CVE-2026-30532 Overview
A SQL Injection vulnerability has been identified in SourceCodester Online Food Ordering System v1.0. The vulnerability exists in the admin/view_product.php file and can be exploited through the id parameter. This flaw allows unauthenticated attackers to execute arbitrary SQL queries against the backend database, potentially leading to complete database compromise, data exfiltration, and unauthorized system access.
Critical Impact
This SQL Injection vulnerability allows remote attackers to bypass authentication, extract sensitive data, modify database contents, and potentially achieve full system compromise through database manipulation.
Affected Products
- SourceCodester Online Food Ordering System v1.0
- oretnom23 online_food_ordering_system version 1.0
Discovery Timeline
- 2026-03-27 - CVE-2026-30532 published to NVD
- 2026-03-30 - Last updated in NVD database
Technical Details for CVE-2026-30532
Vulnerability Analysis
This SQL Injection vulnerability occurs due to improper sanitization of user-supplied input in the admin/view_product.php endpoint. The id parameter is directly concatenated into SQL queries without proper validation, parameterization, or escaping. This allows attackers to inject malicious SQL code that gets executed by the database server with the same privileges as the application's database user.
The vulnerability is remotely exploitable without authentication, meaning any attacker with network access to the application can potentially extract the entire database contents, including customer information, order details, and administrative credentials. In severe cases, attackers may leverage database features to achieve operating system command execution.
Root Cause
The root cause of this vulnerability is the lack of input validation and the use of unsanitized user input in database queries. The application directly uses the id parameter value in SQL statements without implementing prepared statements, parameterized queries, or proper input sanitization. This represents a fundamental secure coding failure as defined by CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
Attack Vector
The attack is network-based and requires no authentication or user interaction. An attacker can craft malicious HTTP requests to the admin/view_product.php endpoint with specially crafted SQL payloads in the id parameter. These payloads can include UNION-based, error-based, boolean-based blind, or time-based blind SQL injection techniques to extract data or manipulate database operations.
For detailed technical information and proof-of-concept details, refer to the GitHub SQL Injection PoC.
Detection Methods for CVE-2026-30532
Indicators of Compromise
- Unusual or malformed requests to admin/view_product.php containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
- Database error messages appearing in HTTP responses or application logs
- Unexpected database query patterns in database audit logs, particularly involving system tables or information_schema
- Increased database load or unusual query execution times indicating blind SQL injection attempts
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the id parameter
- Monitor application logs for requests to view_product.php with suspicious parameter values containing SQL keywords
- Enable database query logging and alert on queries accessing sensitive system tables
- Deploy intrusion detection systems with SQL injection signature detection capabilities
Monitoring Recommendations
- Enable verbose logging on the web application server to capture all requests to administrative endpoints
- Configure database audit logging to track all queries executed against the database
- Set up alerting for failed database queries that may indicate injection attempts
- Monitor for unusual data exfiltration patterns such as large query result sets or repeated queries to sensitive tables
How to Mitigate CVE-2026-30532
Immediate Actions Required
- Take the Online Food Ordering System offline if it is exposed to untrusted networks
- Implement network-level access controls to restrict access to the admin interface
- Review database logs for signs of compromise and check for unauthorized data access
- Rotate all database credentials and administrative passwords as a precaution
Patch Information
No official vendor patch is currently available. The affected software is developed by SourceCodester (oretnom23). Organizations using this application should contact the vendor for patch availability or consider implementing code-level fixes to properly sanitize the id parameter using prepared statements and parameterized queries.
Workarounds
- Implement input validation to ensure the id parameter accepts only numeric values before processing
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
- Restrict network access to the admin directory using IP allowlisting or VPN requirements
- Apply the principle of least privilege to the database user account used by the application to limit potential damage from successful exploitation
# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:id "!@rx ^[0-9]+$" \
"id:1001,\
phase:2,\
block,\
msg:'SQL Injection attempt in id parameter',\
logdata:'Matched Data: %{MATCHED_VAR} found within %{MATCHED_VAR_NAME}',\
severity:'CRITICAL'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


