GHSA-GQPM-G63C-92XV

Vulnerability from github – Published: 2026-09-16 15:31 – Updated: 2026-09-17 21:31
VLAI
Details

ScadaLTS 2.8.1-release-candidate build 0 is affected by an Authenticated Blind SQL Injection

The /api/events/search endpoint accepts a JSON body containing a sortBy array. The values in this array are concatenated directly into the SQL ORDER BY clause without any sanitization or parameterization. This allows authenticated users with the ROLE_USER role to perform time-based and boolean-based blind SQL injection to extract arbitrary data from the database, including password hashes of all users.

The endpoint is accessible to any authenticated user with ROLE_USER, ROLE_ADMIN, or ROLE_PUBLIC via POST /api/events/search as defined in spring-security.xml.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-84859"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-16T15:18:00Z",
    "severity": "MODERATE"
  },
  "details": "ScadaLTS 2.8.1-release-candidate build 0 is affected by an\u00a0Authenticated Blind SQL Injection\n\n\n\nThe /api/events/search endpoint accepts a JSON body containing a sortBy array. The values in this array are concatenated directly into the SQL ORDER BY clause without any sanitization or parameterization. This allows authenticated users with the ROLE_USER role to perform time-based and boolean-based blind SQL injection to extract arbitrary data from the database, including password hashes of all users.\n\n\n\nThe endpoint is accessible to any authenticated user with ROLE_USER, ROLE_ADMIN, or ROLE_PUBLIC via POST /api/events/search as defined in spring-security.xml.",
  "id": "GHSA-gqpm-g63c-92xv",
  "modified": "2026-09-17T21:31:35Z",
  "published": "2026-09-16T15:31:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-84859"
    },
    {
      "type": "WEB",
      "url": "https://www.tenable.com/security/research/tra-2026-60"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}



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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.

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