CVE-2026-83293 in Business Intelligence Enterprise Edition
Summary
by MITRE • 09/15/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: FNDN). The supported version that is affected is 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Business Intelligence Enterprise Edition executes to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks of this vulnerability can result in takeover of Oracle Business Intelligence Enterprise Edition. CVSS 3.1 Base Score 7.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the FNDN component of Oracle Business Intelligence Enterprise Edition, specifically affecting version 12.2.1.4.0 which is part of the broader Oracle Analytics suite. This security flaw represents a critical risk to organizations relying on this platform for data analytics and reporting operations. The nature of the defect allows an attacker with low privileges who has already established logon access to the infrastructure hosting the application to escalate their influence significantly. Unlike vulnerabilities that require remote network exploitation or complex user interaction, this issue leverages local system access combined with minimal authentication requirements, indicating a failure in proper privilege separation and input validation within the FNDN module.
From a technical perspective, the vulnerability enables an attacker who has obtained low-level credentials on the host machine to compromise the integrity of the Oracle Business Intelligence Enterprise Edition environment. The ease of exploitation suggests that the underlying code does not adequately sanitize inputs or enforce strict access controls when processing requests from authenticated but unprivileged users within the infrastructure layer. This architectural weakness allows the malicious actor to execute unauthorized operations, effectively bypassing intended security boundaries. The impact is severe because it leads directly to a complete takeover of the application environment, granting the attacker control over critical business intelligence functions and underlying system resources.
The operational impact of this vulnerability is substantial, as reflected by its CVSS 3.1 base score of 7.8, which classifies it as High severity. The vector string (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) indicates that the attack requires local access and low privileges but has no user interface interaction requirement and results in high impacts on confidentiality, integrity, and availability. This means an attacker can potentially exfiltrate sensitive data stored within the analytics platform, modify reports or configurations to mislead decision-makers, or disrupt service availability by crashing services or locking out legitimate users. The lack of scope change (S:U) implies that while the compromise is contained primarily within the Oracle Business Intelligence Enterprise Edition environment, the internal damage can be extensive due to the central role such platforms often play in enterprise data strategies.
To mitigate this risk, organizations must prioritize immediate patching by applying the latest security updates provided by Oracle for version 12.2.1.4.0 and subsequent releases where the flaw has been addressed. Beyond software remediation, strict access control policies should be enforced to ensure that only essential personnel have logon access to the infrastructure hosting critical analytics components. Implementing principle of least privilege is crucial; administrative accounts must not share credentials with standard user accounts, and network segmentation should isolate database and application servers from general corporate networks where possible. Additionally, continuous monitoring for anomalous login patterns or unexpected process executions within the BI environment can help detect potential exploitation attempts early.
This vulnerability aligns with common weakness classifications such as CWE-269 Improper Privilege Management and potentially CWE-78 OS Command Injection if the takeover involves executing system commands through the application interface. In terms of adversary tactics, this scenario maps to MITRE ATT&CK techniques related to Local Account Manipulation or Defense Evasion, where an attacker uses existing low-level access to gain higher privileges within a specific software stack. Security teams should review their authentication mechanisms and ensure that multi-factor authentication is enforced for all administrative interfaces associated with Oracle Analytics components to reduce the attack surface available to potential intruders who may have gained initial foothold through other vectors such as phishing or network scanning.