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AI Finds 38 Security Flaws in Electronic Health Record Platform

ID: afd56d72-c780-5067-b7ff-537ea943e054

STIX ID: report--afd56d72-c780-5067-b7ff-537ea943e054

Feed Name: Dark Reading

Threat Score
78/100

Date Published: 2026-04-29

Date Updated: 2026-04-29

Author: Jai Vijayan

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Aisle's AI-driven analysis uncovered 38 previously undisclosed vulnerabilities in OpenEMR—ranging from XSS and missing authorization checks to critical SQL injection and path traversal flaws—some of which (notably CVE-2026-24908) could enable large-scale PHI exfiltration and remote code execution; all issues were reported and patched, and OpenEMR has integrated Aisle's scanner into its code-review process.

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