CVE-2018-2610 in Hyperion Data Relationship Management
Summary
by MITRE
Vulnerability in the Hyperion Data Relationship Management component of Oracle Hyperion (subcomponent: Access and security). The supported version that is affected is 11.1.2.4.330. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Hyperion Data Relationship Management. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Hyperion Data Relationship 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 • 01/31/2021
The vulnerability identified as CVE-2018-2610 resides within Oracle Hyperion Data Relationship Management, specifically affecting the access and security subcomponent. This issue impacts version 11.1.2.4.330 which represents a critical weakness in the enterprise data management platform. The vulnerability manifests as an easily exploitable flaw that requires no authentication credentials from potential attackers, making it particularly dangerous in production environments where sensitive financial and business data resides. The affected component operates within the Hyperion ecosystem, which serves as a crucial data integration and management tool for enterprise organizations relying on Oracle's business intelligence solutions.
The technical nature of this vulnerability stems from insufficient access controls and authentication mechanisms within the Hyperion Data Relationship Management system. Attackers can leverage HTTP network access to exploit this weakness without requiring any prior authorization or credentials, creating a significant security gap in the platform's defensive posture. The flaw essentially allows unauthorized individuals to gain read access to portions of the data management system, potentially exposing sensitive business intelligence, financial models, and operational data. This vulnerability aligns with CWE-284 which addresses improper access control issues, representing a fundamental breakdown in the principle of least privilege that should govern access to enterprise systems.
The operational impact of CVE-2018-2610 extends beyond simple data exposure, as it represents a substantial risk to enterprise data integrity and confidentiality. Organizations utilizing Hyperion Data Relationship Management may face unauthorized access to critical business data including financial forecasts, operational metrics, and strategic planning information. The CVSS 3.0 score of 5.3 indicates a medium severity vulnerability that could lead to significant business disruption and potential financial loss. Attackers could potentially gather intelligence about organizational structure, resource allocation, and business strategies through this unauthorized access. The vulnerability's ease of exploitation means that even non-technical threat actors could successfully compromise the system, amplifying the potential impact across organizations of all sizes.
Organizations should implement immediate mitigations including network segmentation to limit access to Hyperion components, deployment of web application firewalls to monitor and filter HTTP traffic, and regular security assessments to identify similar vulnerabilities. The recommended approach involves applying Oracle's security patches and updates as soon as they become available, while also implementing additional monitoring controls around the affected system. Security teams should conduct thorough access reviews and implement principle of least privilege controls to minimize potential damage from similar vulnerabilities. This remediation strategy aligns with ATT&CK technique T1071.004 which focuses on application layer protocol usage for command and control communications, helping organizations establish better defense in depth measures. Organizations should also consider implementing network access controls to restrict direct HTTP access to the vulnerable component and establish continuous monitoring for anomalous access patterns that might indicate exploitation attempts.