CVE-2022-21615 in Enterprise Data Quality
Summary
by MITRE • 10/19/2022
Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware (component: Dashboard). Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Enterprise Data Quality. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Enterprise Data Quality, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Enterprise Data Quality accessible data. CVSS 3.1 Base Score 7.4 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 04/26/2026
The vulnerability identified as CVE-2022-21615 resides within Oracle Enterprise Data Quality, a component of Oracle Fusion Middleware that operates within the dashboard functionality. This security flaw affects specifically version 12.2.1.3.0 and 12.2.1.4.0 of the software, representing a significant risk to organizations utilizing these platforms. The vulnerability classification as easily exploitable indicates that malicious actors can leverage this weakness without requiring specialized skills or extensive preparation, making it particularly dangerous in production environments where such systems are often accessible over networks.
The technical nature of this vulnerability involves an authentication bypass mechanism that allows unauthenticated attackers to access Oracle Enterprise Data Quality through HTTP network connections. This flaw operates at the application layer and specifically targets the dashboard component, which typically serves as a central interface for monitoring and managing data quality processes. The CVSS score of 7.4 reflects the high severity of potential confidentiality impacts, with the vector indicating network accessibility, low attack complexity, no privilege requirements, and requiring user interaction. The scope change aspect of this vulnerability is particularly concerning as it suggests that successful exploitation could potentially affect additional products beyond the primary target, indicating a broader attack surface.
The operational impact of this vulnerability extends beyond simple unauthorized access to encompass potential complete compromise of all accessible data within Oracle Enterprise Data Quality. This represents a critical risk for organizations that rely on data quality dashboards for business intelligence, data governance, and regulatory compliance purposes. The requirement for human interaction, while potentially limiting automated exploitation, does not eliminate the threat as social engineering or targeted attacks could still successfully leverage this weakness. Organizations may face significant data breaches, regulatory violations, and business disruption if this vulnerability is exploited, particularly given that the dashboard component often provides access to sensitive data processing workflows and quality metrics.
Mitigation strategies for CVE-2022-21615 should prioritize immediate patching of affected systems with Oracle's security updates, as recommended by Oracle's security advisories. Network segmentation and access controls should be implemented to limit exposure of the vulnerable dashboard components to untrusted networks. Organizations should also consider implementing intrusion detection systems to monitor for suspicious HTTP traffic patterns that might indicate exploitation attempts. The vulnerability aligns with CWE-287, which addresses authentication issues, and represents a potential entry point for attackers following ATT&CK technique T1190 for exploit public-facing application. Regular security assessments and vulnerability scanning should be conducted to identify and remediate similar weaknesses across the enterprise infrastructure, particularly in middleware and data quality platforms that may be similarly affected by authentication bypass vulnerabilities.