CVE-2026-100887 in Mini-Inventory-and-Sales-Management-System
Summary
by MITRE • 09/28/2026
A security flaw has been discovered in amirsanni Mini-Inventory-and-Sales-Management-System up to 81bf0b55f5933f3b0dbb1583204a612e06605b95. The impacted element is the function order_by of the file DB_query_builder.php of the component Database Query Builder. Performing a manipulation of the argument orderBy results in sql injection. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project maintainer confirms: "I stopped maintaining that project for a while now, so I'm not sure it's worth fixing." This vulnerability only affects products that are no longer supported by the maintainer.
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Analysis
by VulDB Data Team • 09/28/2026
The amirsanni Mini-Inventory-and-Sales-Management-System contains a critical SQL injection vulnerability within its Database Query Builder component, specifically located in the order_by function of the DB_query_builder.php file. This flaw arises from insufficient input validation and sanitization when processing the orderBy argument provided by users or external systems. Because the application constructs database queries dynamically based on this user-supplied input without properly escaping special characters or enforcing strict type checking, an attacker can inject malicious SQL code into the query structure. The vulnerability is classified under CWE-89, which covers Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. This specific implementation flaw allows for the manipulation of database operations by altering the intended logic of the ORDER BY clause, potentially leading to unauthorized data access or modification.
The operational impact of this vulnerability is severe due to its remote exploitable nature. Attackers can leverage public exploit code that has been released into the wild to target systems running affected versions up to commit 81bf0b55f5933f3b0dbb1583204a612e06605b95. By exploiting this flaw, a remote attacker can bypass authentication mechanisms, extract sensitive data such as user credentials and inventory details, modify or delete records within the database, and potentially execute administrative commands depending on the privileges of the database account used by the application. This aligns with ATT&CK technique T1059, Command and Scripting Interpreter, specifically SQL command injection, which allows adversaries to interact directly with backend databases to achieve their objectives without needing direct system access.
The risk is further exacerbated by the project's maintenance status. The maintainer has confirmed that they have ceased active development of this specific iteration of the software, stating uncertainty about whether fixing it is worthwhile given its age and usage patterns. Consequently, there are no official patches or security updates available for these versions. This lack of support means that organizations relying on this rolling-release product face significant exposure without a clear path to remediation through vendor-provided fixes. The vulnerability persists in all unreleased or legacy builds prior to the specified commit hash, leaving any deployed instances vulnerable to automated scanning tools and manual exploitation attempts by malicious actors seeking low-hanging fruit for data breaches.
Mitigation strategies must focus on immediate isolation and architectural changes since patching is not an option provided by the developer. Organizations currently using this software should immediately disconnect affected systems from untrusted networks or place them behind a Web Application Firewall configured with rules to detect and block SQL injection payloads targeting ORDER BY clauses. Additionally, implementing strict input validation at the application layer is crucial; developers must ensure that any dynamic query construction uses parameterized queries or prepared statements rather than string concatenation for sorting parameters. If possible, migrating to a supported alternative inventory management system is the most effective long-term solution to eliminate this risk entirely. Regular security audits and penetration testing should be conducted on remaining legacy systems to identify other potential weaknesses before they are exploited in conjunction with known vulnerabilities like this one.