CVE-2026-2912 Overview
A SQL injection vulnerability has been identified in Fabian Online Reviewer System version 1.0. The vulnerability exists in the file /system/system/students/assessments/results/studentresult-view.php, where the test_id parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject malicious SQL statements, potentially leading to unauthorized access to the database, data exfiltration, or manipulation of application data.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability without authentication to access, modify, or delete sensitive student assessment data stored in the application's database.
Affected Products
- Fabian Online Reviewer System 1.0
- Applications using the vulnerable studentresult-view.php component
- Code-projects Online Reviewer System implementations
Discovery Timeline
- 2026-02-22 - CVE-2026-2912 published to NVD
- 2026-02-23 - Last updated in NVD database
Technical Details for CVE-2026-2912
Vulnerability Analysis
This SQL injection vulnerability stems from improper handling of user-supplied input in the Online Reviewer System's student results viewing functionality. The test_id parameter passed to studentresult-view.php is directly incorporated into SQL queries without adequate input validation or parameterized query implementation. This allows attackers to manipulate the SQL query structure by injecting malicious payloads through the vulnerable parameter.
The vulnerability is remotely exploitable without requiring user interaction or authentication, making it accessible to any attacker who can reach the web application. Successful exploitation could result in unauthorized disclosure of confidential information (student records, grades, personal data), modification of database contents, or potential compromise of the underlying database server depending on the database configuration and privileges.
Root Cause
The root cause of CVE-2026-2912 is the failure to implement proper input sanitization and parameterized queries (prepared statements) when handling the test_id parameter. The application directly concatenates user input into SQL query strings, creating a classic SQL injection vulnerability (CWE-89). This is compounded by a general injection flaw (CWE-74) where untrusted data is not properly separated from command or query structures.
Attack Vector
The attack can be executed remotely over the network by crafting malicious HTTP requests containing SQL injection payloads in the test_id parameter. Attackers can target the vulnerable endpoint at /system/system/students/assessments/results/studentresult-view.php to:
- Extract sensitive data using UNION-based or blind SQL injection techniques
- Bypass authentication or authorization checks
- Modify or delete database records
- Potentially execute operating system commands if database permissions allow
The vulnerability has been publicly disclosed, and exploit details are available through the GitHub CVE Issue Discussion, increasing the risk of active exploitation.
Detection Methods for CVE-2026-2912
Indicators of Compromise
- Unusual or malformed requests to /system/system/students/assessments/results/studentresult-view.php containing SQL syntax in the test_id parameter
- Database error messages appearing in application responses or logs indicating malformed queries
- Unexpected database queries containing SQL keywords such as UNION, SELECT, OR 1=1, or comment sequences (--, #)
- Anomalous access patterns to student assessment data or bulk data retrieval
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in request parameters
- Enable application-level logging to capture all requests to the vulnerable endpoint and monitor for suspicious payloads
- Deploy database activity monitoring to identify unusual query patterns or unauthorized data access attempts
- Use intrusion detection systems (IDS) with SQL injection signature detection capabilities
Monitoring Recommendations
- Monitor web server access logs for requests containing URL-encoded SQL injection payloads targeting the test_id parameter
- Set up alerts for database errors or exceptions that may indicate exploitation attempts
- Review application audit logs regularly for unauthorized access to student assessment records
- Implement rate limiting on the vulnerable endpoint to slow potential automated exploitation
How to Mitigate CVE-2026-2912
Immediate Actions Required
- Restrict access to the vulnerable endpoint /system/system/students/assessments/results/studentresult-view.php until a patch is available
- Implement input validation to allow only numeric values for the test_id parameter
- Deploy a Web Application Firewall with SQL injection protection rules
- Review and audit the application codebase for similar injection vulnerabilities
Patch Information
As of the last update, no official vendor patch has been released for CVE-2026-2912. Monitor the Code Projects Resource Hub and VulDB entry for updates on remediation guidance. Organizations using this software should consider implementing the workarounds below or disabling the affected functionality until an official fix is available.
Workarounds
- Replace dynamic SQL queries with prepared statements using parameterized queries to prevent SQL injection
- Implement strict input validation for the test_id parameter, accepting only integer values
- Apply the principle of least privilege to database accounts used by the application to limit potential damage
- Consider deploying the application behind a reverse proxy with SQL injection filtering capabilities
# Mitigation example: Use prepared statements instead of direct query concatenation
# Replace vulnerable code with parameterized queries
# Vulnerable pattern (do not use):
# $query = "SELECT * FROM results WHERE test_id = " . $_GET['test_id'];
# Secure pattern using prepared statements:
$stmt = $pdo->prepare("SELECT * FROM results WHERE test_id = :test_id");
$stmt->bindParam(':test_id', $_GET['test_id'], PDO::PARAM_INT);
$stmt->execute();
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


