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    CVE-2026-31237

    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. 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.

    Published:May 12, 2026
    Last Modified:May 14, 2026
    EPS:May 12, 2026
    EPSS Score:0.00061
    CVSS Score:9.8

    Affected Products

    Vendor
    Ludwig-ai
    Product
    Ludwig

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High