CVE-2025-12928: Online Job Search Engine SQLi Vulnerability

CVE-2025-12928 Overview

A SQL injection vulnerability has been identified in Fabian Online Job Search Engine version 1.0. This vulnerability affects the /login.php file where improper handling of the username and phone parameters allows attackers to inject malicious SQL statements. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to the application's database and compromising sensitive user information.

Critical Impact

Remote attackers can exploit this SQL injection flaw to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially gain unauthorized access to the underlying system.

Affected Products

• Fabian Online Job Search Engine 1.0

Discovery Timeline

• 2025-11-10 - CVE-2025-12928 published to NVD
• 2025-11-17 - Last updated in NVD database

Technical Details for CVE-2025-12928

Vulnerability Analysis

This SQL injection vulnerability exists in the login functionality of the Online Job Search Engine application. The /login.php file fails to properly sanitize user-supplied input in the username and phone parameters before incorporating them into SQL queries. This allows an attacker to manipulate the database query logic by injecting specially crafted SQL statements through these input fields.

The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection flaws where user input is not properly validated or sanitized before being used in dynamic queries. An exploit for this vulnerability has been publicly disclosed, increasing the risk of widespread exploitation.

Root Cause

The root cause of this vulnerability is the failure to implement proper input validation and parameterized queries (prepared statements) in the login functionality. The application directly concatenates user input into SQL query strings without sanitization, allowing special SQL characters and commands to be interpreted as part of the query rather than as literal data values. This is a fundamental secure coding oversight that exposes the application to classic SQL injection attacks.

Attack Vector

The attack can be executed remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious input containing SQL syntax for either the username or phone parameter in the login form. When submitted, this input is processed by the backend PHP code and executed against the database, allowing the attacker to:

• Bypass authentication mechanisms
• Extract sensitive data from the database (usernames, passwords, personal information)
• Modify or delete database records
• Potentially escalate to command execution depending on database configuration

The vulnerability mechanism involves direct string concatenation of user input into SQL queries without proper sanitization. In a typical vulnerable implementation, user-supplied values are inserted directly into the query string, allowing special SQL characters like single quotes to break out of the intended query context and inject arbitrary SQL commands. For detailed technical analysis and proof of concept, refer to the GitHub CVE Discovery documentation.

Detection Methods for CVE-2025-12928

Indicators of Compromise

• Unusual or malformed login attempts containing SQL syntax characters such as single quotes ('), double dashes (--), or OR 1=1 patterns in the username or phone fields
• Unexpected database queries or error messages in application logs indicating SQL syntax errors
• Anomalous database access patterns or data exfiltration activities
• Multiple failed login attempts followed by successful authentication from the same source

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests targeting /login.php
• Configure intrusion detection systems (IDS) to alert on SQL injection signatures in network traffic
• Enable detailed logging for the web application and database to capture suspicious query patterns
• Deploy application-level monitoring to detect parameter tampering and injection attempts

Monitoring Recommendations

• Monitor web server access logs for requests to /login.php containing suspicious characters or SQL keywords
• Set up alerts for database errors that may indicate injection attempts
• Track authentication success/failure ratios for anomaly detection
• Review database query logs for unexpected SELECT, UNION, or data extraction operations

How to Mitigate CVE-2025-12928

Immediate Actions Required

• Restrict access to the Online Job Search Engine application until a patch is applied or workarounds are implemented
• Implement input validation to reject requests containing SQL injection patterns
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
• Review and audit all user accounts and database records for signs of compromise

Patch Information

No official vendor patch has been released at this time. The application is a code-projects resource, and users should monitor the Code Projects Resource page for updates. Organizations using this application should consider implementing the code-level fixes described in the workarounds section or migrating to a more secure alternative.

Workarounds

• Replace dynamic SQL queries with parameterized queries (prepared statements) using PDO or MySQLi in PHP
• Implement strict input validation to allow only expected characters in the username and phone fields (alphanumeric characters and specific symbols only)
• Apply the principle of least privilege to database accounts used by the application
• Enable SQL logging and monitoring to detect exploitation attempts
• Consider placing the application behind a reverse proxy with SQL injection filtering capabilities

# Recommended secure implementation using prepared statements
# Replace vulnerable code with parameterized queries:

$stmt = $pdo->prepare("SELECT * FROM users WHERE username = :username AND phone = :phone");
$stmt->execute(['username' => $username, 'phone' => $phone]);
$result = $stmt->fetch();

# Additionally, implement input validation before database queries:
$username = filter_input(INPUT_POST, 'username', FILTER_SANITIZE_STRING);
$phone = filter_input(INPUT_POST, 'phone', FILTER_SANITIZE_STRING);