CVE-2024-1820: Crime Reporting System SQLi Vulnerability

CVE-2024-1820 Overview

A critical SQL injection vulnerability has been identified in code-projects Crime Reporting System version 1.0. This vulnerability exists in the inchargelogin.php file, where improper sanitization of the email and password parameters allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially leading to complete database compromise, unauthorized access to sensitive crime reporting data, and full system takeover.

Critical Impact
Unauthenticated attackers can remotely exploit this SQL injection flaw to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially achieve remote code execution on the underlying server.

Affected Products

Code-projects Crime Reporting System 1.0

Discovery Timeline

2024-02-23 - CVE-2024-1820 published to NVD
2024-12-07 - Last updated in NVD database

Technical Details for CVE-2024-1820

Vulnerability Analysis

This vulnerability represents a classic SQL injection flaw in a web-based crime reporting application. The inchargelogin.php file fails to properly sanitize user-supplied input in the authentication mechanism. When processing login requests, the application directly concatenates user input from the email and password parameters into SQL queries without adequate input validation or parameterized queries.

The attack surface is particularly concerning as the vulnerable endpoint is the login page, which is inherently accessible to unauthenticated users. An attacker can craft malicious input containing SQL metacharacters and commands that alter the intended query logic. This can result in authentication bypass, allowing unauthorized access to administrative functions of the crime reporting system.

Given the nature of the application—a crime reporting system—the potential data exposure includes sensitive personal information, crime reports, witness details, and other law enforcement-related data.

Root Cause

The root cause of this vulnerability is the lack of input validation and the use of unsanitized user input in SQL query construction. The inchargelogin.php file directly incorporates user-supplied email and password values into database queries without implementing prepared statements, parameterized queries, or proper input escaping. This represents a fundamental failure to follow secure coding practices for database interactions.

Attack Vector

The attack can be initiated remotely over the network without any authentication requirements. An attacker simply needs to access the login page (inchargelogin.php) and submit crafted input in the email or password fields. The exploitation does not require user interaction, making it trivially exploitable by automated tools such as SQLMap.

Typical attack payloads include:

Authentication bypass using payloads like ' OR '1'='1' --
UNION-based injection to extract data from other database tables
Time-based blind SQL injection to enumerate database contents
Stacked queries (if supported) to modify or delete data

The exploit technique has been publicly disclosed, increasing the risk of widespread exploitation. Technical details are available in the GitHub SQL Injection Analysis repository.

Detection Methods for CVE-2024-1820

Indicators of Compromise

Unusual login attempts with SQL metacharacters (single quotes, double dashes, UNION keywords) in authentication logs
Database error messages in web server logs indicating malformed SQL queries
Unexpected database queries or access patterns from the web application user
Evidence of data exfiltration or unauthorized data access in database audit logs

Detection Strategies

Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests
Monitor authentication logs for login attempts containing SQL syntax characters such as ', --, UNION, SELECT, or OR 1=1
Deploy database activity monitoring to detect anomalous query patterns originating from the Crime Reporting System application
Use intrusion detection systems with SQL injection detection signatures targeting the inchargelogin.php endpoint

Monitoring Recommendations

Enable detailed logging for the inchargelogin.php endpoint and review logs for suspicious input patterns
Configure database auditing to track all queries executed by the web application database user
Set up alerts for failed authentication attempts that contain non-alphanumeric characters in credential fields
Monitor for any changes to database schema or unexpected data modifications

How to Mitigate CVE-2024-1820

Immediate Actions Required

Take the Crime Reporting System offline or restrict network access to trusted IP addresses only
Review database logs for evidence of exploitation and assess potential data breach scope
Implement a Web Application Firewall with SQL injection protection rules as an interim measure
Consider deploying an intrusion prevention system to block malicious requests targeting the login endpoint

Patch Information

As of the last NVD update on 2024-12-07, no official vendor patch has been released for this vulnerability. The Crime Reporting System is a code-projects application, and users should monitor the VulDB entry for updates regarding fixes.

Organizations using this software should consider implementing code-level fixes if the source code is available, or transitioning to a more actively maintained crime reporting solution.

Workarounds

Modify the inchargelogin.php file to use prepared statements or parameterized queries for all database interactions
Implement server-side input validation to reject any input containing SQL metacharacters in authentication fields
Deploy a reverse proxy or WAF with SQL injection filtering capabilities in front of the application
Restrict database user permissions to minimum required privileges (principle of least privilege)
Consider implementing additional authentication mechanisms such as CAPTCHA to reduce automated attack risk

bash

# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attack Detected',\
    logdata:'Matched Data: %{MATCHED_VAR}',\
    severity:'CRITICAL'"