CVE-2022-21609 in Business Intelligence Enterprise Edition
Summary
by MITRE • 10/19/2022
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Fusion Middleware (component: Analytics Server). The supported version that is affected is 5.9.0.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 5.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 04/26/2026
The vulnerability identified as CVE-2022-21609 affects Oracle Business Intelligence Enterprise Edition version 5.9.0.0 within the Analytics Server component of Oracle Fusion Middleware. This represents a significant security weakness that falls under the Common Weakness Enumeration category CWE-284, which deals with improper access control mechanisms. The vulnerability's classification as easily exploitable indicates that attackers with minimal privileges and network connectivity can potentially leverage this flaw to gain unauthorized access to sensitive business intelligence data. The CVSS score of 5.7 reflects the moderate severity level with high confidentiality impact, demonstrating the potential for substantial data compromise within enterprise environments that rely on business intelligence systems for critical decision-making processes.
The technical nature of this vulnerability stems from insufficient access controls within the Analytics Server component, allowing a low-privileged attacker to exploit the system through HTTP network connections. This attack vector requires human interaction from users other than the attacker, suggesting that the exploitation may involve social engineering elements or targeted user engagement to successfully compromise the system. The vulnerability's impact extends to unauthorized access to critical data and complete access to all accessible data within the Oracle Business Intelligence Enterprise Edition environment, making it particularly concerning for organizations handling sensitive business information, financial data, or proprietary analytical content. The CVSS vector analysis reveals that the attack requires low complexity, low privilege requirements, and user interaction, while maintaining an unscoped impact that could affect the entire system's data confidentiality.
The operational impact of this vulnerability creates substantial risk for enterprises utilizing Oracle Business Intelligence solutions, particularly those in regulated industries where data protection and access control are paramount. Organizations may face potential data breaches leading to intellectual property theft, financial losses, regulatory compliance violations, and reputational damage when this vulnerability is exploited. The requirement for human interaction suggests that successful exploitation may involve phishing attacks, targeted social engineering campaigns, or other user engagement techniques that could bypass traditional network security controls. Security teams must consider the implications of this vulnerability within their broader security posture, as it represents a potential entry point for attackers seeking to access sensitive business intelligence data that often contains strategic corporate information, financial metrics, and operational insights critical to business operations.
Effective mitigation strategies should include immediate deployment of Oracle's security patches and updates, implementation of network segmentation to limit access to the Analytics Server component, and enhanced monitoring of HTTP traffic for suspicious activities. Organizations should also conduct comprehensive vulnerability assessments to identify potential exploitation vectors and establish robust user access controls to minimize the impact of social engineering attacks. The remediation process must address both the immediate technical flaw and the human interaction component by implementing security awareness training programs for users who may be targeted in exploitation attempts. Additionally, organizations should consider implementing additional security controls such as web application firewalls, intrusion detection systems, and regular security audits to detect and prevent exploitation attempts that could leverage this vulnerability to compromise their business intelligence systems.