GHSA-PJ78-C8JQ-8XHF

Vulnerability from github – Published: 2026-08-03 18:30 – Updated: 2026-08-03 18:30
VLAI
Details

OpenEMR through 8.2.0 contains a remote code execution vulnerability in the document category tree component (library/classes/Tree.class.php) that allows authenticated administrators to execute arbitrary operating system commands by injecting PHP payloads into the categories database table. Attackers can chain arbitrary SQL execution to alter the id column type to VARCHAR and insert a malicious PHP payload, which is then executed via an unsanitized eval() call whenever any page instantiates CategoryTree, including unauthenticated and low-privilege pages, resulting in command execution as the web server user.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-39932"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-95"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-03T17:16:36Z",
    "severity": "CRITICAL"
  },
  "details": "OpenEMR through 8.2.0 contains a remote code execution vulnerability in the document category tree component (library/classes/Tree.class.php) that allows authenticated administrators to execute arbitrary operating system commands by injecting PHP payloads into the categories database table. Attackers can chain arbitrary SQL execution to alter the id column type to VARCHAR and insert a malicious PHP payload, which is then executed via an unsanitized eval() call whenever any page instantiates CategoryTree, including unauthenticated and low-privilege pages, resulting in command execution as the web server user.",
  "id": "GHSA-pj78-c8jq-8xhf",
  "modified": "2026-08-03T18:30:48Z",
  "published": "2026-08-03T18:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-39932"
    },
    {
      "type": "WEB",
      "url": "https://jivasecurity.com/writeups/openemr-eval-rce-category-tree-cve-2026-39932"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openemr-remote-code-execution-via-categorytree-eval-injection"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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

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Nomenclature

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