CVE-2025-64366: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Stylemix MasterStudy LMS
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Stylemix MasterStudy LMS masterstudy-lms-learning-management-system allows Blind SQL Injection.This issue affects MasterStudy LMS: from n/a through <= 3.6.27.
AI Analysis
Technical Summary
CVE-2025-64366 is an SQL Injection vulnerability classified as 'Improper Neutralization of Special Elements used in an SQL Command' affecting the Stylemix MasterStudy Learning Management System (LMS) up to version 3.6.27. This vulnerability enables Blind SQL Injection attacks, where an attacker can infer database information by sending crafted SQL queries and observing application behavior or responses without direct data output. The vulnerability requires the attacker to have low-level privileges (PR:L) but does not require user interaction (UI:N), and can be exploited remotely over the network (AV:N). The CVSS 3.1 base score is 7.6, indicating high severity, with impact primarily on confidentiality (C:H), moderate impact on integrity (I:L), and availability (A:L). The flaw arises from insufficient sanitization or neutralization of special characters in SQL commands, allowing attackers to manipulate backend database queries. Although no public exploits are currently known, the vulnerability's characteristics suggest that attackers with legitimate access could extract sensitive information, modify data partially, or cause service disruptions. The lack of available patches at the time of disclosure necessitates immediate risk mitigation. The vulnerability affects educational institutions and organizations using MasterStudy LMS for e-learning, potentially exposing student data, course content, and administrative information to compromise.
Potential Impact
For European organizations, especially educational institutions and e-learning providers using MasterStudy LMS, this vulnerability poses a significant risk to the confidentiality of sensitive data such as student records, grades, and personal information. The ability to perform Blind SQL Injection means attackers can systematically extract data without direct output, making detection harder. Partial integrity loss could lead to unauthorized modification of course content or user data, undermining trust and compliance with data protection regulations like GDPR. Availability impact, though lower, could disrupt learning services, affecting operational continuity. The requirement for low-level authentication reduces the attack surface but does not eliminate risk, as insider threats or compromised credentials could be leveraged. The absence of known exploits currently provides a window for proactive defense, but the high severity score indicates that exploitation could have serious consequences for data privacy and service reliability in the European education sector.
Mitigation Recommendations
1. Monitor Stylemix and MasterStudy LMS vendor channels closely for official patches and apply them immediately upon release. 2. Until patches are available, restrict LMS user privileges to the minimum necessary, especially limiting database access rights to prevent unauthorized query execution. 3. Deploy Web Application Firewalls (WAFs) with tailored SQL Injection detection and prevention rules to block suspicious query patterns targeting the LMS. 4. Conduct regular security audits and code reviews focusing on input validation and sanitization mechanisms within the LMS environment. 5. Implement strict authentication and session management controls to reduce risk from compromised credentials. 6. Enable detailed logging and monitoring of database queries and application logs to detect anomalous activities indicative of SQL Injection attempts. 7. Educate LMS administrators and users about phishing and credential security to prevent account compromise. 8. Consider network segmentation to isolate LMS systems from critical infrastructure to limit lateral movement in case of exploitation.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Sweden
CVE-2025-64366: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Stylemix MasterStudy LMS
Description
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Stylemix MasterStudy LMS masterstudy-lms-learning-management-system allows Blind SQL Injection.This issue affects MasterStudy LMS: from n/a through <= 3.6.27.
AI-Powered Analysis
Technical Analysis
CVE-2025-64366 is an SQL Injection vulnerability classified as 'Improper Neutralization of Special Elements used in an SQL Command' affecting the Stylemix MasterStudy Learning Management System (LMS) up to version 3.6.27. This vulnerability enables Blind SQL Injection attacks, where an attacker can infer database information by sending crafted SQL queries and observing application behavior or responses without direct data output. The vulnerability requires the attacker to have low-level privileges (PR:L) but does not require user interaction (UI:N), and can be exploited remotely over the network (AV:N). The CVSS 3.1 base score is 7.6, indicating high severity, with impact primarily on confidentiality (C:H), moderate impact on integrity (I:L), and availability (A:L). The flaw arises from insufficient sanitization or neutralization of special characters in SQL commands, allowing attackers to manipulate backend database queries. Although no public exploits are currently known, the vulnerability's characteristics suggest that attackers with legitimate access could extract sensitive information, modify data partially, or cause service disruptions. The lack of available patches at the time of disclosure necessitates immediate risk mitigation. The vulnerability affects educational institutions and organizations using MasterStudy LMS for e-learning, potentially exposing student data, course content, and administrative information to compromise.
Potential Impact
For European organizations, especially educational institutions and e-learning providers using MasterStudy LMS, this vulnerability poses a significant risk to the confidentiality of sensitive data such as student records, grades, and personal information. The ability to perform Blind SQL Injection means attackers can systematically extract data without direct output, making detection harder. Partial integrity loss could lead to unauthorized modification of course content or user data, undermining trust and compliance with data protection regulations like GDPR. Availability impact, though lower, could disrupt learning services, affecting operational continuity. The requirement for low-level authentication reduces the attack surface but does not eliminate risk, as insider threats or compromised credentials could be leveraged. The absence of known exploits currently provides a window for proactive defense, but the high severity score indicates that exploitation could have serious consequences for data privacy and service reliability in the European education sector.
Mitigation Recommendations
1. Monitor Stylemix and MasterStudy LMS vendor channels closely for official patches and apply them immediately upon release. 2. Until patches are available, restrict LMS user privileges to the minimum necessary, especially limiting database access rights to prevent unauthorized query execution. 3. Deploy Web Application Firewalls (WAFs) with tailored SQL Injection detection and prevention rules to block suspicious query patterns targeting the LMS. 4. Conduct regular security audits and code reviews focusing on input validation and sanitization mechanisms within the LMS environment. 5. Implement strict authentication and session management controls to reduce risk from compromised credentials. 6. Enable detailed logging and monitoring of database queries and application logs to detect anomalous activities indicative of SQL Injection attempts. 7. Educate LMS administrators and users about phishing and credential security to prevent account compromise. 8. Consider network segmentation to isolate LMS systems from critical infrastructure to limit lateral movement in case of exploitation.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-10-31T11:23:15.210Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6904a350479ed964d8ea1f0d
Added to database: 10/31/2025, 11:53:52 AM
Last enriched: 1/21/2026, 12:06:43 AM
Last updated: 2/5/2026, 10:53:27 AM
Views: 77
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