FKIE_CVE-2026-46518

Vulnerability from fkie_nvd - Published: 2026-06-10 00:16 - Updated: 2026-06-11 18:23
Severity
7.7 (High) - CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N
8.7 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N
Summary
OpenEMR is a free and open source electronic health records and medical practice management application. Prior to version 8.0.0.1, a stored cross-site scripting vulnerability in the prescription CSS/HTML multi-print feature allows a patient portal user to execute arbitrary JavaScript in a clinician's browser session. Patient demographic fields (name, address) are rendered without output encoding in multiprintcss_header(), and portal patients can write attacker-controlled HTML directly into patient_data by calling the PUT api/patient/:num endpoint, which bypasses the intended audit review workflow. Because the XSS fires in the clinician's authenticated session on the main OpenEMR interface, the attacker can access CSRF tokens, session data, and perform actions as the clinician — crossing the patient-to-clinician trust boundary. This issue has been patched in version 8.0.0.1.
References
security-advisories@github.comhttps://github.com/openemr/openemr/security/advisories/GHSA-4gh4-q39r-45wfExploit, Vendor Advisory
134c704f-9b21-4f2e-91b3-4a467353bcc0https://github.com/openemr/openemr/security/advisories/GHSA-4gh4-q39r-45wfExploit, Vendor Advisory
Impacted products
Vendor Product Version
open-emr openemr *
To clipboard 

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    {
      "nodes": [
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          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:open-emr:openemr:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "136D07EE-9108-423B-AD86-E9E901940C17",
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    {
      "lang": "en",
      "value": "OpenEMR is a free and open source electronic health records and medical practice management application. Prior to version 8.0.0.1, a stored cross-site scripting vulnerability in the prescription CSS/HTML multi-print feature allows a patient portal user to execute arbitrary JavaScript in a clinician\u0027s browser session. Patient demographic fields (name, address) are rendered without output encoding in multiprintcss_header(), and portal patients can write attacker-controlled HTML directly into patient_data by calling the PUT api/patient/:num endpoint, which bypasses the intended audit review workflow. Because the XSS fires in the clinician\u0027s authenticated session on the main OpenEMR interface, the attacker can access CSRF tokens, session data, and perform actions as the clinician \u2014 crossing the patient-to-clinician trust boundary. This issue has been patched in version 8.0.0.1."
    }
  ],
  "id": "CVE-2026-46518",
  "lastModified": "2026-06-11T18:23:27.613",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.7,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:N",
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        "type": "Secondary"
      },
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          "baseScore": 8.7,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
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          "privilegesRequired": "LOW",
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          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N",
          "version": "3.1"
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        "exploitabilityScore": 2.3,
        "impactScore": 5.8,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2026-06-10T00:16:53.960",
  "references": [
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      "source": "security-advisories@github.com",
      "tags": [
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        "Vendor Advisory"
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      "url": "https://github.com/openemr/openemr/security/advisories/GHSA-4gh4-q39r-45wf"
    },
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  "vulnStatus": "Analyzed",
  "weaknesses": [
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      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
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        {
          "lang": "en",
          "value": "CWE-862"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}


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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

  • 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 patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


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