CVE-2026-105169 in food-waste-management-system
Summary
by MITRE • 10/05/2026
A security flaw has been discovered in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. This impacts an unknown function of the file delivery/delivery.php of the component Take Order Handler. The manipulation of the argument order_id/delivery_person_id results in sql injection. It is possible to launch the attack remotely. The exploit has been released to the public and may be used for attacks. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The project was informed of the problem early through an issue report but has not responded yet.
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Analysis
by VulDB Data Team • 10/05/2026
The kishor-23 food-waste-management-system contains a critical SQL injection vulnerability within its file delivery component, specifically located in the delivery.php script which serves as part of the Take Order Handler functionality. This flaw arises from insufficient input validation and sanitization mechanisms when processing user-supplied arguments, particularly order_id and delivery_person_id. These parameters are directly incorporated into database queries without proper escaping or parameterized query usage, allowing an attacker to inject malicious SQL code that alters the intended logic of the backend database operations. The vulnerability is classified under CWE-89, which denotes Improper Neutralization of Special Elements used in an SQL Command, a common weakness found in web applications that fail to properly handle dynamic input before executing it against a relational database management system.
The operational impact of this vulnerability is severe due to its remote exploitability and the nature of the data involved. An attacker can launch attacks from any network location without requiring prior authentication or physical access to the target infrastructure, as indicated by the ability to manipulate arguments remotely. This aligns with ATT&CK technique T1190, Exploit Public-Facing Application, where adversaries leverage vulnerabilities in internet-facing services to gain initial access. Since the system manages food waste logistics and order data, successful exploitation could lead to unauthorized disclosure of sensitive customer information, manipulation of delivery records, or even complete compromise of the underlying database server through stacked queries that execute operating system commands if the database configuration permits it.
The risk is further exacerbated by the project's development model, which utilizes rolling releases for continuous delivery. This approach means there are no discrete version numbers to track affected versus patched states, making vulnerability management and patch deployment significantly more complex for administrators. The lack of clear versioning complicates automated scanning tools that rely on specific version signatures to determine exploitability. Furthermore, the project maintainers have been notified via an issue report but have not yet responded or released a fix, leaving users in a state of prolonged exposure. This delay highlights the importance of independent security audits and proactive monitoring for open-source projects with high visibility or critical functionality.
Mitigation strategies must focus on immediate defensive measures since no official patch is currently available. Developers should implement strict input validation that rejects any non-numeric characters if order_id and delivery_person_id are expected to be integers, thereby preventing the injection of SQL syntax at the application layer. Additionally, switching from dynamic query construction to prepared statements with parameterized queries would neutralize this vulnerability by ensuring user input is treated strictly as data rather than executable code. Network-level controls such as Web Application Firewalls can also provide a temporary buffer by detecting and blocking common SQL injection patterns in HTTP requests targeting the delivery.php endpoint until the source code is corrected.