Insecure Direct Object Reference in OpenEMR Patient Records

OpenEMR before 8.3.0 contains an insecure direct object reference vulnerability in many encounter-form view and save endpoints that lack patient/encounter ownership checks. Authenticated clinical users can enumerate sequential form id values in requests such as soap/view.php and save.php to read and overwrite other patients' clinical records.

Casky was already ahead

This CVE exploits attack patterns that Casky's 283matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

OpenEMR versions before 8.3.0 suffer from an insecure direct object reference (IDOR) vulnerability that allows authenticated clinical users to access and modify other patients' medical records. By simply manipulating sequential form IDs in encounter endpoints like soap/view.php and save.php, attackers can enumerate and retrieve sensitive protected health information (PHI) belonging to arbitrary patients, or worse, alter their clinical records. This vulnerability is particularly dangerous in healthcare settings because it bypasses the fundamental principle of least privilege—clinical staff should only access records relevant to their assigned patients. The lack of proper ownership validation means any authenticated user, regardless of their role or assigned patient roster, can perform unauthorized data access and modification, creating significant compliance violations under HIPAA, state privacy laws, and institutional security policies.

Casky's 283 matching skills detect the attack patterns underlying this vulnerability by mapping to MITRE ATT&ACK techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Using Claude's extended reasoning, the platform identifies suspicious patterns such as: sequential or anomalous form ID requests from a single user across multiple patient records, rapid enumeration of encounter IDs outside their assigned patient population, and modification requests to records where the requesting user lacks documented authorization. Practitioners would observe findings that highlight unauthorized access attempts to encounter endpoints, anomalous cross-patient data queries, and write operations to records with mismatched user-patient relationships. These detections help security teams distinguish between normal clinical workflow and potential exploitation, enabling rapid response before patient records are compromised or altered.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-124459.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

identity access management · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

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