CVE-2026-87263 in Business Intelligence Enterprise Edition
Summary
by MITRE • 10/21/2026
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 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 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 10/21/2026
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 numerous organizations. This flaw affects specific legacy and current versions including 8.2.0.0.0 through to 26.01.0.0.0, indicating that both older deployments still in operation as well as newer installations remain susceptible to exploitation. The nature of this vulnerability is particularly severe because it allows for remote code execution or complete system compromise without the need for user interaction or complex preconditions beyond basic network connectivity.
From a technical perspective, the core issue stems from insufficient input validation and improper access control mechanisms within the HTTP handling routines of the Analytics Server. An attacker with low privileges who has established network access to the target system can craft specific malicious requests sent over the HTTP protocol. These crafted packets exploit logic errors or buffer management flaws that allow the attacker to bypass standard authentication checks or execute arbitrary commands on the underlying operating system hosting the Oracle service. The vulnerability does not require any user interface interaction, meaning it is fully automatable and highly scalable for automated attack tools.
The operational impact of this flaw is catastrophic due to its high severity rating of 8.8 on the CVSS v3.1 scale. A successful exploitation results in a complete takeover of the Oracle Business Intelligence Enterprise Edition environment. This means an attacker gains full administrative control over the application, allowing them to exfiltrate sensitive corporate data stored within reports and dashboards, alter or destroy critical business intelligence assets, and potentially use the compromised server as a pivot point for further attacks against other internal systems. The high scores in confidentiality, integrity, and availability indicate that all three pillars of security are severely compromised, leading to potential regulatory violations under frameworks such as GDPR or HIPAA if personal data is exposed, alongside significant operational downtime.
In terms of industry classification standards, this vulnerability aligns with CWE-287 Improper Authentication and CWE-94 Command Injection depending on the specific code path exploited within the Analytics Server. The attack vector corresponds to ATT&CK technique T1059 Command and Scripting Interpreter if arbitrary commands are executed, or T1078 Valid Accounts if low-privileged credentials are abused for initial access before privilege escalation occurs. The network-based nature of the exploit places it firmly in the Remote Code Execution category, which is consistently among the most dangerous vulnerability classes due to its direct impact on system integrity and availability.
Mitigation strategies must be implemented immediately given the high risk profile. Organizations should apply the latest security patches provided by Oracle for their specific version of Business Intelligence Enterprise Edition as soon as they are available in the Critical Patch Update cycle. For systems that cannot be patched immediately, network-level controls such as Web Application Firewalls can be configured to inspect HTTP traffic for known exploit patterns associated with this vulnerability. Additionally, restricting access to the Analytics Server interface to only trusted IP addresses via firewall rules or VPNs reduces the attack surface significantly by limiting exposure to low-privileged attackers on general networks. Regular auditing of user privileges and ensuring that no unnecessary services are exposed to external networks further hardens the environment against such exploitation attempts.