CVE-2026-83321 in Business Intelligence Enterprise Edition
Summary
by MITRE • 09/16/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Analytics Actions). Supported versions that are affected are 8.2.0.0.0 and 26.01.0.0.0. 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 unauthorized access to critical data or complete access to all Oracle Business Intelligence Enterprise Edition accessible data as well as unauthorized update, insert or delete access to some of Oracle Business Intelligence Enterprise Edition accessible data. CVSS 3.1 Base Score 8.5 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N).
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Analysis
by VulDB Data Team • 09/16/2026
The identified vulnerability resides within the Analytics Actions component of Oracle Business Intelligence Enterprise Edition, a core part of the Oracle Analytics suite. This security flaw affects specific supported versions including 8.2.0.0.0 and 26.01.0.0.0, indicating that legacy systems as well as newer deployments remain at risk if not properly patched or configured. The vulnerability is characterized by an easily exploitable condition that allows a low-privileged attacker to compromise the integrity of the system. Unlike high-severity vulnerabilities requiring administrative access or complex interaction from users, this flaw can be triggered remotely over HTTP with minimal prerequisites, making it particularly dangerous in environments where network segmentation is insufficient or internal trust models are overly permissive.
From a technical perspective, the root cause lies within how the Analytics Actions component processes requests received via standard web protocols. The lack of sufficient input validation or access control checks enables an attacker to manipulate data operations that should be restricted based on user privileges. This architectural weakness allows for unauthorized interactions with the underlying database structures managed by Oracle Business Intelligence Enterprise Edition. Because the vulnerability operates at a level where authentication is required but authorization controls are bypassed, it represents a classic case of broken access control mechanisms within enterprise software applications.
The operational impact of this vulnerability is severe due to its scope change characteristics. While technically located in Oracle Business Intelligence Enterprise Edition, successful exploitation can significantly impact additional products and services that rely on the same data infrastructure or share authentication contexts. This means that compromising one system through this vector could lead to lateral movement within an organization's IT environment. The primary consequences involve unauthorized access to critical business intelligence data, which may include sensitive financial reports, customer information, strategic plans, or proprietary analytics models. Such exposure violates fundamental confidentiality requirements and can lead to significant competitive disadvantage or regulatory penalties depending on the nature of the exposed data.
Furthermore, the vulnerability permits unauthorized update, insert, or delete operations against accessible data within Oracle Business Intelligence Enterprise Edition. This integrity impact means that an attacker is not limited to passive observation but can actively alter records, inject malicious queries, or destroy existing datasets. Such actions can corrupt analytical outputs, leading to flawed decision-making processes for business stakeholders who rely on accurate reporting. The combination of high confidentiality and moderate integrity impacts results in a CVSS 3.1 Base Score of 8.5, reflecting the critical nature of this threat vector. The attack complexity is low with no user interaction required, allowing for automated exploitation tools to target vulnerable instances efficiently across networks.
In terms of industry standard classifications, this vulnerability aligns closely with CWE-269 Improper Privilege Management and CWE-798 Use of Hard-coded Credentials if the lower privilege level relies on default configurations that are insecure. It also maps to MITRE ATT&CK techniques such as T1078 Valid Accounts, where attackers leverage existing but insufficiently restricted credentials, and potentially T1530 Data from Cloud Storage or Local System if data exfiltration occurs through cloud-integrated features of the analytics platform. Understanding these mappings helps in aligning remediation efforts with broader security frameworks like NIST SP 800-53 for access control controls AC-3 and AC-6.
Mitigation strategies must prioritize immediate patching to the latest available version provided by Oracle, which addresses the underlying code flaws within the Analytics Actions component. Organizations should also implement strict network segmentation to isolate business intelligence servers from general user networks, ensuring that only authorized application tiers can communicate with them via HTTP or HTTPS. Additionally, enforcing principle of least privilege across all database and application accounts is essential; even if an attacker gains low-level access, robust role-based access control policies should prevent escalation to critical data stores. Regular vulnerability scanning and penetration testing focused on web applications and API endpoints will help identify similar misconfigurations before they are exploited in the wild.