{"api_version":"1","generated_at":"2026-06-04T13:00:50+00:00","cve":"CVE-2026-31237","urls":{"html":"https://cve.report/CVE-2026-31237","api":"https://cve.report/api/cve/CVE-2026-31237.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-31237","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-31237"},"summary":{"title":"CVE-2026-31237","description":"The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. 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When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction.","Type":"Description","Title":"CVE-2026-31237"}]}}}