CVE-2023-22012 in Business Intelligence Enterprise Edition
Summary
by MITRE • 07/19/2023
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Analytics Server). The supported version that is affected is 7.0.0.0.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 4.3 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N).
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Analysis
by VulDB Data Team • 08/13/2023
The vulnerability identified as CVE-2023-22012 affects Oracle Business Intelligence Enterprise Edition version 7.0.0.0.0 within the Analytics Server component. This represents a significant security weakness that falls under the Common Weakness Enumeration category of insufficient authentication or authorization flaws. The vulnerability resides in the web-based interface of the analytics platform, specifically in how it handles HTTP requests from remote attackers. The CVSS score of 4.3 reflects the integrity impact severity, indicating that while the attack vector is relatively accessible, the primary concern lies in unauthorized modification of data rather than complete system compromise. The vulnerability's classification as easily exploitable means that an attacker with minimal privileges and network access can potentially manipulate the system's data integrity.
The technical flaw manifests in the Analytics Server's insufficient validation of user permissions when processing HTTP requests. An attacker with low privileges can leverage this weakness to perform unauthorized operations against the underlying data stores. The vulnerability does not grant full system access but specifically allows for update, insert, or delete operations on certain accessible data within the Oracle Business Intelligence environment. This means that while the attacker cannot directly execute arbitrary code or gain complete administrative control, they can modify or corrupt data that the system considers accessible to their current privilege level. The attack requires only network connectivity via HTTP protocols, making it particularly concerning for systems that are exposed to external networks without proper firewall restrictions.
The operational impact of this vulnerability extends beyond simple data modification risks. Organizations utilizing Oracle Business Intelligence Enterprise Edition may face data integrity issues that could compromise business analytics, reporting accuracy, and decision-making processes. The unauthorized update, insert, or delete capabilities could lead to manipulated financial reports, distorted performance metrics, or corrupted analytical datasets that could affect strategic business decisions. The vulnerability's potential to compromise data integrity aligns with ATT&CK technique T1566 for credential manipulation and T1499 for data manipulation, as it enables unauthorized changes to stored information. Organizations with sensitive business intelligence data may experience regulatory compliance issues if data integrity is compromised, particularly in industries subject to strict auditing requirements such as financial services, healthcare, or government sectors.
Mitigation strategies should focus on immediate network segmentation to limit access to the Oracle Business Intelligence servers and ensure that only authorized personnel can reach the Analytics Server component. Organizations should implement strict access controls and regularly audit user permissions to minimize the risk of low-privilege accounts being used for exploitation. The recommended approach includes applying Oracle's security patches as soon as they become available, implementing network monitoring to detect unusual HTTP traffic patterns, and establishing robust logging mechanisms to track data modification activities. Additionally, organizations should consider implementing web application firewalls to filter and monitor HTTP requests to the analytics server, and conduct regular security assessments to identify potential unauthorized access points. The vulnerability's CVSS vector indicates that while user interaction is not required for exploitation, the lack of user interface requirements makes it particularly dangerous as it can be automated and executed without direct user involvement.