CVE-2026-83336 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 Server). 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 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 Analytics Server component of Oracle Business Intelligence Enterprise Edition, a critical enterprise analytics platform used for data visualization and reporting across various organizational infrastructures. This security flaw affects specific versions including 8.2.0.0.0 through to 26.01.0.0.0, indicating a long-standing issue that has persisted across multiple major releases of the software suite. The nature of this vulnerability is particularly concerning because it allows for privilege escalation and complete system compromise under conditions that are relatively easy to exploit. Unlike many high-severity vulnerabilities that require complex attack vectors or remote code execution capabilities from unauthenticated users, this flaw can be leveraged by an attacker who already possesses low-level privileges on the infrastructure hosting the Oracle Business Intelligence Enterprise Edition service. This significantly lowers the barrier for entry, as it does not require sophisticated external network access but rather local or internal network presence with basic user credentials.
From a technical perspective, the vulnerability enables a low-privileged attacker to compromise the integrity and availability of the Analytics Server by exploiting insufficient security checks within the application logic. The CVSS 3.1 base score of 7.8 reflects high impacts on confidentiality, integrity, and availability, denoted by the vector AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. This scoring indicates that while the attack requires local access (AV:L) and low complexity (AC:L), it demands only low privileges (PR:L) and no user interaction (UI:N). The scope is unchanged (S:U), meaning the impact remains confined to the vulnerable component, yet the severity of the outcome is high across all three security triads. An attacker can leverage this flaw to execute arbitrary code or manipulate system processes within the context of the service account running Oracle Business Intelligence Enterprise Edition. This typically results in full takeover of the application layer, allowing the adversary to read sensitive data stored by the BI tool, modify reports and dashboards to alter business intelligence outputs, or disrupt services causing denial of access for legitimate users.
The operational impact of such a compromise is severe for organizations relying on Oracle Analytics for decision-making processes. If an attacker gains control over the Analytics Server, they can exfiltrate confidential data that has been aggregated within the BI platform, potentially exposing proprietary business metrics, customer information, or financial records depending on the datasets integrated into the system. Furthermore, integrity violations allow attackers to tamper with reports and visualizations, which could lead to misguided strategic decisions if these altered outputs are consumed by executive leadership without verification. Availability impacts mean that critical reporting infrastructure can be taken offline, disrupting business operations that depend on real-time or scheduled data insights. The ability to achieve full takeover implies that the attacker may also use this foothold as a pivot point for further lateral movement within the internal network, targeting other connected systems such as databases or backend application servers linked to the BI environment.
In terms of industry standard classifications, this vulnerability aligns with CWE-269 Improper Privilege Management and potentially CWE-78 OS Command Injection if the exploitation involves executing system commands through the BI interface. It also maps to MITRE ATT&CK techniques related to Local Account Manipulation or Process Execution on a local host, specifically T1053 Scheduled Task/Job or T1059 Command and Scripting Interpreter depending on the specific mechanism used by the attacker to gain control. The low privilege requirement highlights a common architectural weakness where services run with excessive permissions relative to their actual functional needs, violating the principle of least privilege.
Mitigation strategies must focus on both immediate remediation and long-term hardening. Oracle should be consulted for available patches or updates that address this specific flaw in the Analytics Server component, ensuring that all supported versions are updated to a secure baseline where possible. For environments unable to patch immediately due to compatibility constraints, network segmentation is critical; restricting access to the infrastructure hosting Oracle Business Intelligence Enterprise Edition to only trusted subnets and authorized personnel can reduce the attack surface significantly. Additionally, enforcing strict least-privilege policies for service accounts running the BI software ensures that even if exploitation occurs, the potential damage is contained within a limited permission set rather than granting full system takeover. Regular auditing of user privileges and monitoring for anomalous activities on the server hosting the analytics platform can also aid in early detection and response to such intrusion attempts.