Vulnerability 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.
CVSS Score
CRITICAL
Related Weaknesses (CWE)
References
- https://github.com/ludwig-ai/ludwig
- https://www.notion.so/CVE-2026-31237-35d1e139318881fb95a2ee7c5d0e17d8
FAQ
What is CVE-2026-31237?
CVE-2026-31237 is a vulnerability with a CVSS score of 9.8 (CRITICAL). 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 autom...
How severe is CVE-2026-31237?
CVE-2026-31237 has been rated CRITICAL with a CVSS base score of 9.8/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2026-31237?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.