CVE-2019-2884 in Retail Customer Management
Summary
by MITRE
Vulnerability in the Oracle Retail Customer Management and Segmentation Foundation product of Oracle Retail Applications (component: Segment). The supported version that is affected is 17.0. Difficult to exploit vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Retail Customer Management and Segmentation Foundation. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Retail Customer Management and Segmentation Foundation accessible data. CVSS 3.0 Base Score 5.9 (Confidentiality impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 01/15/2024
The vulnerability identified as CVE-2019-2884 resides within Oracle Retail Customer Management and Segmentation Foundation, specifically within the Segment component of Oracle Retail Applications. This critical security flaw affects version 17.0 of the product and represents a significant risk to organizations utilizing this retail management system. The vulnerability operates at the application layer and demonstrates characteristics of a remote code execution threat that can be exploited without requiring any authentication credentials, making it particularly dangerous for organizations with exposed retail systems.
The technical nature of this vulnerability stems from insufficient input validation and access control mechanisms within the Segment component. An unauthenticated attacker can exploit this weakness by sending specially crafted HTTP requests to the affected system, which then processes these requests without proper authentication checks. The vulnerability's classification as difficult to exploit indicates that while the attack vector requires some technical knowledge, the actual exploitation process does not require privileged access or complex attack chains. This characteristic makes the vulnerability more accessible to a broader range of threat actors, including those with moderate technical capabilities.
The operational impact of successfully exploiting CVE-2019-2884 is severe and potentially devastating for affected organizations. Attackers who successfully compromise the system gain unauthorized access to critical customer data and segmentation information that forms the backbone of retail analytics and customer relationship management. This includes sensitive customer demographics, purchasing behaviors, transaction histories, and other proprietary data that organizations rely upon for business intelligence and marketing strategies. The confidentiality impact score of 5.9 on the CVSS scale reflects the potential for significant data exposure, while the lack of integrity or availability impact suggests that the primary concern is unauthorized data access rather than system disruption or data corruption.
Organizations should implement immediate mitigations including network segmentation to restrict access to the affected system, deployment of web application firewalls to filter malicious HTTP requests, and thorough network monitoring to detect anomalous traffic patterns. The vulnerability aligns with CWE-284 (Improper Access Control) and represents a clear violation of the principle of least privilege in system design. From an ATT&CK framework perspective, this vulnerability maps to techniques involving initial access through network services and privilege escalation through weak access controls, making it particularly concerning for threat actors seeking long-term access to retail customer databases.
The remediation strategy should prioritize patch management with Oracle's official security updates, while organizations without immediate patch capabilities should implement network-level controls such as access control lists and intrusion detection systems. Regular security assessments and vulnerability scanning should be conducted to identify similar weaknesses in other components of the retail ecosystem. Additionally, implementing proper monitoring and logging of all HTTP requests to the affected system will help detect exploitation attempts and provide forensic evidence for incident response activities, ensuring that organizations maintain visibility into their security posture and can respond effectively to potential breaches.