CVE-2026-26711 Overview
A critical SQL Injection vulnerability has been identified in code-projects Simple Food Order System v1.0. The vulnerability exists in the /food/view-ticket.php endpoint, allowing unauthenticated remote attackers to inject malicious SQL queries and potentially compromise the entire database backend. This type of vulnerability can lead to unauthorized data access, modification, or deletion, and in some cases, can be leveraged for complete system compromise.
Critical Impact
Unauthenticated SQL Injection allows attackers to extract sensitive data, bypass authentication, modify database contents, or potentially achieve remote code execution through database features.
Affected Products
- Carmelo Simple Food Order System v1.0
- code-projects Simple Food Order System v1.0
Discovery Timeline
- 2026-03-02 - CVE CVE-2026-26711 published to NVD
- 2026-03-03 - Last updated in NVD database
Technical Details for CVE-2026-26711
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) affects the /food/view-ticket.php endpoint in the Simple Food Order System application. The vulnerability occurs due to improper neutralization of special elements used in SQL commands, allowing attackers to manipulate database queries through user-supplied input.
The vulnerable endpoint likely processes ticket-related parameters without proper input sanitization or parameterized queries. When exploited, attackers can inject arbitrary SQL syntax to alter the intended query logic. This can result in unauthorized access to sensitive customer data, order information, or administrative credentials stored in the database.
Given the network-accessible nature of this vulnerability and the lack of authentication requirements, any internet-facing deployment of this application is at significant risk. The vulnerability can be exploited remotely without any user interaction, making it particularly dangerous for production environments.
Root Cause
The root cause of this vulnerability is improper input validation and the use of dynamic SQL query construction without parameterized queries or prepared statements. User-supplied input in the /food/view-ticket.php endpoint is directly concatenated into SQL statements, allowing attackers to break out of the intended query context and execute arbitrary SQL commands.
Attack Vector
The attack is network-based, requiring no authentication or user interaction. An attacker can send specially crafted HTTP requests to the /food/view-ticket.php endpoint containing malicious SQL payloads. These payloads are processed by the application and executed against the backend database.
The vulnerability allows for various SQL Injection techniques including:
- Union-based injection: Extracting data from other database tables by appending UNION SELECT statements
- Boolean-based blind injection: Inferring database contents through true/false conditional responses
- Time-based blind injection: Extracting data by observing response time delays
- Error-based injection: Leveraging database error messages to extract information
For detailed technical information about the vulnerability, refer to the GitHub SQL Injection Report.
Detection Methods for CVE-2026-26711
Indicators of Compromise
- Unusual SQL syntax patterns in web server access logs for /food/view-ticket.php
- Database error messages appearing in application responses or logs
- Unexpected database queries containing UNION, SELECT, or comment syntax (--, /**/)
- Abnormal data access patterns or bulk data extraction from the database
- Failed login attempts followed by successful authentication without valid credentials
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL Injection patterns in request parameters
- Monitor database query logs for suspicious queries containing SQL keywords in unexpected contexts
- Configure IDS/IPS signatures to alert on common SQL Injection payloads targeting PHP applications
- Enable detailed application logging to capture request parameters sent to /food/view-ticket.php
Monitoring Recommendations
- Review web server access logs regularly for requests containing SQL metacharacters (', ", ;, --, /*)
- Set up real-time alerts for database errors indicating SQL syntax violations
- Monitor for unusual data exfiltration patterns or large query result sets
- Implement database activity monitoring to track queries executed against sensitive tables
How to Mitigate CVE-2026-26711
Immediate Actions Required
- Remove or restrict access to the /food/view-ticket.php endpoint until a patch is available
- Implement a Web Application Firewall (WAF) with SQL Injection protection rules
- Deploy network segmentation to limit database access from the web application tier
- Audit database accounts to ensure principle of least privilege is enforced
- Review and backup database contents to prepare for potential compromise assessment
Patch Information
At the time of publication, no official vendor patch has been released for this vulnerability. The application maintainers have not provided a security advisory or updated version. Organizations using this software should consider the mitigation strategies below and monitor the GitHub SQL Injection Report for updates.
Workarounds
- Implement input validation using allowlists for expected parameter values in view-ticket.php
- Deploy a WAF rule to block requests containing SQL metacharacters to the vulnerable endpoint
- Restrict network access to the application to trusted IP ranges only
- Consider disabling the ticket viewing functionality until proper input sanitization can be implemented
- Use database account permissions to limit the application's database access to read-only where possible
# 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} found within %{MATCHED_VAR_NAME}',\
severity:'CRITICAL',\
tag:'application-multi',\
tag:'language-multi',\
tag:'platform-multi',\
tag:'attack-sqli'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


