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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. 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 Reserved 2026-03-09 | Published 2026-05-12 | Updated 2026-05-14 | Assigner mitre

References

github.com/ludwig-ai/ludwig

www.notion.so/...2026-31237-35d1e139318881fb95a2ee7c5d0e17d8

cve.org (CVE-2026-31237)

nvd.nist.gov (CVE-2026-31237)

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