OpenMRS Template Injection Enables Arbitrary Code Execution

OpenMRS is an open source electronic medical record system platform. From 2.7.0 to before 2.7.9 and 2.8.6, the ConceptReferenceRangeUtility.evaluateCriteria() method in OpenMRS Core evaluates database-stored criteria strings as Apache Velocity templates without any sandbox configuration. The VelocityEngine is initialized with only logging properties and noSecureUberspector, leaving the default UberspectImpl in place, which allows unrestricted Java reflection through template expressions. A user with the Manage Concepts privilege can store a malicious Velocity template expression in a concept's reference range criteria field. This payload is then executed automatically whenever a user or API call validates an observation against the affected concept. The Velocity context exposes $patient (the Person / Patient object), $obs (the Obs object), and $fn (the ConceptReferenceRangeUtility instance with access to the full OpenMRS service layer). This vulnerability is fixed in 2.7.9 and 2.8.6.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

OpenMRS versions 2.7.0-2.7.8 and 2.8.0-2.8.5 contain a critical template injection vulnerability in the ConceptReferenceRangeUtility.evaluateCriteria() method. The flaw stems from unsanitized evaluation of database-stored criteria strings as Apache Velocity templates without proper sandbox restrictions. The VelocityEngine lacks the SecureUberspector configuration, leaving the default UberspectImpl in place—this permits unrestricted Java reflection through template expressions, allowing attackers to break out of template constraints and execute arbitrary code. This impacts any OpenMRS deployment where users can influence concept reference range criteria values, potentially affecting healthcare organizations worldwide that depend on this widely-used electronic medical record system.

Casky's 301 mapped security skills detect the attack patterns underlying this CVE by analyzing two critical MITRE ATT&CK techniques: TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky's Claude-powered analysis would identify reconnaissance indicators such as requests probing template injection payloads in concept reference range APIs, followed by exploitation attempts using Velocity template syntax with Java reflection calls. The platform's extended reasoning capabilities would flag suspicious database modifications to criteria fields containing template expressions, detection of UberspectImpl instantiation without SecureUberspector configuration in logs, and successful code execution post-exploitation. Security teams would receive findings highlighting the difference between legitimate criteria strings and malicious template payloads, enabling rapid isolation of compromised OpenMRS instances and investigation of affected patient data access.

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301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-41258.

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threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

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