CVE-2026-83282 in Business Intelligence Enterprise Edition
Summary
by MITRE • 09/15/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Platform Security). 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. While the vulnerability is in Oracle Business Intelligence Enterprise Edition, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle Business Intelligence Enterprise Edition. CVSS 3.1 Base Score 9.9 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the Platform Security component of Oracle Business Intelligence Enterprise Edition, specifically affecting version 12.2.1.4.0 and potentially other supported releases within the Oracle Analytics suite. This flaw represents a critical security deficiency that undermines the fundamental integrity and confidentiality guarantees expected from enterprise-grade business intelligence platforms. The nature of this vulnerability allows for remote exploitation by an attacker who possesses only low-level privileges, significantly lowering the barrier to entry for malicious actors compared to vulnerabilities requiring administrative access or complex social engineering tactics.
From a technical perspective, the exploitability vector is network-based via HTTP, indicating that the flaw can be triggered remotely without any user interaction such as clicking links or opening specific files. This characteristic classifies the issue under CWE-798, which describes the use of hard-coded credentials, and potentially CWE-200, involving exposure of sensitive information to an unauthorized actor. The absence of a requirement for user interface involvement means that automated scanning tools can rapidly identify and exploit this weakness across large networks, increasing the risk of widespread compromise before patches are deployed.
The operational impact of successfully exploiting this vulnerability is severe, resulting in a complete takeover of the Oracle Business Intelligence Enterprise Edition environment. This level of access allows an attacker to execute arbitrary code within the context of the application server, effectively granting them control over the underlying operating system and associated services. The high severity rating reflects not only the ease of exploitation but also the broad scope of impact, as attacks on this component can cascade into additional products due to shared infrastructure or integrated authentication mechanisms. This aligns with ATT&CK technique T1078, Valid Accounts, where attackers leverage legitimate credentials obtained through privilege escalation or credential theft to maintain persistent access and move laterally within the network.
The CVSS 3.1 base score of 9.9 underscores the critical nature of this flaw, highlighting significant impacts on confidentiality, integrity, and availability. The vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H) confirms that while the attack complexity is low and requires only local network access with limited privileges, the scope change indicates that compromising this single component affects security properties beyond its immediate boundary. This suggests deep integration points where a breach in BI can lead to data exfiltration from connected databases or unauthorized modification of critical business reports and dashboards.
Mitigation strategies must prioritize immediate patching to the latest available version provided by Oracle, which addresses the underlying code flaws responsible for this privilege escalation path. In addition to software updates, organizations should implement strict network segmentation to limit HTTP access to BI servers only from trusted management networks or specific application tiers. Enforcing multi-factor authentication and monitoring for anomalous login patterns can further reduce the risk of exploitation. Regular vulnerability assessments focused on platform security components are essential to detect similar weaknesses before they can be leveraged by adversaries seeking high-value targets within enterprise analytics environments.