CVE-2026-101531 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 unauthenticated attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. 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 7.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).
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Analysis
by VulDB Data Team • 10/21/2026
The identified vulnerability resides within the Analytics Server component of Oracle Business Intelligence Enterprise Edition, a core part of the Oracle Analytics suite used for data visualization and business intelligence reporting. This security flaw affects specific legacy and current versions, notably 8.2.0.0.0 through to 26.01.0.0. The nature of this vulnerability is particularly severe because it allows an unauthenticated attacker with network access via HTTP to compromise the system without requiring any user interaction or prior credentials. This lack of authentication requirement significantly lowers the barrier for exploitation, enabling remote attackers who can reach the service over a network connection to execute malicious actions against the target infrastructure.
From a technical perspective, this flaw represents a critical failure in access control mechanisms within the Analytics Server. The vulnerability aligns with CWE-287, which describes Improper Authentication, and potentially CWE-306 for Missing Authentication for Critical Function if specific administrative or data retrieval functions are exposed without proper verification. By exploiting this weakness, an attacker can bypass standard security controls that should restrict access to sensitive areas of the application. The attack vector is classified as Network (AV:N) with Low Complexity (AC:L), indicating that no specialized conditions or user interaction are needed to trigger the exploit. This simplicity makes it a high-risk issue for any organization exposing this service to internal or external networks without adequate perimeter security controls such as web application firewalls or strict network segmentation.
The operational impact of successfully exploiting this vulnerability is substantial, primarily centered around data confidentiality and integrity risks. As indicated by the CVSS 3.1 base score of 7.5, which is driven entirely by high Confidentiality impacts, an attacker can gain unauthorized access to critical business data stored within the Oracle Business Intelligence Enterprise Edition environment. In worst-case scenarios, this could lead to complete access to all accessible data managed by the platform. This includes sensitive corporate metrics, financial reports, customer information, and strategic analytics that are typically protected behind authentication gates. The lack of Impact on Integrity (I:N) or Availability (A:N) in the CVSS vector suggests that while data theft is the primary concern, direct system modification or denial-of-service attacks may not be directly facilitated by this specific flaw alone, though secondary impacts could arise from further exploitation steps enabled by initial access.
In terms of threat modeling and adversary behavior, this vulnerability facilitates early-stage attack activities such as Reconnaissance (T1592) if used to gather information about the system configuration or data structures, followed by Credential Access (T1078) implications if session tokens are stolen, or Data Exfiltration (T1041/T1567) directly from the database layer. The ability to access critical data without authentication undermines the fundamental security principle of least privilege and exposes organizations to significant regulatory compliance risks under frameworks like GDPR, HIPAA, or PCI-DSS due to potential exposure of personally identifiable information or protected health information.
To mitigate this risk, immediate action is required to patch the Oracle Business Intelligence Enterprise Edition software to a version that includes the fix for this vulnerability. Organizations should verify their current installation versions against the supported list and apply the latest security patches provided by Oracle. In addition to patching, it is critical to ensure that the Analytics Server is not directly exposed to untrusted networks via HTTP. Implementing network-level access controls such as IP whitelisting or restricting access to specific administrative subnets can provide a layer of defense in depth. Furthermore, migrating from HTTP to HTTPS with strong TLS configurations ensures encryption in transit and reduces the risk of session hijacking if other vulnerabilities exist. Regular security assessments and penetration testing should be conducted to identify similar misconfigurations where authentication requirements may have been inadvertently disabled or bypassed in custom deployments.