CVE-2025-50060 in BI Publisher
Summary
by MITRE • 07/15/2025
Vulnerability in the Oracle BI Publisher product of Oracle Analytics (component: Web Server). Supported versions that are affected are 7.6.0.0.0, 8.2.0.0.0 and 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle BI Publisher. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle BI Publisher accessible data as well as unauthorized access to critical data or complete access to all Oracle BI Publisher accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
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Analysis
by VulDB Data Team • 07/25/2025
The vulnerability identified as CVE-2025-50060 represents a critical security flaw within Oracle BI Publisher's web server component, specifically affecting versions 7.6.0.0.0, 8.2.0.0.0, and 12.2.1.4.0 of the Oracle Analytics suite. This vulnerability resides in the web server layer of the BI Publisher application, which serves as the primary interface for users to interact with the analytics platform. The affected component processes HTTP requests and handles user authentication and authorization, making it a prime target for exploitation by malicious actors seeking unauthorized access to sensitive business intelligence data. The vulnerability's classification as easily exploitable indicates that attackers with minimal technical expertise and network access can leverage this flaw to gain significant control over the affected system.
The technical nature of this vulnerability stems from insufficient access controls and authentication mechanisms within the web server component, allowing low-privileged attackers to bypass normal security restrictions. According to CVSS 3.1 scoring, the vulnerability carries a base score of 8.1, reflecting high severity across both confidentiality and integrity impacts. The CVSS vector (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N) reveals that exploitation requires only network access with low complexity, can be performed by users with low privileges, does not require user interaction, and affects the entire system without causing availability impacts. The vulnerability enables attackers to perform unauthorized modifications to critical data, including creation, deletion, and modification operations that can fundamentally alter the integrity of business intelligence reports and datasets. This flaw essentially provides attackers with comprehensive access rights that should normally be restricted to privileged administrators.
The operational impact of CVE-2025-50060 extends beyond simple data compromise, as it creates a pathway for attackers to manipulate critical business intelligence data that organizations rely upon for strategic decision-making. Organizations utilizing Oracle BI Publisher for financial reporting, operational analytics, or strategic planning face significant risks when this vulnerability remains unaddressed. The potential for unauthorized data access and modification means that attackers could alter financial reports, manipulate performance metrics, or corrupt analytical datasets that could have severe financial and operational consequences. This vulnerability particularly threatens industries that depend heavily on accurate business intelligence, such as financial services, healthcare, and manufacturing sectors where data integrity is paramount for compliance and operational effectiveness. The impact is further amplified by the fact that this vulnerability affects multiple versions of Oracle Analytics, suggesting a widespread exposure across organizations that may have deployed different release versions of the software.
Mitigation strategies for CVE-2025-50060 should prioritize immediate patching of affected systems with Oracle's official security updates, as recommended by the Common Vulnerabilities and Exposures (CVE) database and aligned with industry best practices for vulnerability management. Organizations should implement network segmentation to limit access to the affected BI Publisher components, particularly restricting HTTP access to authorized administrative networks and implementing strict firewall rules that limit exposure to external threats. According to ATT&CK framework considerations, this vulnerability aligns with techniques involving privilege escalation and data manipulation, making network monitoring and anomaly detection crucial for identifying potential exploitation attempts. Additional protective measures include implementing robust authentication controls, enabling multi-factor authentication for administrative access, and conducting comprehensive access reviews to ensure that users maintain only necessary privileges. Security teams should also establish monitoring protocols to detect unauthorized modifications to critical data sets and implement regular security assessments to identify similar vulnerabilities within the broader Oracle Analytics ecosystem. The vulnerability's classification under CWE categories related to insufficient access control and authentication flaws underscores the importance of implementing defense-in-depth strategies that address multiple layers of security protection.