CVE-2026-33348

March 26, 2026, 6:02 p.m.

8.7
High

Description

OpenEMR is a free and open source electronic health records and medical practice management application. Users with the `Notes - my encounters` role can fill Eye Exam forms in patient encounters. The answers to the form are displayed on the encounter page and in the visit history for the users with the same role. Versions prior to 8.0.0.3 have a stored cross-site scripting (XSS) vulnerability in the function to display the form answers, allowing any authenticated attacker with the specific role to insert arbitrary JavaScript into the system by entering malicious payloads to the form answers. The JavaScript code is later executed by any user with the form role when viewing the form answers in the patient encounter pages or visit history. Version 8.0.0.3 contains a patch.

Product(s) Impacted

Vendor Product Versions
Open-emr
  • Openemr
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a open-emr openemr / / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N

    View Vector String

Timeline

Published: March 25, 2026, 11:17 p.m.
Last Modified: March 26, 2026, 6:02 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.