CVE-2026-31253

{"id": "CVE-2026-31253", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.3, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L", "integrityImpact": "LOW", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "LOW", "privilegesRequired": "NONE", "confidentialityImpact": "LOW"}, "impactScore": 3.4, "exploitabilityScore": 3.9}]}, "published": "2026-05-11T17:16:20.307", "references": [{"url": "https://github.com/Dao-AILab/flash-attention", "source": "cve@mitre.org"}, {"url": "https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49", "source": "cve@mitre.org"}], "vulnStatus": "Deferred", "weaknesses": [{"type": "Secondary", "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "description": [{"lang": "en", "value": "CWE-94"}, {"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system."}], "lastModified": "2026-05-12T20:16:34.110", "sourceIdentifier": "cve@mitre.org"}