CVE-2025-15073 Overview
A SQL Injection vulnerability has been identified in itsourcecode Online Frozen Foods Ordering System version 1.0. The vulnerability exists in the /contact_us.php file, where improper handling of the Name argument allows attackers to inject malicious SQL statements. This flaw can be exploited remotely without authentication, potentially enabling unauthorized access to database contents, data manipulation, and system compromise.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database records, or potentially gain unauthorized access to the underlying system through the publicly exposed contact form endpoint.
Affected Products
- itsourcecode Online Frozen Foods Ordering System 1.0
Discovery Timeline
- 2025-12-24 - CVE-2025-15073 published to NVD
- 2025-12-30 - Last updated in NVD database
Technical Details for CVE-2025-15073
Vulnerability Analysis
This SQL Injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the contact form functionality of the Online Frozen Foods Ordering System. The /contact_us.php endpoint fails to properly sanitize user-supplied input in the Name parameter before incorporating it into SQL queries.
When a user submits data through the contact form, the application directly concatenates user input into database queries without proper parameterization or escaping. This allows an attacker to break out of the intended SQL context and inject arbitrary SQL commands that the database will execute with the application's privileges.
The vulnerability is classified under CWE-74 (Injection), which encompasses various injection attacks where special characters or sequences are not properly neutralized before being passed to downstream components. The exploit has been publicly disclosed and documented in security databases.
Root Cause
The root cause of this vulnerability is insufficient input validation and the use of dynamic SQL query construction. The application concatenates user-controlled input directly into SQL statements rather than using prepared statements or parameterized queries. This architectural flaw allows special SQL characters and commands to be interpreted by the database engine rather than being treated as literal data values.
Attack Vector
The attack can be initiated remotely via the network without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests to the /contact_us.php endpoint with specially crafted payloads in the Name parameter.
By injecting SQL metacharacters and additional SQL syntax, attackers can manipulate query logic to extract sensitive information from the database, bypass authentication mechanisms, modify or delete data, or potentially execute commands on the underlying database server depending on the database configuration and privileges.
The vulnerability is accessible through standard web requests, making it trivial to exploit using common security tools or simple HTTP clients. Technical details and proof-of-concept information are available in the GitHub CVE Issue and VulDB entry.
Detection Methods for CVE-2025-15073
Indicators of Compromise
- Unusual or malformed requests to /contact_us.php containing SQL syntax characters such as single quotes, semicolons, UNION, SELECT, or -- comments
- Database error messages exposed in HTTP responses indicating SQL syntax errors
- Unexpected database query patterns or excessive data extraction in database logs
- Anomalous network traffic patterns to the contact form endpoint from single sources
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the Name parameter
- Implement application-level logging to capture all inputs to /contact_us.php and flag suspicious patterns
- Configure database monitoring to alert on unusual query patterns or unauthorized data access attempts
- Use intrusion detection systems (IDS) with SQL injection signature detection enabled for web traffic
Monitoring Recommendations
- Enable verbose logging for all database queries executed by the application
- Monitor error logs for SQL syntax errors that may indicate injection attempts
- Set up alerts for multiple failed or malformed requests to the contact form endpoint
- Review database access logs for unauthorized table access or data exfiltration patterns
How to Mitigate CVE-2025-15073
Immediate Actions Required
- Remove or disable the /contact_us.php functionality until a patched version is available
- Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
- Review database permissions and restrict the application's database user to minimum required privileges
- Monitor system and database logs for signs of exploitation attempts
Patch Information
No official vendor patch has been released at this time. The application is developed by itsourcecode and users should monitor the IT Source Code website for security updates. Given the nature of this vulnerability and the public disclosure of exploitation details, organizations should consider alternative solutions or implement robust compensating controls until a patch becomes available.
For additional technical details and tracking, refer to the VulDB entry for this vulnerability.
Workarounds
- Implement input validation at the application level to sanitize the Name parameter before database operations
- Deploy a reverse proxy or WAF configured to block requests containing SQL injection patterns
- Modify the application code to use prepared statements with parameterized queries for all database interactions
- Consider temporarily disabling the contact form feature if it is not business-critical
# Example WAF rule configuration (ModSecurity)
# Block SQL injection attempts in contact form parameters
SecRule ARGS:Name "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt detected in contact form',\
tag:'application-multi',\
tag:'language-multi',\
tag:'attack-sqli'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


