CVE-2026-83335 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 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).
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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 core part of the Oracle Analytics suite used for data visualization and reporting across enterprise environments. This flaw affects specific legacy and current versions, namely 8.2.0.0.0 through to 26.01.0.0.0, indicating that both older deployments still in operation as well as more recent installations are susceptible. The nature of this vulnerability is particularly concerning because it allows for remote exploitation by attackers who possess only low-level privileges and have network access via the HTTP protocol. This significantly lowers the barrier to entry for malicious actors, as they do not need high-privileged credentials or complex social engineering tactics involving user interaction to initiate an attack.
From a technical perspective, the vulnerability enables an attacker to compromise the integrity of the Oracle Business Intelligence Enterprise Edition system by exploiting flaws in how the server processes incoming HTTP requests. The ability to achieve full takeover suggests that the flaw likely involves improper validation of input data or insecure handling of session states and authentication mechanisms within the Analytics Server logic. When exploited successfully, this vulnerability leads to a complete compromise of the application environment. This means an attacker can execute arbitrary code, modify system configurations, access sensitive business intelligence reports containing proprietary corporate data, and potentially pivot further into other connected systems on the network. The impact is severe across all three pillars of the CIA triad: confidentiality is breached as private data becomes accessible, integrity is compromised allowing for unauthorized modifications to dashboards or underlying database queries, and availability is affected if the attacker disrupts service through resource exhaustion or destructive actions.
The severity of this issue is quantified by a CVSS 3.1 Base Score of 8.8, which classifies it as High Severity. The vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) confirms that the attack vector is Network-based with Low complexity and requires only Low privileges for the attacker to succeed. Crucially, there are no User Interaction requirements, meaning automated tools can exploit this flaw without any human engagement from a victim user. The scope remains Unchanged, indicating that the impact is confined primarily to the Oracle Analytics component itself rather than escalating directly to the underlying operating system or database server in all cases, although the takeover of the application layer often provides sufficient foothold for lateral movement. This aligns with common vulnerability classifications such as CWE-20 Improper Input Validation and potentially CWE-79 Cross-site Scripting if web-based injection is involved, though the specific mechanism depends on the exact code flaw within the Analytics Server.
In terms of threat intelligence mapping, this vulnerability facilitates techniques associated with Initial Access and Privilege Escalation in the MITRE ATT&CK framework. Attackers can leverage this to establish a persistent foothold within the organization's analytics infrastructure, which is often considered a high-value target due to its aggregation of critical business metrics. The lack of user interaction requirement makes it suitable for automated scanning campaigns targeting exposed Oracle Analytics instances on public or internal networks. Organizations relying on these versions face significant risk if they have not implemented strict network segmentation or access controls that restrict HTTP traffic from untrusted sources to the analytics servers.
To mitigate this vulnerability, immediate action is required to patch the affected systems. Oracle has likely released security patches for both version 8.2 and the newer 26.x series; administrators must apply these updates as soon as possible after verifying compatibility with their existing configurations. For environments where patching cannot be implemented immediately due to operational constraints, temporary mitigation strategies should include restricting network access to the Analytics Server using firewalls or reverse proxies that only allow connections from trusted IP addresses and subnets. Additionally, enforcing strong authentication policies and ensuring that service accounts have minimal necessary privileges can reduce the impact if an exploit is attempted. Regular vulnerability scanning of internet-facing assets is essential to detect any exposure of these services before they are actively targeted by threat actors who routinely scan for known CVEs with high CVSS scores.