GHSA-RV29-9MQ6-7J5Q

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

OpenEMR through 8.2.0 contains a stored cross-site scripting vulnerability in the patient portal template system that allows authenticated administrators to inject arbitrary HTML and JavaScript by storing malicious payloads through the template save mode, which only filters literal PHP open tags. Attackers can exploit the lack of output encoding at the template retrieval endpoint combined with missing HttpOnly cookie attributes to exfiltrate session tokens via document.cookie access, enabling full session hijacking of any admin, clinician, or portal patient who views a poisoned template.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-67612"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-03T17:16:44Z",
    "severity": "MODERATE"
  },
  "details": "OpenEMR through 8.2.0 contains a stored cross-site scripting vulnerability in the patient portal template system that allows authenticated administrators to inject arbitrary HTML and JavaScript by storing malicious payloads through the template save mode, which only filters literal PHP open tags. Attackers can exploit the lack of output encoding at the template retrieval endpoint combined with missing HttpOnly cookie attributes to exfiltrate session tokens via document.cookie access, enabling full session hijacking of any admin, clinician, or portal patient who views a poisoned template.",
  "id": "GHSA-rv29-9mq6-7j5q",
  "modified": "2026-08-03T18:30:48Z",
  "published": "2026-08-03T18:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-67612"
    },
    {
      "type": "WEB",
      "url": "https://jivasecurity.com/writeups/openemr-portal-template-stored-xss"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openemr-stored-xss-via-import-template-php-template-management"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/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.

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