vendors": ["lightningai", "lightningai$PRODUCT$pytorch_lightning"]}