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CVE Vulnerability Database

CVE-2026-4632: Online Enrollment System SQLi Vulnerability

CVE-2026-4632 is a SQL injection vulnerability in itsourcecode Online Enrollment System 1.0 affecting the Parameter Handler. Attackers can exploit this remotely via the Name argument. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

CVE-2026-4632 Overview

A SQL Injection vulnerability has been identified in itsourcecode Online Enrollment System 1.0. This vulnerability affects the Parameter Handler component within the file /sms/user/index.php?view=add. By manipulating the Name argument, an attacker can inject malicious SQL statements. The attack can be performed remotely without authentication, and exploit details have been made publicly available.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or extraction of sensitive enrollment information from the Online Enrollment System.

Affected Products

  • itsourcecode Online Enrollment System 1.0
  • Component: Parameter Handler (/sms/user/index.php?view=add)
  • Affected Parameter: Name argument

Discovery Timeline

  • 2026-03-24 - CVE-2026-4632 published to NVD
  • 2026-03-24 - Last updated in NVD database

Technical Details for CVE-2026-4632

Vulnerability Analysis

This SQL Injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the itsourcecode Online Enrollment System's user management functionality. The vulnerable endpoint /sms/user/index.php?view=add fails to properly sanitize user-supplied input in the Name parameter before incorporating it into SQL queries.

The vulnerability is network-accessible and requires no authentication or user interaction to exploit. An attacker can remotely submit specially crafted input through the Name parameter to manipulate the underlying database queries. This can result in unauthorized read access to database contents, modification of existing data, or potential extraction of sensitive enrollment records.

Root Cause

The root cause of this vulnerability is improper input validation and lack of parameterized queries in the Parameter Handler component. The application directly concatenates user-supplied input from the Name argument into SQL statements without proper sanitization or use of prepared statements, allowing attackers to inject arbitrary SQL commands.

Attack Vector

The attack vector is network-based, allowing remote exploitation. An attacker can target the vulnerable endpoint at /sms/user/index.php?view=add and inject SQL payloads through the Name parameter. Since the exploit has been publicly disclosed, attackers can leverage this information to craft injection payloads that bypass authentication, extract database contents, or modify enrollment data.

The vulnerability mechanism involves manipulating the Name parameter to include SQL meta-characters and statements. When the application processes this input without proper sanitization, the injected SQL code executes within the context of the database query. For technical details, refer to the GitHub Issue Discussion and VulDB #352499.

Detection Methods for CVE-2026-4632

Indicators of Compromise

  • Unusual or malformed HTTP requests targeting /sms/user/index.php?view=add with suspicious Name parameter values
  • Database error messages appearing in application logs indicating SQL syntax errors
  • Unexpected database queries containing SQL keywords like UNION, SELECT, DROP, or comment sequences (--, /*)
  • Evidence of data exfiltration or unauthorized database access in audit logs

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the Name parameter
  • Monitor web server access logs for requests to /sms/user/index.php containing SQL injection signatures
  • Deploy database activity monitoring to detect anomalous query patterns or unauthorized data access
  • Enable application-level logging to capture input validation failures and suspicious parameter values

Monitoring Recommendations

  • Configure alerting for repeated requests to the vulnerable endpoint with varying Name parameter payloads
  • Monitor database logs for queries executed with unexpected syntax or privilege escalation attempts
  • Establish baseline traffic patterns for the Online Enrollment System and alert on deviations
  • Review authentication logs for evidence of bypass attempts following SQL injection exploitation

How to Mitigate CVE-2026-4632

Immediate Actions Required

  • Restrict access to the vulnerable endpoint /sms/user/index.php?view=add using firewall rules or application access controls
  • Implement input validation to reject Name parameter values containing SQL meta-characters
  • Deploy a Web Application Firewall with SQL injection protection rules
  • Audit database accounts used by the application and apply principle of least privilege

Patch Information

No official vendor patch has been identified in the available CVE data. Organizations should monitor IT Source Code for security updates. In the absence of an official patch, implementing the workarounds below is strongly recommended.

Additional technical details and vulnerability tracking information are available at:

Workarounds

  • Implement prepared statements or parameterized queries for all database interactions in the affected component
  • Apply strict input validation using allowlists for the Name parameter, rejecting special characters and SQL keywords
  • Deploy network segmentation to limit database access only from authorized application servers
  • Consider disabling the affected user addition functionality until a proper fix can be implemented
bash
# Configuration example - Apache mod_security rule to block SQL injection attempts
SecRule ARGS:Name "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in Name parameter',\
    log,\
    auditlog"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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