{
    "CVE_data_meta": {
        "ASSIGNER": "cve@mitre.org",
        "ID": "CVE-2023-43472",
        "STATE": "PUBLIC"
    },
    "affects": {
        "vendor": {
            "vendor_data": [
                {
                    "product": {
                        "product_data": [
                            {
                                "product_name": "n/a",
                                "version": {
                                    "version_data": [
                                        {
                                            "version_value": "n/a"
                                        }
                                    ]
                                }
                            }
                        ]
                    },
                    "vendor_name": "n/a"
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            ]
        }
    },
    "data_format": "MITRE",
    "data_type": "CVE",
    "data_version": "4.0",
    "description": {
        "description_data": [
            {
                "lang": "eng",
                "value": "An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API."
            }
        ]
    },
    "problemtype": {
        "problemtype_data": [
            {
                "description": [
                    {
                        "lang": "eng",
                        "value": "n/a"
                    }
                ]
            }
        ]
    },
    "references": {
        "reference_data": [
            {
                "refsource": "MISC",
                "name": "https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security",
                "url": "https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security"
            }
        ]
    }
}