CVE-2019-2732 in Demantra Demand Management
Summary
by MITRE
Vulnerability in the Oracle Demantra Demand Management component of Oracle Supply Chain Products Suite (subcomponent: Product Security). The supported version that is affected is 7.3.1.5.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Demantra Demand Management. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Oracle Demantra Demand Management accessible data. CVSS 3.0 Base Score 5.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N).
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Analysis
by VulDB Data Team • 07/07/2020
The vulnerability identified as CVE-2019-2732 resides within Oracle Demantra Demand Management, a critical component of Oracle Supply Chain Products Suite that operates under the Product Security subcomponent. This particular weakness affects version 7.3.1.5.2 of the software, representing a significant security gap in demand planning and forecasting systems that organizations rely upon for strategic business decisions. The vulnerability manifests as an easily exploitable flaw that can be leveraged by unauthenticated attackers, eliminating the need for prior access credentials or privileged positions within the system. This characteristic dramatically increases the attack surface and reduces the barrier to successful exploitation, making it particularly concerning for enterprises that depend on this platform for critical demand forecasting operations.
The technical nature of this vulnerability stems from insufficient authentication mechanisms within the HTTP communication channels of Oracle Demantra Demand Management. Attackers can exploit this weakness by simply establishing network connections to the affected system without requiring any valid credentials or authorization tokens. The vulnerability's classification as CVSS 3.0 Base Score 5.3 indicates a moderate severity level, with the primary impact focused on confidentiality rather than integrity or availability. This means that successful exploitation would allow unauthorized parties to access sensitive data within the system, potentially including demand forecasts, historical consumption patterns, and other proprietary business intelligence that forms the foundation of supply chain planning decisions.
The operational impact of this vulnerability extends beyond simple data exposure, as it fundamentally compromises the security posture of organizations using Oracle Demantra Demand Management. The unauthorized read access to a subset of accessible data could provide attackers with valuable insights into business operations, demand patterns, and inventory planning strategies that could be exploited for competitive advantage or further attack vectors. This vulnerability directly relates to CWE-287, which addresses authentication failures in software systems, and aligns with ATT&CK technique T1071.004 for application layer protocol usage. Organizations relying on this system for demand planning and forecasting may find their strategic business intelligence compromised, potentially leading to supply chain disruptions, competitive disadvantages, and financial losses.
Mitigation strategies for CVE-2019-2732 should prioritize immediate implementation of network-level controls such as firewall rules that restrict access to the affected Oracle Demantra Demand Management components to only trusted networks and IP addresses. Organizations should also consider implementing additional authentication layers, network segmentation, and monitoring solutions to detect unauthorized access attempts. Oracle recommends applying the relevant security patches and updates as soon as they become available, while security teams should conduct comprehensive vulnerability assessments to identify any additional weaknesses in their supply chain management systems. The vulnerability's classification as easily exploitable underscores the urgency of implementing these protective measures, as the attack surface remains open to automated scanning and exploitation tools that may be actively targeting systems with this specific weakness.