CVE-2025-10598 Overview
A SQL Injection vulnerability has been identified in SourceCodester Pet Grooming Management Software version 1.0. This issue affects the file /admin/search_product.php where improper handling of the group_id parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized database access, data manipulation, and information disclosure.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive database information, modify or delete data, and potentially achieve further system compromise through database-level exploitation techniques.
Affected Products
- Mayurik Pet Grooming Management Software 1.0
- SourceCodester Pet Grooming Management Software (mayurik distribution)
Discovery Timeline
- 2025-09-17 - CVE-2025-10598 published to NVD
- 2025-09-22 - Last updated in NVD database
Technical Details for CVE-2025-10598
Vulnerability Analysis
This SQL Injection vulnerability exists in the administrative search functionality of the Pet Grooming Management Software. The vulnerable endpoint /admin/search_product.php fails to properly sanitize user-supplied input in the group_id parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to manipulate database queries by inserting malicious SQL statements through the parameter value.
The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). The network-accessible attack vector combined with no authentication requirements makes this vulnerability particularly concerning for internet-facing deployments.
Root Cause
The root cause of this vulnerability stems from inadequate input validation and the lack of parameterized queries in the application's database interaction layer. The group_id parameter is directly concatenated into SQL query strings without proper escaping, sanitization, or the use of prepared statements. This allows specially crafted input containing SQL syntax to be interpreted as part of the query logic rather than as data.
Attack Vector
The attack can be launched remotely over the network against the administrative interface. An attacker can craft malicious HTTP requests to the /admin/search_product.php endpoint with SQL injection payloads in the group_id parameter. Successful exploitation does not require prior authentication, allowing unauthenticated remote attackers to interact directly with the backend database.
Common exploitation techniques for this vulnerability type include:
- Union-based injection to extract data from other database tables
- Boolean-based blind injection to enumerate database contents
- Time-based blind injection when direct output is not visible
- Error-based injection to leak database structure information
For detailed technical analysis and proof-of-concept information, refer to the GitHub CVE Issue Discussion and VulDB entry #324615.
Detection Methods for CVE-2025-10598
Indicators of Compromise
- Unusual SQL error messages in application logs referencing /admin/search_product.php
- HTTP requests to /admin/search_product.php containing SQL keywords such as UNION, SELECT, OR 1=1, or comment sequences (--, /**/)
- Abnormal database query patterns including time delays or excessive data retrieval
- Failed authentication attempts followed by successful administrative access
- Database audit logs showing unauthorized data access or modification
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the group_id parameter
- Implement intrusion detection signatures for common SQL injection payloads targeting this endpoint
- Monitor HTTP access logs for requests to /admin/search_product.php with suspicious parameter values
- Enable database query logging and alert on queries with injection characteristics originating from the web application
Monitoring Recommendations
- Configure real-time alerting for SQL syntax in HTTP parameters submitted to administrative endpoints
- Establish baseline patterns for legitimate search_product.php usage and alert on deviations
- Monitor database connection activity for unusual query volumes or timing patterns
- Review web server access logs regularly for reconnaissance and exploitation attempts against this endpoint
How to Mitigate CVE-2025-10598
Immediate Actions Required
- Restrict network access to the /admin/ directory to trusted IP addresses only
- Implement a Web Application Firewall (WAF) with SQL injection protection rules
- Consider disabling or removing the vulnerable search_product.php functionality until a patch is available
- Conduct a security audit of database user privileges and implement least-privilege access
- Review database logs for evidence of prior exploitation attempts
Patch Information
As of the last update on 2025-09-22, no official vendor patch has been released for this vulnerability. Organizations using the affected software should monitor the SourceCodester website for security updates and patch releases.
For additional vulnerability intelligence and updates, consult:
Workarounds
- Implement input validation on the application layer by modifying the source code to use parameterized queries or prepared statements for all database interactions
- Apply virtual patching through WAF rules to filter SQL injection attempts targeting the group_id parameter
- Restrict access to administrative functions using network-level controls such as IP whitelisting or VPN requirements
- Deploy the application behind a reverse proxy with request inspection capabilities
- Consider migrating to alternative software solutions with stronger security practices if patches are not forthcoming
# Example: Apache .htaccess to restrict admin directory access
<Directory "/var/www/html/admin">
Order Deny,Allow
Deny from all
Allow from 192.168.1.0/24
Allow from 10.0.0.0/8
</Directory>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
