CVE-2023-1091 in Licensed Warehousing Automation System
Summary
by MITRE • 03/10/2023
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Alpata Licensed Warehousing Automation System allows Command Line Execution through SQL Injection.
This issue affects Licensed Warehousing Automation System: through 2023.1.01.
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Analysis
by VulDB Data Team • 06/01/2026
The CVE-2023-1091 vulnerability represents a critical sql injection flaw within the Alpata Licensed Warehousing Automation System version 2023.1.01 and earlier. This vulnerability resides in the system's improper neutralization of special elements within sql commands, creating a pathway for malicious actors to execute arbitrary commands through database queries. The flaw specifically manifests when user-supplied input containing sql metacharacters is not adequately sanitized before being incorporated into sql command structures. This weakness allows attackers to manipulate database operations by injecting malicious sql code that bypasses normal input validation mechanisms.
The technical exploitation of this vulnerability follows the established patterns of sql injection attacks as categorized under CWE-89 in the Common Weakness Enumeration system. Attackers can leverage this flaw to perform unauthorized database operations including data extraction, modification, or deletion, potentially leading to complete system compromise. The vulnerability's designation as a command line execution vector through sql injection indicates that successful exploitation could enable attackers to execute arbitrary commands on the underlying operating system, effectively elevating their privileges beyond mere database access. This escalation occurs because the system's sql injection vulnerability allows attackers to bypass traditional application-level security controls and directly interact with the system's command execution capabilities.
The operational impact of this vulnerability extends beyond simple data compromise, as it creates a persistent threat vector that could enable attackers to gain unauthorized access to the entire warehousing automation infrastructure. Organizations relying on the Alpata system for warehouse operations face significant risks including inventory data manipulation, operational disruption, and potential financial losses due to unauthorized access to critical supply chain information. The vulnerability's presence in the licensed warehousing automation system suggests that enterprises using this platform for inventory management, order processing, and warehouse coordination could experience severe operational consequences. Attackers could potentially manipulate warehouse operations, alter inventory records, or even disrupt automated processes that depend on accurate database information, leading to cascading effects throughout supply chain operations.
Mitigation strategies for CVE-2023-1091 should prioritize immediate patching of the affected Alpata system to address the sql injection vulnerability. Organizations must implement comprehensive input validation and parameterized query execution to prevent malicious sql code injection. The implementation of proper access controls and database privilege management can limit the potential damage from successful exploitation attempts. Security measures should include regular vulnerability assessments, network segmentation to isolate critical systems, and monitoring for suspicious database activity. Additionally, organizations should conduct thorough security testing of all database interfaces and implement web application firewalls to detect and prevent sql injection attempts. The ATT&CK framework categorizes this vulnerability under the T1071.004 technique for application layer protocol usage, emphasizing the need for proper input sanitization and secure coding practices to prevent exploitation. Regular security awareness training for system administrators and developers can help prevent configuration errors that might exacerbate the vulnerability's impact, while maintaining detailed audit logs of database operations provides crucial forensic capabilities for incident response and threat detection.