CVE-2026-26887 Overview
A SQL Injection vulnerability exists in Sourcecodester Pharmacy Point of Sale System v1.0. The vulnerability is located in the /pharmacy/manage_supplier.php endpoint, which fails to properly sanitize user-supplied input before incorporating it into SQL queries. This allows attackers with administrative privileges to inject malicious SQL commands and potentially extract sensitive information from the underlying database.
Critical Impact
Authenticated attackers with high privileges can exploit this SQL injection vulnerability to extract confidential data from the pharmacy management system database, potentially exposing patient information, supplier details, and financial records.
Affected Products
- Sourcecodester Pharmacy Point of Sale System v1.0
- oretnom23 pharmacy_point_of_sale_system 1.0
Discovery Timeline
- 2026-03-03 - CVE CVE-2026-26887 published to NVD
- 2026-03-04 - Last updated in NVD database
Technical Details for CVE-2026-26887
Vulnerability Analysis
This vulnerability is classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The affected endpoint /pharmacy/manage_supplier.php processes user input without adequate sanitization or parameterization, allowing an authenticated attacker to manipulate the underlying database queries.
The attack requires network access and high-level privileges (administrative access) to exploit. While the privilege requirement limits the attack surface, successful exploitation can lead to unauthorized disclosure of confidential information stored in the pharmacy's database. The vulnerability has limited impact on confidentiality with no direct impact on integrity or availability of the system.
Root Cause
The root cause of this vulnerability lies in the improper handling of user-supplied input within the manage_supplier.php file. The application directly concatenates user input into SQL query strings without using prepared statements, parameterized queries, or adequate input validation. This coding practice violates secure development guidelines and creates an avenue for SQL injection attacks.
Attack Vector
The attack is network-based and requires authentication with administrative privileges. An attacker with valid administrative credentials can submit specially crafted input through the supplier management interface to manipulate database queries. The crafted input breaks out of the intended query structure and executes arbitrary SQL commands against the backend database.
The vulnerability allows for data extraction (confidentiality breach) but based on the technical analysis, does not appear to enable data modification or system disruption in its current form. For detailed technical information about the specific injection point and payload structure, refer to the GitHub SQL Injection Report.
Detection Methods for CVE-2026-26887
Indicators of Compromise
- Unusual database query patterns in application logs, particularly involving the manage_supplier.php endpoint
- Database error messages appearing in HTTP responses that reveal query structure or database schema information
- Abnormal access patterns to the supplier management functionality by administrative users
- Evidence of automated scanning tools targeting PHP endpoints with SQL injection payloads
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in requests to /pharmacy/manage_supplier.php
- Configure database audit logging to monitor for unusual query patterns, UNION-based injections, or time-based blind SQL injection attempts
- Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
- Enable PHP application logging to capture and alert on database connection errors and query exceptions
Monitoring Recommendations
- Establish baseline behavior for administrative access to supplier management features and alert on deviations
- Monitor database query execution times for anomalies that may indicate time-based blind SQL injection attempts
- Review application and web server access logs for suspicious parameter values containing SQL syntax characters
- Implement real-time alerting for database errors originating from the affected PHP endpoint
How to Mitigate CVE-2026-26887
Immediate Actions Required
- Restrict access to the /pharmacy/manage_supplier.php endpoint to only essential administrative personnel
- Implement additional authentication layers or IP-based access controls for administrative functions
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
- Conduct a thorough audit of all administrative accounts to ensure no unauthorized access has occurred
Patch Information
No official vendor patch is currently available for this vulnerability. The software is developed by Sourcecodester (oretnom23) and users should monitor the vendor's distribution channels for security updates. Given the nature of Sourcecodester projects, organizations are advised to implement compensating controls while awaiting a fix or consider implementing their own code-level remediation.
For technical details and proof of concept, see the GitHub SQL Injection Report.
Workarounds
- Modify the manage_supplier.php source code to use PDO prepared statements or mysqli parameterized queries instead of direct string concatenation
- Implement input validation to reject special characters commonly used in SQL injection attacks (single quotes, semicolons, comment markers)
- Add a Web Application Firewall rule specifically targeting the affected endpoint with strict input filtering
- Consider disabling or restricting the supplier management functionality until a proper fix can be implemented
# Example: Apache mod_security rule to block SQL injection attempts
SecRule ARGS "@detectSQLi" \
"id:1001,\
phase:2,\
block,\
msg:'SQL Injection Attack Detected on manage_supplier.php',\
logdata:'Matched Data: %{MATCHED_VAR}',\
severity:'CRITICAL',\
chain"
SecRule REQUEST_URI "@contains manage_supplier.php"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

