CVE-2026-3767 Overview
A SQL Injection vulnerability has been identified in Angeljudesuarez College Management System version 1.0. The vulnerability exists in the /admin/teacher-attendance.php file, where the teacher_id parameter fails to properly sanitize or validate user input before being used in database queries. This flaw allows remote authenticated attackers to inject malicious SQL statements, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
Remote attackers with low privileges can exploit this SQL Injection vulnerability to manipulate database queries, potentially exposing sensitive student and faculty information, modifying academic records, or compromising the entire college management system database.
Affected Products
- Angeljudesuarez College Management System 1.0
- ItSourceCode-distributed College Management System implementations
Discovery Timeline
- 2026-03-08 - CVE-2026-3767 published to NVD
- 2026-03-10 - Last updated in NVD database
Technical Details for CVE-2026-3767
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) stems from improper input validation in the teacher attendance management functionality. The affected endpoint at /admin/teacher-attendance.php accepts a teacher_id parameter that is directly incorporated into SQL queries without proper sanitization or parameterized query implementation. This injection vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
The vulnerability can be exploited remotely by authenticated users with low-level privileges, requiring no user interaction. Successful exploitation allows attackers to read, modify, or delete database contents, potentially compromising confidentiality, integrity, and availability of the college management system data.
Root Cause
The root cause of this vulnerability is the failure to implement proper input validation and sanitization for the teacher_id parameter in the teacher attendance functionality. The application directly concatenates user-supplied input into SQL query strings instead of using prepared statements or parameterized queries. This fundamental coding flaw allows specially crafted input containing SQL metacharacters to alter the intended query logic.
Attack Vector
The attack can be launched remotely over the network by any authenticated user with access to the admin teacher attendance functionality. An attacker would craft a malicious HTTP request to /admin/teacher-attendance.php containing SQL injection payloads in the teacher_id parameter. Since the exploit methodology has been disclosed publicly, attackers can leverage existing techniques to enumerate database contents, extract sensitive information, or perform administrative operations on the underlying database.
The network-based attack vector combined with low complexity requirements makes this vulnerability particularly accessible to attackers. Exploitation requires only basic authentication privileges to the administrative interface, after which SQL injection payloads can be injected through standard HTTP requests.
Detection Methods for CVE-2026-3767
Indicators of Compromise
- Unusual or malformed requests to /admin/teacher-attendance.php containing SQL syntax characters such as single quotes, semicolons, or SQL keywords
- Database error messages in application logs indicating SQL syntax errors or unexpected query behavior
- Abnormal database query patterns including UNION SELECT statements, time-based delays, or out-of-band data exfiltration attempts
- Unexpected changes to teacher attendance records or database schema modifications
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the teacher_id parameter
- Implement database activity monitoring to identify anomalous query patterns or privilege escalation attempts
- Review web server access logs for requests containing SQL injection payloads targeting /admin/teacher-attendance.php
- Enable application-level logging to capture and alert on input validation failures
Monitoring Recommendations
- Monitor authentication logs for unusual login patterns followed by requests to the vulnerable endpoint
- Configure database audit logging to track all queries executed against sensitive tables
- Set up real-time alerting for database errors that may indicate exploitation attempts
- Implement network traffic analysis to identify potential data exfiltration following successful injection
How to Mitigate CVE-2026-3767
Immediate Actions Required
- Restrict access to the /admin/teacher-attendance.php endpoint to only trusted administrative users
- Implement network-level access controls to limit exposure of the administrative interface
- Deploy a Web Application Firewall with SQL injection detection rules as a temporary protective measure
- Review database user permissions and apply principle of least privilege
Patch Information
No official vendor patch has been released at this time. The vulnerability was reported through the GitHub Issue Discussion and documented in VulDB #349745. Organizations using the affected College Management System should contact the vendor or implement manual code fixes to address the SQL injection vulnerability. For additional context, refer to the ItSourceCode Homepage.
Workarounds
- Implement prepared statements with parameterized queries in the /admin/teacher-attendance.php file to prevent SQL injection
- Add server-side input validation to ensure the teacher_id parameter contains only expected numeric values
- Deploy application-layer filtering to reject requests containing SQL metacharacters in the affected parameter
- Consider temporarily disabling the teacher attendance functionality until a proper fix can be implemented
# Example: Apache mod_security rule to block SQL injection attempts
SecRule ARGS:teacher_id "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt detected in teacher_id parameter',\
tag:'CVE-2026-3767'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


