CVE-2026-71056 in Business Intelligence Enterprise Edition
Summary
by MITRE • 08/19/2026
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: BI Search). Supported versions that are affected are 8.2.0.0.0, 12.2.1.4.0 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. CVSS 3.1 Base Score 7.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 08/19/2026
The identified vulnerability resides within the BI Search component of Oracle Business Intelligence Enterprise Edition, a core module of the Oracle Analytics suite. This security flaw affects multiple supported versions including 8.2.0.0.0, 12.2.1.4.0, and 26.01.0.0.0, indicating that legacy systems as well as more recent deployments are susceptible to exploitation. The nature of this vulnerability allows for remote code execution or data exfiltration through a specific flaw in how the search functionality processes user inputs over HTTP protocols. Because the attack vector is network-based and requires no user interaction, it presents a significant risk to organizations that rely on these analytics platforms for critical business intelligence operations.
From a technical perspective, this vulnerability enables low-privileged attackers with network access via HTTP to compromise the integrity of Oracle Business Intelligence Enterprise Edition. The exploitation does not require authentication or complex social engineering tactics, making it highly accessible to threat actors who have gained some level of network proximity to the target system. The CVSS 3.1 base score of 7.7 reflects a high severity rating primarily driven by confidentiality impacts. This indicates that while the attacker may not necessarily gain full control over the underlying operating system or modify data, they can access sensitive information stored within the BI environment with significant ease.
The operational impact of this vulnerability extends beyond the immediate scope of Oracle Business Intelligence Enterprise Edition due to a potential scope change in attack scenarios. Successful exploitation allows unauthorized access to critical data and potentially complete access to all accessible data within the platform. This means that proprietary business metrics, customer information, financial reports, or other sensitive datasets could be exfiltrated by an attacker. The ability to read arbitrary files or query internal databases without proper authorization undermines the fundamental security principles of confidentiality and integrity upon which enterprise analytics platforms are built.
In terms of industry standard classifications, this vulnerability aligns with CWE-200, which covers Exposure of Sensitive Information to an Unauthorized Actor, as well as potentially CWE-79 if cross-site scripting elements are involved in the search input handling. From a tactical standpoint, it maps to MITRE ATT&CK techniques related to Initial Access and Collection, specifically those involving web application attacks or exploitation of service vulnerabilities for data staging. The low complexity and lack of required user interaction place this threat in the category of high-risk automated exploits that can be leveraged by script kiddies as well as advanced persistent threats seeking initial footholds within an enterprise network.
Mitigation strategies must prioritize immediate patching to the latest available version provided by Oracle, which addresses the underlying code flaws in the BI Search component. Organizations should also implement strict access controls and role-based permissions to ensure that even if exploitation occurs, the attacker's privileges are limited. Network segmentation is recommended to isolate analytics servers from general user networks, reducing the attack surface for low-privileged attackers. Additionally, deploying web application firewalls can help detect and block malicious HTTP requests targeting the vulnerable search endpoints before they reach the application layer. Regular security audits and penetration testing should be conducted to identify similar weaknesses in other integrated systems that may share data with or depend on Oracle Business Intelligence Enterprise Edition.