AI uncovers 38 vulnerabilities in largest open source medical record software
An AI-powered security analysis by AISLE identified 38 vulnerabilities in OpenEMR, a widely used open-source electronic health record system, including critical flaws like SQL injection and authorization bypasses. The OpenEMR team collaborated with AISLE to patch most issues within weeks, with fixes rolled out starting in February 2026. The partnership has now integrated AI-driven code analysis into OpenEMR’s development process to catch vulnerabilities earlier. The findings highlight growing cybersecurity risks in healthcare software as digitization outpaces security measures.
- ▪AISLE's AI analysis uncovered 38 CVEs in OpenEMR, more than half of the project's advisories in Q1 2026.
- ▪Critical vulnerabilities included SQL injection flaws that could enable full database compromise and remote code execution.
- ▪OpenEMR, used by over 100,000 providers, is ONC-certified and serves more than 200 million patients globally.
- ▪The OpenEMR Foundation partnered with AISLE to integrate real-time AI-powered vulnerability detection into its code review process.
- ▪Many vulnerabilities involved missing authorization checks, allowing unauthorized access to patient data and administrative functions.
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AISLE Discovers 38 CVEs in Healthcare Software Used by 100,000 Medical ProvidersAuthorStanislav FortDate PublishedApril 28, 2026On this pageThe Findings at a GlanceNotable FindingsCVE-2026-24908: SQL Injection in Patient REST API Sort ParameterCVE-2026-23627: SQL Injection in Immunization Search/ReportCVE-2026-24487: FHIR Patient Compartment Bypass in CareTeamAutonomous Issue FixesA Partnership for Patient SafetyFrom Disclosure to Prevention with AISLEFull Advisory ListMissing or incorrect authorizationCross-site scriptingSQL injection, path traversal, and session flawsHealthcare is digitizing faster than it is being secured.
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