CVE-2026-103114 in openSIS-Classic
Summary
by MITRE • 09/30/2026
A vulnerability was identified in OS4ED openSIS-Classic up to 9.3. The impacted element is the function DBQuery_assignment of the file modules/grades/Assignments.php of the component Assignment Management Endpoint. The manipulation of the argument Tables leads to sql injection. It is possible to initiate the attack remotely. The exploit is publicly available and might be used. The project was informed of the problem early through an issue report but has not responded yet.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 09/30/2026
The vulnerability identified in OS4ED openSIS-Classic, specifically affecting versions up to 9.3, represents a critical security flaw within the Assignment Management Endpoint component. This system is widely used for educational institution management and student information processing, making its integrity paramount. The specific point of failure resides in the DBQuery_assignment function located within the modules/grades/Assignments.php file. This function handles database queries related to assignment data retrieval and manipulation. The root cause of this vulnerability lies in improper input validation and sanitization mechanisms when handling the Tables argument passed to the query builder or direct SQL execution routine. Because the application fails to adequately filter user-supplied input before incorporating it into a dynamic SQL statement, an attacker can inject malicious SQL code that alters the intended logic of the database operation.
This flaw is classified under Common Weakness Enumeration as CWE-89, which denotes Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. The technical mechanism allows for remote exploitation without requiring prior authentication in some configurations or with low privileges if the endpoint is accessible via standard web interfaces. An attacker can leverage publicly available exploits to interact directly with the backend database server. By manipulating the Tables parameter, a malicious actor can execute arbitrary commands such as extracting sensitive student records, modifying grades, bypassing access controls, or potentially achieving remote code execution depending on the underlying database configuration and privileges granted to the application's database user account. The presence of public exploits significantly lowers the barrier for entry, enabling less sophisticated threat actors to compromise the system effectively.
The operational impact of this vulnerability is severe given the nature of the data processed by openSIS-Classic. Educational institutions store highly sensitive personally identifiable information including student names, addresses, social security numbers or national ID equivalents, academic histories, and financial records. A successful SQL injection attack could lead to a massive data breach exposing these details to public view or theft for identity fraud purposes. Furthermore, the ability to modify assignment grades undermines the integrity of the educational assessment process, potentially leading to legal liabilities and loss of institutional reputation. Since the project maintainers have not yet responded to early issue reports regarding this problem, users are currently operating with an unpatched risk vector that remains active in production environments worldwide.
Mitigation strategies must be implemented immediately by system administrators since a vendor patch is unavailable. The primary technical remediation involves applying strict input validation and parameterized queries within the application codebase for the DBQuery_assignment function. Developers should ensure that all dynamic SQL components are constructed using prepared statements with bound parameters rather than string concatenation, which neutralizes injection attempts regardless of the content of the Tables argument. Additionally, implementing a Web Application Firewall can provide an interim layer of defense by filtering out known malicious payloads associated with SQL injection patterns before they reach the application logic. Access controls should also be reviewed to ensure that sensitive endpoints are not exposed unnecessarily and require strong authentication mechanisms where applicable. Organizations running affected versions must prioritize upgrading or patching this specific module as part of their emergency security response protocols to prevent exploitation by automated scanning tools and malicious actors leveraging existing public exploits.