CVE-2026-71099 in Business Intelligence Enterprise Edition
Summary
by MITRE • 08/19/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Analytics Web Answers). The supported version that is affected is 26.01.0.0.0. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP 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 7.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 08/19/2026
The identified vulnerability resides within the Analytics Web Answers component of Oracle Business Intelligence Enterprise Edition, specifically affecting version 26.01.0.0.0 and potentially other supported releases within the Oracle Analytics suite. This security flaw is classified as a high-severity issue with a CVSS v3.1 base score of 7.2, indicating significant potential for system compromise. The vulnerability vector indicates that it can be exploited over the network via HTTP, requiring no user interaction but necessitating high-privileged attacker access to initiate an attack. This combination of factors suggests that while remote exploitation is possible, the requirement for elevated privileges implies that initial foothold or lateral movement within the organization's infrastructure may already have occurred prior to exploiting this specific flaw.
From a technical perspective, the vulnerability allows an authenticated user with administrative or high-level privileges to execute actions that lead to complete takeover of the Oracle Business Intelligence Enterprise Edition environment. Such takeovers typically involve unauthorized modification of system configurations, injection of malicious code into reports or dashboards, or direct execution of operating system commands depending on the underlying implementation details of the Web Answers component. The impact encompasses all three pillars of the CIA triad: confidentiality is compromised as sensitive business intelligence data can be exfiltrated; integrity is undermined because attackers can alter analytical outputs and configurations to mislead decision-making processes; and availability is threatened through potential denial-of-service conditions or system instability caused by malicious inputs. This aligns with Common Weakness Enumeration categories such as CWE-269, which addresses Improper Privilege Management, where the application fails to enforce appropriate restrictions on privileged accounts, allowing them to perform actions that compromise security boundaries.
The operational impact of this vulnerability is severe for organizations relying on Oracle Business Intelligence Enterprise Edition for critical data analytics and reporting. A successful exploitation could lead to significant reputational damage due to public exposure of confidential corporate strategies embedded in reports. Furthermore, the integrity breach means that executive decisions based on manipulated dashboards or analytical models could result in substantial financial losses or strategic missteps. The ability to take over the entire system implies that attackers may use this foothold as a pivot point for further attacks against other connected systems within the enterprise network, escalating their access from application-level privileges to full infrastructure control. This scenario is consistent with MITRE ATT&CK techniques related to Privilege Escalation and Defense Evasion, where adversaries leverage existing high-privilege accounts to bypass security controls and maintain persistent access without detection by standard monitoring tools.
Mitigation strategies must focus on both immediate remediation and long-term architectural hardening. The primary action is to apply the latest security patches provided by Oracle for version 26.01.0.0.0 of Oracle Analytics, ensuring that all components including Analytics Web Answers are updated to address this specific flaw. Organizations should also enforce strict access controls on administrative interfaces, utilizing multi-factor authentication and role-based access control principles to limit who can hold high-privileged accounts within the BI environment. Network segmentation is critical; administrators should restrict HTTP access to management consoles and analytical tools to trusted internal networks or secure virtual private network connections rather than exposing them directly over public internet channels. Additionally, implementing comprehensive logging and monitoring solutions that detect anomalous administrative activities, such as unusual configuration changes or data exports from high-privilege accounts, can help identify potential exploitation attempts in real-time. Regular vulnerability assessments and penetration testing should be conducted to proactively identify similar privilege management weaknesses across the analytics infrastructure before they can be exploited by malicious actors seeking to compromise organizational integrity and confidentiality.