CVE-2025-67830 in Mura
Summary
by MITRE • 03/18/2026
Mura before 10.1.14 allows beanFeed.cfc getQuery sortby SQL injection.
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Analysis
by VulDB Data Team • 03/24/2026
The vulnerability identified as CVE-2025-67830 affects Mura CMS versions prior to 10.1.14 and represents a critical SQL injection flaw within the beanFeed.cfc component's getQuery method. This vulnerability specifically manifests when the sortby parameter is processed without adequate input validation or sanitization, creating an exploitable path for malicious actors to manipulate database queries through crafted input. The affected component appears to be part of Mura's content management infrastructure that handles data retrieval operations, making it a potential entry point for attackers seeking to compromise the underlying database system. The vulnerability falls under the category of CWE-89 SQL Injection as defined in the Common Weakness Enumeration catalog, which classifies this as a severe issue that can lead to unauthorized data access, modification, or deletion.
The technical implementation of this vulnerability occurs when user-supplied data flows directly into database query construction without proper parameterization or input filtering. The sortby parameter in the getQuery method likely accepts arbitrary field names for database sorting operations, but fails to validate or sanitize the input before incorporating it into SQL statements. Attackers can exploit this by injecting malicious SQL fragments through the sortby parameter, potentially gaining access to sensitive data or executing unauthorized database operations. This flaw aligns with ATT&CK technique T1213.002 Data from Information Repositories, as it enables adversaries to extract information from database systems. The vulnerability's impact extends beyond simple data theft, as successful exploitation could lead to complete database compromise, allowing attackers to modify or delete content, escalate privileges, or establish persistent access through database backdoors.
The operational impact of CVE-2025-67830 is substantial for organizations running affected Mura CMS versions, as it provides attackers with a direct path to database manipulation without requiring elevated privileges or complex exploitation techniques. The vulnerability affects the core content delivery functionality of Mura CMS, potentially compromising all content managed through the system, including user data, configuration settings, and business-critical information. Organizations utilizing this CMS version may face regulatory compliance violations, data breaches, and reputational damage if exploited successfully. The vulnerability's exploitation requires minimal technical skill, making it particularly dangerous as it can be leveraged by attackers with basic SQL injection knowledge. This flaw also represents a significant concern for web application security posture, as it demonstrates inadequate input validation practices within the application's data access layer. The vulnerability's presence in the beanFeed.cfc component suggests that content syndication and data feed functionality may be particularly at risk, potentially affecting RSS feeds, API responses, and other data export mechanisms that rely on dynamic query construction.
Mitigation strategies for CVE-2025-67830 should prioritize immediate patching of affected Mura CMS installations to version 10.1.14 or later, which contains the necessary security fixes. Organizations should also implement input validation measures to sanitize all user-supplied parameters before processing, particularly those used in dynamic SQL query construction. The implementation of parameterized queries or prepared statements should be enforced throughout the application's data access layer to prevent direct injection of user input into SQL commands. Network-level protections including web application firewalls and intrusion detection systems should be configured to monitor for suspicious SQL injection patterns targeting the affected component. Security teams should conduct comprehensive vulnerability assessments to identify any other components that may be susceptible to similar input validation flaws. Additionally, regular security testing including automated scanning and manual penetration testing should be performed to ensure ongoing protection against similar vulnerabilities in the application's codebase. Organizations should also implement proper access controls and database privilege management to limit the potential impact of successful exploitation, ensuring that database accounts used by the application have minimal required permissions.