CVE-2021-2003 in Business Intelligence Enterprise Edition
Summary
by MITRE • 01/20/2021
Vulnerability in the Business Intelligence Enterprise Edition product of Oracle Fusion Middleware (component: Analytics Web Dashboards). Supported versions that are affected are 5.5.0.0.0, 11.1.1.9.0, 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Business Intelligence Enterprise Edition. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Business Intelligence Enterprise Edition, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Business Intelligence Enterprise Edition accessible data as well as unauthorized read access to a subset of Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 5.4 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N).
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Analysis
by VulDB Data Team • 02/17/2021
The vulnerability identified as CVE-2021-2003 represents a significant security weakness within Oracle Fusion Middleware's Business Intelligence Enterprise Edition, specifically affecting the Analytics Web Dashboards component. This flaw exists in multiple version streams including 5.5.0.0.0, 11.1.1.9.0, 12.2.1.3.0, and 12.2.1.4.0, indicating a widespread impact across the product's lifecycle. The vulnerability classification as easily exploitable suggests that attackers can leverage relatively straightforward techniques to gain unauthorized access, making it particularly concerning for organizations relying on this business intelligence platform.
The technical nature of this vulnerability stems from insufficient authorization controls within the Analytics Web Dashboards functionality, allowing low privileged attackers to perform unauthorized operations against the affected system. The CVSS 3.1 score of 5.4 reflects the moderate severity level, with confidentiality and integrity impacts rated as low, though the vector indicates network accessibility with low attack complexity and requiring only low privileges. The necessity for human interaction suggests that while automated exploitation may be possible, successful exploitation typically requires some form of user engagement or specific conditions that must be met by the attacker.
The operational impact of this vulnerability extends beyond the immediate Business Intelligence Enterprise Edition, as indicated by the CVSS vector's scope classification of "C" (Changed), suggesting potential cascading effects that could compromise additional systems or applications within the organization's infrastructure. Attackers who successfully exploit this vulnerability can achieve unauthorized update, insert, or delete operations on specific data sets within the business intelligence platform, while also gaining unauthorized read access to portions of accessible data. This dual capability of data modification and unauthorized access creates a comprehensive threat that could significantly compromise business intelligence data integrity and confidentiality.
Organizations affected by this vulnerability should prioritize immediate remediation efforts, including applying the relevant Oracle security patches and updates to all impacted versions. The mitigation strategy should also incorporate network segmentation to limit access to the affected systems, implement additional authentication controls, and establish monitoring procedures to detect potential exploitation attempts. Security teams should consider the vulnerability's classification under CWE-284 (Improper Access Control) and align their response with ATT&CK framework techniques related to privilege escalation and credential access. Additionally, organizations should conduct comprehensive risk assessments to identify all systems that might be indirectly affected by this vulnerability and implement proper access controls to minimize potential lateral movement within their network infrastructure.