CVE-2026-79804 in Food Ordering System
Summary
by MITRE • 08/25/2026
A vulnerability was found in SililaWijesinghe Food Ordering System up to ba314e897e3365600461e5ea59432e39ceaa0fa5. Affected by this issue is some unknown functionality of the file /search.php. Performing a manipulation of the argument search_box results in sql injection. Remote exploitation of the attack is possible. The exploit has been made public and could be used. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The vendor was contacted early about this disclosure but did not respond in any way.
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Analysis
by VulDB Data Team • 08/26/2026
The SililaWijesinghe Food Ordering System contains a critical security flaw within its search functionality, specifically located in the /search.php file. This vulnerability stems from an improper handling of user-supplied input passed via the search_box parameter. The application fails to adequately sanitize or validate this data before incorporating it into SQL queries executed against the backend database. As a result, attackers can inject arbitrary SQL commands through the search interface, leading to a classic SQL injection condition. Because the system operates on a rolling release model for continuous delivery, specific version numbers are not provided as indicators of vulnerability status; instead, any commit up to ba314e897e3365600461e5ea59432e39ceaa0fa5 is considered affected. The lack of response from the vendor further complicates remediation efforts for existing deployments that have not implemented independent security controls.
From a technical perspective, this flaw represents a failure to implement parameterized queries or prepared statements when interacting with the database layer. Instead, the application likely concatenates user input directly into SQL strings, allowing malicious actors to alter the structure of the query. This type of vulnerability is categorized under CWE-89, which defines Improper Neutralization of Special Elements used in an SQL Command. The impact of such a flaw can be severe, potentially leading to unauthorized access to sensitive data including customer personal information, payment details, and order history. Attackers may also use this vector to modify or delete database records, disrupt service availability by causing errors that crash the application, or even execute administrative commands on the underlying server depending on the privileges granted to the database user account running the web application.
The operational impact of this vulnerability is significant due to its remote exploitability and public availability. Since the exploit code has been made public, automated scanning tools and malicious actors can easily identify and target vulnerable instances without requiring specialized knowledge or custom development. This lowers the barrier for entry significantly, increasing the likelihood of successful attacks against systems that remain unpatched. For a food ordering system, which typically handles high volumes of transactions and sensitive user data, such an exposure poses substantial risks to both business continuity and regulatory compliance. Organizations relying on this software face potential financial losses from fraud, legal liabilities under data protection regulations like GDPR or CCPA, and reputational damage resulting from publicized breaches.
Mitigation strategies must focus on immediate remediation of the code flaw as well as implementing defense-in-depth measures given the vendor's non-responsiveness to disclosure efforts. Developers should refactor the /search.php file to use parameterized queries or stored procedures that separate SQL logic from data input, ensuring that user-supplied values are treated strictly as data rather than executable code. Input validation should also be enforced by whitelisting allowed characters for search terms and rejecting any payloads containing suspicious SQL syntax patterns. Additionally, organizations running this system should deploy Web Application Firewalls configured with rulesets capable of detecting and blocking common SQL injection signatures targeting the search endpoint. Regular security audits and penetration testing are recommended to verify that no other similar vulnerabilities exist within the application's codebase, particularly in areas handling user input such as login forms or profile updates.