CVE-2026-2196: Fabian Online Reviewer System SQLi Flaw

CVE-2026-2196 Overview

A SQL injection vulnerability has been identified in code-projects Online Reviewer System version 1.0. This issue affects the file /system/system/admins/assessments/pretest/exam-update.php where improper handling of the test_id argument allows attackers to inject malicious SQL commands. The attack can be performed remotely without authentication, and exploit details have been made public.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

• Fabian Online Reviewer System 1.0
• code-projects Online Reviewer System 1.0

Discovery Timeline

• 2026-02-09 - CVE-2026-2196 published to NVD
• 2026-02-10 - Last updated in NVD database

Technical Details for CVE-2026-2196

Vulnerability Analysis

This SQL injection vulnerability exists in the Online Reviewer System's exam update functionality. The vulnerable endpoint at /system/system/admins/assessments/pretest/exam-update.php fails to properly sanitize the test_id parameter before incorporating it into SQL queries. This allows an attacker to inject arbitrary SQL commands through crafted input values.

The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). These classifications indicate that user-controlled input is being directly embedded into SQL statements without proper validation or parameterization.

Root Cause

The root cause of this vulnerability is the lack of input validation and the absence of parameterized queries or prepared statements when processing the test_id argument. The application directly concatenates user-supplied input into SQL query strings, allowing attackers to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack vector is network-based, meaning the vulnerability can be exploited remotely. An attacker can craft malicious HTTP requests to the vulnerable endpoint with specially formatted test_id parameter values containing SQL syntax. Since the application does not require authentication for this endpoint, any remote attacker with network access can attempt exploitation.

The exploitation technique involves injecting SQL metacharacters and commands into the test_id parameter. Common attack payloads may include UNION-based injection to extract data from other tables, boolean-based blind injection to infer database contents, or time-based blind injection techniques. For detailed technical information about the vulnerability mechanism, refer to the GitHub CVE Issue Discussion.

Detection Methods for CVE-2026-2196

Indicators of Compromise

• Unusual HTTP requests to /system/system/admins/assessments/pretest/exam-update.php containing SQL keywords such as UNION, SELECT, INSERT, UPDATE, DELETE, or DROP
• Web server logs showing requests with encoded SQL injection patterns in the test_id parameter
• Database query logs containing unexpected or malformed SQL syntax originating from the exam-update functionality
• Error messages in application logs indicating SQL syntax errors or database exceptions

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the vulnerable endpoint
• Deploy application-level monitoring to identify requests containing SQL metacharacters in input parameters
• Configure database activity monitoring to alert on unusual query patterns or unauthorized data access attempts
• Utilize SentinelOne Singularity Platform to detect exploitation attempts and post-exploitation behavior

Monitoring Recommendations

• Enable detailed logging for all HTTP requests to the affected PHP file and review logs regularly for suspicious activity
• Monitor database query execution times and patterns for anomalies that may indicate time-based SQL injection attacks
• Set up alerts for any database errors or exceptions related to the exam-update functionality
• Implement intrusion detection system rules to flag SQL injection attempt signatures

How to Mitigate CVE-2026-2196

Immediate Actions Required

• Restrict network access to the Online Reviewer System to trusted networks or IP addresses until patching is complete
• Implement input validation on the test_id parameter to accept only numeric values
• Deploy WAF rules to block requests containing SQL injection patterns to the vulnerable endpoint
• Review database permissions to ensure the application uses least-privilege database accounts

Patch Information

No official vendor patch has been released at this time. Organizations using the affected software should contact the vendor or implement the workarounds below. Monitor the Code Projects Resource for any security updates. Additional vulnerability details are available at VulDB #344899.

Workarounds

• Implement prepared statements or parameterized queries in the exam-update.php file to prevent SQL injection
• Add server-side input validation to ensure the test_id parameter contains only expected numeric values
• Deploy a reverse proxy or WAF with SQL injection detection capabilities in front of the application
• Consider disabling or removing the vulnerable endpoint if the exam-update functionality is not required

# Example: Block access to vulnerable endpoint via Apache .htaccess
<Files "exam-update.php">
    Order Deny,Allow
    Deny from all
    # Allow only from trusted admin IP
    Allow from 192.168.1.100
</Files>