CVE-2026-31237_CVE-2026-31237

{
    "lastseen": "",
    "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": "2026-05-12T00:00:00.000Z",
    "modified": "2026-05-14T19:54:23.672Z",
    "type": "cve",
    "title": "CVE-2026-31237",
    "source": "mitre",
    "references": "https://github.com/ludwig-ai/ludwig\nhttps://www.notion.so/CVE-2026-31237-35d1e139318881fb95a2ee7c5d0e17d8",
    "id": "CVE-2026-31237",
    "bulletinFamily": "",
    "cwe": [
        "CWE-502"
    ],
    "cvelist": null,
    "sourceData": "n/a n/a n/a",
    "sourceHref": "",
    "cvss": {
        "score": 9.8,
        "severity": "CRITICAL",
        "vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
        "version": "3.1"
    },
    "cvss2": [],
    "cvss3": {
        "version": "",
        "vectorString": "",
        "baseScore": 0,
        "baseSeverity": "",
        "attackVector": "",
        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
            "baseSeverity": "",
            "attackVector": "",
            "attackComplexity": "",
            "privilegesRequired": "",
            "userInteraction": "",
            "scope": "",
            "confidentialityImpact": "",
            "integrityImpact": "",
            "availabilityImpact": ""
        }
    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "Ludwig",
    "version": "0.10.4",
    "vendor": "Uber",
    "ai_description": "Insecure deserialization vulnerability in Ludwig framework through predict() method",
    "ai_severity": "Critical",
    "ai_vendor": "Uber",
    "ai_product": "Ludwig",
    "ai_version": "0.10.4",
    "ai_score": 9.8
}