{
  "schemaVersion": 1,
  "attribution": [
    {
      "source": "CISA Known Exploited Vulnerabilities",
      "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog",
      "licence": "US government work"
    },
    {
      "source": "GitHub Advisory Database",
      "url": "https://github.com/advisories",
      "licence": "CC BY 4.0"
    },
    {
      "source": "Have I Been Pwned",
      "url": "https://haveibeenpwned.com/",
      "licence": "CC BY 4.0"
    },
    {
      "source": "CVE Program (CVE records)",
      "url": "https://www.cve.org/Legal/TermsOfUse",
      "licence": "CVE Terms of Use",
      "notice": "Copyright © 1999-2026, The MITRE Corporation. CVE is a trademark and the CVE logo is a registered trademark of The MITRE Corporation.",
      "terms": "CVE Usage: MITRE hereby grants you a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute Common Vulnerabilities and Exposures (CVE™). Any copy you make for such purposes is authorized provided that you reproduce MITRE's copyright designation and this license in any such copy."
    },
    {
      "source": "FIRST EPSS",
      "url": "https://www.first.org/epss/",
      "licence": "free to use; FIRST requests attribution"
    }
  ],
  "record": {
    "id": "CVE-2026-18617",
    "sourceURL": "https://www.cve.org/CVERecord?id=CVE-2026-18617",
    "idYear": 2026,
    "status": "PUBLISHED",
    "publishedAt": "2026-08-10T20:44:33.507Z",
    "updatedAt": "2026-09-21T10:25:01.635Z",
    "importedAt": "2026-10-24T01:57:55.771Z",
    "snapshot": {
      "id": "cve_2026-10-24_midnight_baseline",
      "at": "2026-10-24T00:00:00.000Z",
      "source": "https://github.com/CVEProject/cvelistV5/releases/tag/cve_2026-10-24_0100Z"
    },
    "facts": {
      "title": "Data-science-pipelines-operator: dspo: mysql dsn parameter injection via customextraparams enables local infile file exfiltration from operator pod",
      "summary": "A flaw was found in the Data Science Pipelines Operator (DSPO). A namespace editor can exploit a vulnerability in the spec.database.customExtraParams field, which allows for the injection of dangerous parameters into the MySQL Data Source Name (DSN) string. By manipulating these parameters, an attacker can enable LOCAL INFILE functionality and exfiltrate sensitive files, such as the service account token, from the operator pod. This can lead to privilege escalation, allowing a namespace editor to gain cluster-admin privileges.",
      "affected": [
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 2.25",
          "packageName": "rhoai/odh-data-science-pipelines-operator-controller-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1785189332",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 2.25",
          "packageName": "rhoai/odh-data-science-pipelines-operator-controller-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1788182334",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 3.3",
          "packageName": "rhoai/odh-data-science-pipelines-operator-controller-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1785187936",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 3.4",
          "packageName": "rhoai/odh-data-science-pipelines-operator-controller-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1784833428",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 3.4",
          "packageName": "rhoai/odh-data-science-pipelines-operator-controller-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1787002057",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 3.5",
          "packageName": "rhoai/odh-latency-predictor-prediction-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1786552271",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        },
        {
          "vendor": "Red Hat",
          "product": "Red Hat OpenShift AI 3.5",
          "packageName": "rhoai/odh-latency-predictor-training-rhel9",
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "defaultStatus": "affected",
          "versions": [
            {
              "version": "1786552250",
              "status": "unaffected",
              "versionType": "rpm",
              "lessThan": "*"
            }
          ]
        }
      ]
    }
  }
}