CVE-2026-91600 in Business Intelligence Enterprise Edition
Summary
by MITRE • 10/22/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Visual Analyzer). The supported version that is affected is 26.01.0.0.0. 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 read access to a subset of Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).
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Analysis
by VulDB Data Team • 10/22/2026
The identified vulnerability resides within the Visual Analyzer component of Oracle Business Intelligence Enterprise Edition, specifically affecting version 26.01.0.0.0 which is part of the broader Oracle Analytics suite. This software platform provides enterprise-grade business intelligence capabilities, including data visualization and analysis tools that allow users to interact with complex datasets through intuitive graphical interfaces. The Visual Analyzer module serves as a critical interface for creating ad-hoc reports and dashboards, making it a high-value target for attackers seeking to access sensitive organizational data without proper authorization.
The core technical flaw in this vulnerability is an unauthorized read access issue stemming from insufficient access control mechanisms within the application logic. An attacker with low privileges who possesses network connectivity via HTTP can exploit this weakness to retrieve information that should be restricted by role-based permissions or row-level security policies defined within the BI environment. The exploitation does not require user interaction, meaning it can be automated and executed remotely over standard web protocols without needing social engineering tactics such as phishing links. This characteristic significantly lowers the barrier for entry compared to vulnerabilities requiring complex multi-step interactions or specific client-side conditions.
From a classification perspective, this vulnerability aligns with CWE-284 Improper Access Control, where the system fails to enforce appropriate restrictions on authenticated users regarding access to resources and functions. Furthermore, in terms of offensive security frameworks like MITRE ATT&CK, this behavior corresponds to techniques involving Data from Information Repositories or potentially Credential Access if the retrieved data includes sensitive metadata that aids further lateral movement. The attack vector is classified as Network with Low Attack Complexity, indicating that standard network tools can be used to trigger the flaw reliably against vulnerable instances exposed on a network.
The operational impact of this vulnerability centers exclusively on confidentiality loss rather than integrity or availability. Successful exploitation allows an attacker to read a subset of data accessible within Oracle Business Intelligence Enterprise Edition. While the scope is limited to readable content and does not permit modification of existing records or disruption of service, the exposure of proprietary business metrics, financial figures, customer lists, or strategic plans can have severe consequences for affected organizations. The disclosure of such information may lead to competitive disadvantage, regulatory non-compliance under frameworks like GDPR or HIPAA if personal data is involved, and erosion of stakeholder trust.
The CVSS 3.1 base score of 4.3 reflects a medium severity rating driven primarily by the confidentiality impact while acknowledging that integrity and availability remain unaffected. The vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N) confirms that although the attacker requires low privileges, the lack of user interaction and network accessibility makes it a practical threat for opportunistic attackers scanning public-facing or internal web services running this specific version.
Mitigation strategies should prioritize immediate patching to the latest supported release of Oracle Business Intelligence Enterprise Edition where these access control checks have been hardened by Oracle Engineering. In scenarios where patching is not immediately feasible, organizations must implement strict network segmentation to restrict HTTP access to BI servers from untrusted networks and enforce robust authentication policies that limit low-privilege accounts with minimal necessary permissions. Additionally, deploying Web Application Firewalls can help detect and block anomalous requests targeting the Visual Analyzer endpoints, providing a layer of defense in depth while permanent remediation is prepared. Regular auditing of user roles and data access logs should also be conducted to identify any potential exploitation attempts or misconfigurations that could exacerbate this risk.