CVE-2026-1159: Frozen Foods Ordering System SQLi Flaw

CVE-2026-1159 Overview

A SQL Injection vulnerability has been identified in itsourcecode Online Frozen Foods Ordering System version 1.0. This issue affects the processing of the file /order_online.php, where manipulation of the product_name argument can lead to SQL injection attacks. The vulnerability can be exploited remotely, and exploit details have been made publicly available, increasing the risk of active exploitation.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

• itsourcecode Online Frozen Foods Ordering System 1.0
• Systems utilizing /order_online.php with vulnerable product_name parameter handling

Discovery Timeline

• 2026-01-19 - CVE-2026-1159 published to NVD
• 2026-01-19 - Last updated in NVD database

Technical Details for CVE-2026-1159

Vulnerability Analysis

This vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly referred to as injection vulnerabilities. The Online Frozen Foods Ordering System fails to properly sanitize user-supplied input in the product_name parameter within the /order_online.php script before incorporating it into SQL queries.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring any authentication or user interaction. The vulnerability allows attackers to inject malicious SQL statements that can read, modify, or delete database contents, potentially compromising the confidentiality, integrity, and availability of the underlying data store.

Root Cause

The root cause of this vulnerability lies in improper input validation and lack of parameterized queries in the application's database interaction layer. When user input from the product_name parameter is directly concatenated into SQL queries without proper sanitization or the use of prepared statements, it creates an injection point that attackers can exploit.

The application fails to implement defense-in-depth mechanisms such as:

• Input validation and sanitization
• Parameterized queries or prepared statements
• Stored procedures with proper parameter handling
• Web Application Firewall (WAF) rules for SQL injection detection

Attack Vector

The attack vector for CVE-2026-1159 is network-based, allowing remote exploitation. An attacker can craft malicious HTTP requests to the /order_online.php endpoint, injecting SQL payloads through the product_name parameter. This requires no authentication or special privileges, making it accessible to any network-connected attacker.

The exploitation mechanism involves sending specially crafted input that breaks out of the intended SQL query context, allowing the attacker to append additional SQL commands or modify the query logic. Common attack payloads may include UNION-based injection for data extraction, boolean-based blind injection for inferring data, or time-based blind injection techniques.

For detailed technical analysis and proof-of-concept information, refer to the GitHub Issue Discussion and VulDB entry #341753.

Detection Methods for CVE-2026-1159

Indicators of Compromise

• Unusual database query patterns or errors in application logs related to /order_online.php
• HTTP requests to /order_online.php containing SQL metacharacters (quotes, semicolons, comment sequences) in the product_name parameter
• Database logs showing unexpected UNION SELECT statements, information_schema queries, or time-delay functions
• Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the product_name parameter
• Implement application-level logging for all requests to /order_online.php with parameter inspection
• Configure database auditing to alert on suspicious query patterns such as UNION injections, stacked queries, or system table access
• Utilize SentinelOne Singularity Platform for real-time behavioral analysis and detection of exploitation attempts

Monitoring Recommendations

• Enable detailed logging for the web server handling requests to the Online Frozen Foods Ordering System
• Monitor for anomalous database activity including unusual query volumes, schema enumeration attempts, or data extraction patterns
• Set up alerts for HTTP 500 errors or database error messages that may indicate injection attempts
• Review access logs for repeated requests to /order_online.php from single IP addresses with varying product_name values

How to Mitigate CVE-2026-1159

Immediate Actions Required

• If possible, take the vulnerable /order_online.php endpoint offline until a patch can be applied
• Implement input validation on the product_name parameter to allow only expected characters (alphanumeric and limited special characters)
• Deploy a Web Application Firewall with SQL injection detection rules in blocking mode
• Review database permissions to ensure the application uses a least-privilege account
• Audit database logs for signs of prior exploitation

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations using itsourcecode Online Frozen Foods Ordering System should contact the vendor for remediation guidance or implement the workarounds listed below. Additional details may be available through the itsourcecode website or VulDB submission #736332.

Workarounds

• Implement parameterized queries or prepared statements in the application code to prevent SQL injection
• Deploy a WAF with SQL injection signatures to filter malicious requests before they reach the application
• Restrict network access to the application using firewall rules or VPN requirements to limit exposure
• Apply input whitelisting for the product_name parameter, rejecting any input containing SQL metacharacters
• Consider using a database access layer or ORM that automatically handles query parameterization

# Example WAF rule for ModSecurity to detect SQL injection in product_name
SecRule ARGS:product_name "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    log,\
    msg:'SQL Injection attempt detected in product_name parameter',\
    tag:'attack-sqli',\
    severity:'CRITICAL'"