CVE-2024-7913 Overview
A SQL injection vulnerability has been identified in itsourcecode Billing System version 1.0. This vulnerability exists in the /addclient1.php file, where improper input validation allows attackers to inject malicious SQL commands through multiple parameters including lname, fname, mi, address, contact, and meterReader. The vulnerability can be exploited remotely without authentication, potentially allowing unauthorized access to sensitive database information, data manipulation, and system compromise.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract, modify, or delete sensitive billing data, potentially compromising customer information and financial records stored in the billing system database.
Affected Products
- Angeljudesuarez Billing System version 1.0
- itsourcecode Billing System 1.0
Discovery Timeline
- 2024-08-18 - CVE-2024-7913 published to NVD
- 2024-08-19 - Last updated in NVD database
Technical Details for CVE-2024-7913
Vulnerability Analysis
This SQL injection vulnerability (CWE-89) stems from the application's failure to properly sanitize user-supplied input before incorporating it into SQL queries. The /addclient1.php endpoint accepts multiple form parameters that are directly concatenated into database queries without adequate input validation or parameterization. An unauthenticated attacker can remotely craft malicious input containing SQL metacharacters to manipulate the underlying database queries.
The vulnerable parameters include personal information fields (lname, fname, mi), location data (address), communication details (contact), and system-specific fields (meterReader). Each of these input vectors presents an opportunity for SQL injection attacks, significantly expanding the attack surface.
Root Cause
The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The application fails to implement parameterized queries (prepared statements) or adequate input sanitization mechanisms, allowing SQL metacharacters to be interpreted as part of the query structure rather than as literal data values.
Attack Vector
The attack can be initiated remotely over the network by submitting specially crafted HTTP requests to the /addclient1.php endpoint. Since the vulnerability does not require authentication, any remote attacker with network access to the application can attempt exploitation. The attacker would typically craft form submissions or HTTP POST requests containing SQL injection payloads in any of the vulnerable parameters.
For example, an attacker could submit malformed data in the lname parameter containing SQL syntax that would terminate the intended query and execute arbitrary SQL commands. Common attack techniques include UNION-based injection for data extraction, boolean-based blind injection for data enumeration, and time-based blind injection for scenarios where direct output is not visible.
The exploit has been publicly disclosed, increasing the risk of widespread exploitation. Technical details are available in the GitHub Issue Discussion and VulDB CTI Report #275039.
Detection Methods for CVE-2024-7913
Indicators of Compromise
- Unusual database queries containing SQL metacharacters (single quotes, double dashes, semicolons) in web server access logs
- HTTP POST requests to /addclient1.php with abnormally long or malformed parameter values
- Database error messages appearing in application logs indicating syntax errors from injected content
- Unexpected data modifications or deletions in billing system database tables
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the /addclient1.php endpoint
- Deploy database activity monitoring to identify anomalous query patterns including UNION SELECT statements, stacked queries, and time-based delays
- Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns in HTTP traffic
- Enable detailed logging on web servers and database servers to capture request parameters and query execution
Monitoring Recommendations
- Monitor web server access logs for repeated requests to /addclient1.php with suspicious parameter values
- Set up alerts for database queries with unexpected execution times that may indicate time-based blind SQL injection attempts
- Track failed login attempts and unauthorized data access patterns in the billing system
- Review database query logs for queries containing SQL keywords in unexpected positions
How to Mitigate CVE-2024-7913
Immediate Actions Required
- Restrict network access to the billing system to trusted IP addresses only until a patch is applied
- Implement a Web Application Firewall (WAF) to filter malicious SQL injection payloads
- Review and audit the /addclient1.php file and related database interaction code for proper input sanitization
- Back up all billing system databases before implementing any mitigations
Patch Information
No official vendor patch has been released for this vulnerability at the time of writing. Organizations using itsourcecode Billing System 1.0 should contact the vendor for updates or consider implementing code-level fixes. The vulnerability details and ongoing discussion can be found at VulDB #275039 and the VulDB Submission #391841.
Workarounds
- Implement prepared statements (parameterized queries) in all database interactions within /addclient1.php
- Apply strict input validation using allowlists for acceptable characters in form fields (alphanumeric only for names, numeric only for contact numbers)
- Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
- Consider disabling or removing the /addclient1.php functionality until proper security controls can be implemented
# Example: Restrict access to the vulnerable endpoint via .htaccess
# Add to .htaccess in the web root directory
<Files "addclient1.php">
Order Deny,Allow
Deny from all
Allow from 192.168.1.0/24
</Files>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

