CVE-2024-12927: Attendance Tracking System SQL Injection

CVE-2024-12927 Overview

A critical SQL injection vulnerability has been discovered in 1000 Projects Attendance Tracking Management System version 1.0. The vulnerability exists in the /faculty/check_faculty_login.php file, where the faculty_emailid parameter is insufficiently sanitized before being used in database queries. This flaw allows remote attackers to inject malicious SQL statements, potentially compromising the underlying database and the sensitive attendance data it contains.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability without authentication to extract, modify, or delete sensitive faculty and student attendance data. The public availability of exploitation details increases the risk of active exploitation.

Affected Products

• 1000 Projects Attendance Tracking Management System 1.0

Discovery Timeline

• 2024-12-25 - CVE-2024-12927 published to NVD
• 2025-04-17 - Last updated in NVD database

Technical Details for CVE-2024-12927

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) occurs due to improper neutralization of special elements used in SQL commands. The affected component is the faculty login authentication mechanism located at /faculty/check_faculty_login.php. When processing the faculty_emailid parameter, the application fails to properly validate or sanitize user input before incorporating it into SQL queries.

The vulnerability is classified as an injection flaw (CWE-74), specifically SQL injection, which allows attackers to manipulate the structure of database queries. Since the vulnerable endpoint is part of the authentication system, successful exploitation could allow attackers to bypass authentication entirely, extract sensitive data from the database, or potentially execute administrative operations depending on database permissions.

Root Cause

The root cause of this vulnerability is improper input validation in the faculty login functionality. The faculty_emailid parameter is directly concatenated or interpolated into SQL queries without adequate sanitization, prepared statements, or parameterized queries. This allows specially crafted input containing SQL syntax to alter the intended query logic.

Attack Vector

The attack can be launched remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests to the /faculty/check_faculty_login.php endpoint with SQL injection payloads in the faculty_emailid parameter. The exploit has been publicly disclosed, making it accessible to attackers with varying skill levels.

Exploitation typically involves sending crafted input such as SQL escape characters and query manipulation syntax through the faculty email field. Successful exploitation could enable authentication bypass, unauthorized data access, or database modification depending on the application's database configuration and permissions.

Detection Methods for CVE-2024-12927

Indicators of Compromise

• Unusual SQL error messages in application logs indicating malformed queries from the /faculty/check_faculty_login.php endpoint
• Multiple failed or anomalous login attempts to the faculty portal with suspicious email values
• Web server access logs showing requests with SQL syntax characters (', ", --, ;, OR, UNION) in the faculty_emailid parameter
• Database query logs showing unexpected SELECT, UNION, or administrative operations originating from the login function

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP parameters
• Enable and monitor database query logging for anomalous queries, especially from the attendance management application
• Implement application-level logging to capture authentication attempts and flag suspicious input patterns
• Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns

Monitoring Recommendations

• Monitor authentication logs for the faculty portal for patterns indicating brute force or injection attempts
• Set up alerts for database errors related to SQL syntax from the attendance application
• Review web server access logs regularly for requests containing encoded or plain-text SQL injection payloads
• Track any unauthorized changes to faculty or attendance records in the database

How to Mitigate CVE-2024-12927

Immediate Actions Required

• Restrict access to the faculty login portal to trusted IP ranges or implement additional access controls
• Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
• Review database permissions and ensure the application database user has minimal required privileges
• Consider taking the affected application offline until a patch is available or the vulnerability can be manually remediated

Patch Information

No official vendor patch has been released at this time. Organizations should monitor the 1000 Projects Resource for updates and security advisories. Additional vulnerability details are available via the VulDB entry #289280 and the GitHub CVE Issue Tracker.

Workarounds

• Implement input validation at the application level to reject SQL special characters in the faculty_emailid field
• Modify the vulnerable code to use prepared statements or parameterized queries instead of string concatenation for database operations
• Add a WAF rule specifically blocking SQL injection patterns in the faculty login endpoint parameters
• Implement rate limiting on the authentication endpoint to slow down potential exploitation attempts

# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:faculty_emailid "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected in faculty_emailid parameter',\
    logdata:'Matched Data: %{MATCHED_VAR}'"