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Vulnerability record · CVE-2026-31237 · published 12 May 2026

CVE-2026-31237: Deserialization of untrusted data vulnerability

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.

9.8 CVSS 3.1 Critical EPSS 0.88% · top 42.7% CWE-502 · Deserialization of untrusted data Deferred
9.8CVSS 3.1 base score
0.88%EPSS exploitation probability, 30 days
NoNot in CISA KEV
0Affected product versions listed by NVD
2References
17 Jun 2026Last modified by NVD

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:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

References

LinkTags
https://github.com/ludwig-ai/ludwig
https://www.notion.so/CVE-2026-31237-35d1e139318881fb95a2ee7c5d0e17d8

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Source: NIST National Vulnerability Database (record CVE-2026-31237), CISA KEV, FIRST EPSS (scores of 2026-09-26). This page is refreshed as NVD updates the record.