CVE-2026-83285 in Business Intelligence Enterprise Edition
Summary
by MITRE • 09/16/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: BI Search). The supported version that is affected is 12.2.1.4.0. 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 creation, deletion or modification access to critical data or all Oracle Business Intelligence Enterprise Edition accessible data as well as unauthorized access to critical data or complete access to all Oracle Business Intelligence Enterprise Edition accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Business Intelligence Enterprise Edition. CVSS 3.1 Base Score 8.3 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the BI Search component of Oracle Business Intelligence Enterprise Edition, specifically affecting version 12.2.1.4.0 and potentially other versions in the supported lifecycle. This security flaw is classified as a high-severity issue with a CVSS 3.1 base score of 8.3, indicating significant risk to confidentiality, integrity, and availability. The vulnerability stems from an insufficient input validation or access control mechanism within the search functionality, which allows attackers to manipulate requests in ways that bypass intended security restrictions. Because the attack vector is network-based via HTTP, remote exploitation does not require physical proximity or local system access, making it a critical concern for any organization deploying this analytics platform on accessible networks.
The technical nature of this flaw permits low-privileged users with valid credentials and network connectivity to execute unauthorized operations against the underlying data stores managed by Oracle Business Intelligence Enterprise Edition. The attacker can leverage the search interface to perform actions that should be restricted, such as creating, deleting, or modifying critical metadata and report definitions. This capability directly impacts the integrity of the business intelligence environment, allowing an adversary to alter reports, dashboards, or security configurations without authorization. Furthermore, the vulnerability enables unauthorized access to sensitive data that is accessible through the BI platform, leading to a severe compromise of confidentiality for proprietary information, customer records, or financial metrics stored within the system.
Beyond data manipulation and exfiltration, this vulnerability also poses a threat to service availability. Successful exploitation can result in a partial denial of service condition, where the Oracle Business Intelligence Enterprise Edition becomes unresponsive or degraded due to resource exhaustion caused by malicious search queries or state corruption. This impact aligns with common attack patterns observed in enterprise analytics platforms, where attackers target core services to disrupt business operations. The combination of unauthorized data access and potential service disruption creates a multifaceted threat landscape that can lead to significant operational downtime and regulatory compliance failures for affected organizations.
From an industry standards perspective, this vulnerability maps closely to CWE-269 Improper Privilege Management or CWE-862 Missing Authorization, as it allows a lower-privileged user to perform actions reserved for higher privileges. Additionally, the exploitation technique likely corresponds to ATT&CK techniques such as T1078 Valid Accounts and potentially T1530 Data from Cloud Storage if data exfiltration is involved. The network-based nature of the attack via HTTP places it within the context of remote code execution or server-side request forgery patterns often seen in web application vulnerabilities, although here the impact is focused on administrative control over BI content rather than arbitrary OS command execution.
Mitigation strategies must prioritize immediate patching to the latest supported version of Oracle Business Intelligence Enterprise Edition that includes security fixes for this specific flaw. Organizations should also implement strict network segmentation to limit HTTP access to the BI server only from trusted management networks or through secure, authenticated proxies with additional inspection capabilities. Enforcing multi-factor authentication and reviewing user privileges to ensure least-privilege principles are applied can reduce the attack surface by limiting the number of low-privileged accounts that could potentially exploit this vulnerability. Continuous monitoring for anomalous search queries or unusual data access patterns should be established using SIEM solutions to detect potential exploitation attempts in real-time, ensuring rapid incident response if a breach is suspected.