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Vulnerability from bitnami_vulndb
Published
2026-09-03 08:40
Modified
2026-09-03 09:07
Summary
Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution
Details

Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code execution via Object Injection (CAPEC-586). A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.


{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "elasticsearch",
        "purl": "pkg:bitnami/elasticsearch"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "8.0.0"
            },
            {
              "fixed": "8.19.20"
            },
            {
              "introduced": "9.0.0"
            },
            {
              "fixed": "9.4.5"
            },
            {
              "introduced": "9.5.0"
            },
            {
              "fixed": "9.5.1"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-72649"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:elastic:elasticsearch:*:*:*:*:*:*:*:*"
    ],
    "severity": "High"
  },
  "details": "Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code execution via Object Injection (CAPEC-586). A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.",
  "id": "BIT-elasticsearch-2026-72649",
  "modified": "2026-09-03T09:07:28.402Z",
  "published": "2026-09-03T08:40:41.267Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://discuss.elastic.co/t/elasticsearch-8-19-20-9-4-5-9-5-1-security-update-esa-2026-114/390087"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72649"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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