Vulnerabilities in pkg:pypi/ludwig

PACKAGE

Advisory Identifier: GHSA-wcr3-gm9f-f87q

Advisory Summary

CVE-2026-31237 is a CRITICAL (CVSS 9.8) ludwig framework is vulnerable to vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Ludwig libraries in the PyPI ecosystem. The issue involves ludwig framework is vulnerable to insecure deserialization through its predict() method.. Remediation is available in the latest vendor maintenance releases.

2 Known Advisory Record(s)

Package Vulnerability Intelligence

pkg:pypi/ludwig

2 Known Advisory Record(s)

Vulnerability advisories affecting package pkg:pypi/ludwig. Select an advisory below to view technical details or fixes.

Advisory ID	CVE / NVD	Severity	Summary
GHSA-wcr3-gm9f-f87q	CVE-2026-31237	CRITICAL	Ludwig framework is vulnerable to insecure deserialization through its predict() method.
GHSA-xp5q-5q7g-q26r	CVE-2026-31238	CRITICAL	Ludwig framework is vulnerable to insecure deserialization in its model serving component

CVE-2026-31237 at a Glance

CVE Identifier CVE-2026-31237

GHSA Identifier GHSA-wcr3-gm9f-f87q

Severity CRITICAL

CVSS v3.1 Base Score 9.8

CWE Classification CWE-502: Deserialization of Untrusted Data

Affected Product Ludwig

Package Ecosystem PyPI

Published Date 2026-05-12

Last Updated 2026-05-27

Security Impact

CVSS: 9.8

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Attack Vector Network (AV:N)

Attack Complexity Low (AC:L)

Privileges Required None (PR:N)

User Interaction None (UI:N)

Scope Unchanged (S:U)

Confidentiality High (C:H)

Integrity High (I:H)

Availability High (A:H)

How to Fix CVE-2026-31237

To remediate this vulnerability, upgrade all affected Ludwig dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

ludwig fixed: Latest secure release

pip install ludwig>=Latest secure release

Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show ludwig

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2026-31237, inspect your installed packages using pip:

pip show ludwig

Analyze the terminal output to locate any version of Ludwig in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.

Note: The pip show ludwig command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Ludwig, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

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.

CVE-2026-31237 Affected Ludwig Versions

1 component(s)

Product / Package	Ecosystem	Affected Versions	Fixed Version
ludwig pypi/ludwig	PyPI	≤ 0.10.4

References

NVD — CVE-2026-31237 NVD

https://nvd.nist.gov/vuln/detail/CVE-2026-31237

Ludwig Source Repository REPOSITORY

https://github.com/ludwig-ai/ludwig

www.notion.so/cve-2026-31237-35d1... WEB

https://www.notion.so/CVE-2026-31237-35d1e139318881fb95a2ee7c5d0e17d8

Frequently Asked Questions

What is CVE-2026-31237?

CVE-2026-31237 is a security vulnerability in Ludwig involving Ludwig framework is vulnerable to insecure deserialization through its predict() method. under CWE-502: Deserialization of Untrusted Data.

Which Ludwig versions are affected?

Affected versions include releases prior to current release patches across affected packages: ludwig.

What version fixes CVE-2026-31237?

Upgrading to current release patches (or the latest patched release for your respective branch) resolves the vulnerability.

Is ludwig affected?

Yes, ludwig is affected in releases prior to Latest secure release. Upgrade your dependency to Latest secure release or later.

What is the CVSS score of CVE-2026-31237?

CVE-2026-31237 has a CVSS v3.1 base score of 9.8 (CRITICAL) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.

What CWE is associated with CVE-2026-31237?

CVE-2026-31237 is classified under CWE-502: Deserialization of Untrusted Data (The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.).

How can I check PyPI dependencies for CVE-2026-31237?

Run the dependency tree command: 'pip show ludwig'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.

Machine-readable OSV JSON OSV v1.5 Schema

Normalized schema output

View Raw JSON

{
  "schema_version" : "1.4.0",
  "id" : "GHSA-wcr3-gm9f-f87q",
  "modified" : "2026-05-27T22:19:35Z",
  "published" : "2026-05-12T18:30:41Z",
  "aliases" : [ "CVE-2026-31237" ],
  "summary" : "Ludwig framework is vulnerable to insecure deserialization through its predict() method.",
  "details" : "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.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "ludwig"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "last_affected" : "0.10.4"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-31237"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/ludwig-ai/ludwig"
  }, {
    "type" : "WEB",
    "url" : "https://www.notion.so/CVE-2026-31237-35d1e139318881fb95a2ee7c5d0e17d8"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-502" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-05-27T22:19:35Z",
    "nvd_published_at" : "2026-05-12T18:16:52Z"
  }
}

CVSS V3

9.8 CRITICAL