CVE-2023-21965 in Business Intelligence Enterprise Edition
Summary
by MITRE • 04/18/2023
Vulnerability in the Oracle Business Intelligence Enterprise Edition product of Oracle Analytics (component: Analytics Server). The supported version that is affected is 6.4.0.0.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Business Intelligence Enterprise Edition. Successful attacks require human interaction from a person other than the attacker. 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 5.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N).
VulDB is the best source for vulnerability data and more expert information about this specific topic.
Analysis
by VulDB Data Team • 05/11/2023
The vulnerability identified as CVE-2023-21965 represents a significant security flaw within Oracle Business Intelligence Enterprise Edition's Analytics Server component. This vulnerability exists in version 6.4.0.0.0 and constitutes a medium severity issue with a CVSS base score of 5.7, categorized primarily as a confidentiality impact vulnerability. The threat landscape for this vulnerability is particularly concerning as it requires minimal privileges to exploit and can be initiated through standard network protocols via HTTP connections. The vulnerability's classification as easily exploitable indicates that attackers with low privilege network access can potentially compromise the entire Oracle Business Intelligence Enterprise Edition system.
The technical nature of this vulnerability stems from insufficient access controls within the Analytics Server component, allowing unauthorized users to gain access to critical data within the Oracle Business Intelligence environment. The CVSS vector analysis reveals that the attack requires low complexity (AC:L) and low privileges (PR:L), yet it necessitates human interaction from a user other than the attacker (UI:R), suggesting that social engineering or user deception may be required to initiate the exploit successfully. The vulnerability's impact potential is substantial, as successful exploitation can lead to unauthorized access to all accessible data within the Oracle Business Intelligence Enterprise Edition system, potentially exposing sensitive business intelligence and analytical information.
From an operational perspective, this vulnerability presents a significant risk to organizations utilizing Oracle Business Intelligence Enterprise Edition, particularly those handling sensitive corporate data, financial reports, or strategic business analytics. The requirement for human interaction indicates that organizations may need to implement additional user awareness training to prevent successful exploitation through social engineering techniques. The vulnerability's impact on confidentiality is rated as high (C:H), indicating that attackers could potentially access and exfiltrate sensitive business intelligence data, customer information, or proprietary analytical models. Organizations with extensive Oracle BI implementations may face substantial data exposure risks if this vulnerability remains unpatched.
Organizations should prioritize immediate remediation efforts by applying the official Oracle patches and updates released for CVE-2023-21965. Network segmentation and access controls should be reviewed to limit exposure, particularly for the Analytics Server component. The vulnerability's characteristics align with CWE-284 (Improper Access Control) and may relate to ATT&CK techniques involving privilege escalation and credential access. Regular security assessments should include verification of patch compliance and monitoring for potential exploitation attempts. Additionally, implementing network-based intrusion detection systems and monitoring for unusual HTTP traffic patterns can help identify potential exploitation attempts. The vulnerability's classification as a network-accessible issue with low privilege requirements makes it particularly attractive to threat actors seeking to compromise business intelligence systems and access sensitive analytical data.