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
Score 9.8 from GitHub Security Advisory (severity: CRITICAL) published 2026-05-12. NVD baseline CVSS 9.8; sources differ by 0.0.
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 9.8
- EG Score
- 9.8(medium)
- EG Risk
- 59(Track)EG Risk 59/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity98% × 45%Exploitation1% × 40%Automatability100% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 45.1%
- KEV
- Not listed
Published
May 12, 2026
Last Modified
May 14, 2026
Advisory Details (2)
Auto-updated Jun 21, 2026GitHub - ludwig-ai/ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models · GitHub
https://github.com/ludwig-ai/ludwigVendor Advisories for CVE-2026-31237(1)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
Patch Availability(1)
| Vendor / Ecosystem | Fixed in / Patch | Released | Source |
|---|---|---|---|
| pip | ludwig | — | ghsa |
Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| ludwig | 0.1.0 ... 0.9.3 (56 versions) | — | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 14× in last 7d / 56× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
Showing the most recent 100 of 220 total refreshes for this CVE.
- 2026-07-23 14:18 UTCEPSS rescore
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Related CVEs(same product + same CWE)
Same CWE
10 shownCWE-502
- CVE-2017-20208EG 9.8CRITICAL
- CVE-2017-20207EG 9.8CRITICAL
- CVE-2017-20206EG 9.8CRITICAL
- CVE-2017-20189EG 9.8CRITICAL
- CVE-2017-10992EG 9.8EPSS 95%CRITICAL
- CVE-2013-4521EG 9.8EPSS 90%CRITICAL
- CVE-2014-1860EG 9.8CRITICAL
- CVE-2016-1000027EG 9.8EPSS 98%CRITICAL
- CVE-2014-3699EG 9.8CRITICAL
- CVE-2017-18605EG 9.8CRITICAL
Frequently asked(5)
What is CVE-2026-31237?
When was CVE-2026-31237 disclosed?
Is CVE-2026-31237 actively exploited?
What is the CVSS score of CVE-2026-31237?
How do I remediate CVE-2026-31237?
Dependency Blast Radius
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