CVE-2019-25299 in AhadPOS
Summary
by MITRE • 02/06/2026
RimbaLinux AhadPOS 1.11 contains a SQL injection vulnerability in the 'alamatCustomer' parameter that allows attackers to manipulate database queries through crafted POST requests. Attackers can exploit time-based and boolean-based blind SQL injection techniques to extract information or potentially interact with the underlying database.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 02/07/2026
The vulnerability identified as CVE-2019-25299 resides within RimbaLinux AhadPOS version 1.11, a point-of-sale system designed for retail environments. This system processes customer data and maintains transaction records, making it a critical component in retail operations. The flaw manifests in the 'alamatCustomer' parameter handling within the application's backend processing logic, where insufficient input validation allows malicious actors to inject SQL commands directly into the database query execution flow. The vulnerability represents a significant security weakness that undermines the integrity and confidentiality of sensitive customer information stored within the system's database infrastructure.
The technical exploitation of this vulnerability follows standard SQL injection attack patterns, specifically leveraging both time-based and boolean-based blind SQL injection methodologies. Attackers craft malicious POST requests containing specially formatted payloads in the 'alamatCustomer' parameter that manipulate the underlying database queries. In time-based attacks, the malicious input causes the database to delay responses, allowing attackers to infer information through timing variations in query execution. Boolean-based techniques involve crafting inputs that result in different database responses based on true or false conditions, enabling attackers to systematically extract data through successive queries. This vulnerability falls under CWE-89 which specifically addresses SQL injection flaws in software applications, and aligns with ATT&CK technique T1071.004 for application layer protocol manipulation.
The operational impact of this vulnerability extends beyond simple data theft, potentially enabling complete database compromise and unauthorized access to sensitive customer information. Retail environments processing transactions through AhadPOS systems face risks including customer personal data exposure, financial transaction manipulation, and potential system-wide compromise. Attackers could extract customer addresses, personal identification information, and transaction histories, creating opportunities for identity theft, fraud, and targeted attacks. The vulnerability's exploitation does not require elevated privileges, making it particularly dangerous as any authenticated user or external attacker could potentially leverage this weakness. Organizations using this system face regulatory compliance risks under data protection frameworks such as gdpr and pci dss, as unauthorized data access represents significant violations of information security standards.
Mitigation strategies for CVE-2019-25299 should prioritize immediate implementation of parameterized queries and input validation controls. The system administrators must implement proper input sanitization routines that filter or escape special characters in all user-supplied parameters including 'alamatCustomer'. Additionally, applying web application firewalls with SQL injection detection capabilities provides an additional layer of protection. Regular security updates and patches should be implemented immediately upon vendor availability, while network segmentation can limit the potential impact of successful exploitation. The implementation of principle of least privilege access controls and database query monitoring helps detect anomalous behavior patterns. Organizations should also conduct comprehensive penetration testing to identify similar vulnerabilities within their broader IT infrastructure and establish incident response procedures for rapid remediation of security breaches.