CVE-2020-4871 in Planning Analytics
Summary
by MITRE • 01/19/2021
IBM Planning Analytics 2.0 allows web pages to be stored locally which can be read by another user on the system. IBM X-Force ID: 190834.
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Analysis
by VulDB Data Team • 02/15/2021
IBM Planning Analytics version 2.0 contains a critical security flaw that enables unauthorized data exposure through improper local storage handling. This vulnerability arises from the application's failure to properly isolate web page content stored locally on the system, creating a cross-user data leakage scenario where one user's stored content can be accessed by subsequent system users. The issue stems from inadequate sandboxing mechanisms and insufficient access controls within the local storage implementation, allowing for privilege escalation through data persistence attacks. This vulnerability directly maps to CWE-200, Information Exposure, and CWE-250, Execution with Unnecessary Privileges, as it enables unauthorized information disclosure and potential privilege abuse. The flaw exists at the application layer where web content is cached or stored locally without proper user context separation, creating a persistent threat vector that can be exploited by any user who gains access to the system after the initial storage operation.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable attackers to access sensitive business planning data, financial forecasts, strategic models, and other proprietary information that should remain isolated to specific user contexts. When multiple users share the same system or when system administrators perform maintenance operations, the stored web content can be inadvertently exposed to unauthorized parties, potentially compromising competitive intelligence and strategic business decisions. This vulnerability particularly affects organizations using shared computing environments or those with multiple concurrent users accessing the same planning analytics system. The risk is exacerbated in environments where users may not fully understand the implications of local storage or where system access controls are not properly configured to prevent cross-user contamination. Attackers can leverage this weakness to perform reconnaissance activities, gather intelligence about business operations, or potentially combine this information with other vulnerabilities to achieve more significant compromises.
Mitigation strategies for this vulnerability should focus on implementing robust user context isolation mechanisms within the local storage subsystem. Organizations should ensure that all locally stored web content is properly scoped to individual user sessions and that storage operations include appropriate access controls and encryption measures. The system should enforce strict separation between user data contexts, preventing one user's stored content from being accessible to others through local storage mechanisms. Security controls should include mandatory access controls, proper file system permissions, and user session management that prevents data leakage across user boundaries. Additionally, organizations should implement regular security assessments to identify and remediate similar storage-related vulnerabilities throughout their planning analytics infrastructure. The mitigation approach should align with ATT&CK technique T1074.001, Data Staged, by ensuring that any local data storage operations are properly secured and isolated to prevent unauthorized access. System administrators should also consider implementing monitoring and alerting mechanisms to detect unusual local storage access patterns that might indicate exploitation attempts. Regular updates and patches from IBM should be applied promptly to address this vulnerability and maintain the integrity of the planning analytics environment.