OpenEMR is a free and open source electronic health records and medical practice management application. Prior to version 8.0.0, a stored cross-site scripting vulnerability in the GAD-7 anxiety assessment form allows authenticated users with clinician privileges to inject malicious JavaScript that executes when other users view the form. This enables session hijacking, account takeover, and privilege escalation from clinician to administrator. Version 8.0.0 fixes the issue.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.7, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), for affected systems. Impacting 1 product from open-emr organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-02-25T02:16:21.707
2026-02-25T17:01:10.910
Analyzed
CVSSv3.1: 8.7 (HIGH)
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For open-emr's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.