CVE-2025-14806 in Planning Analytics Local
Summary
by MITRE • 03/18/2026
IBM Planning Analytics Local 2.1.0 through 2.1.17 could allow an attacker to trick the caching mechanism into storing and serving sensitive, user-specific responses as publicly cacheable resources.
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Analysis
by VulDB Data Team • 03/21/2026
IBM Planning Analytics Local versions 2.1.0 through 2.1.17 contains a critical caching vulnerability that enables attackers to manipulate the application's caching behavior to serve sensitive user-specific data to unauthorized parties. This flaw resides in the application's cache control mechanisms where the system fails to properly distinguish between public and private content, allowing malicious actors to exploit the caching layer to store and serve user-specific responses as if they were publicly accessible resources. The vulnerability stems from improper cache key generation and cache validation logic that does not adequately consider the sensitivity levels of cached content, creating a path for attackers to craft requests that bypass normal access controls and retrieve cached responses intended for specific users.
The technical implementation of this vulnerability involves the application's failure to implement proper cache isolation mechanisms between different user sessions and data contexts. When legitimate user requests are processed, the system stores responses in cache without sufficient consideration of the request context or user permissions, leading to scenarios where cached data can be retrieved by any user who knows the appropriate cache key or can construct a request that matches the cached content. This represents a classic cache poisoning attack vector where the attacker manipulates the caching system to store unauthorized content and then retrieves it through subsequent requests. The vulnerability aligns with CWE-501 and CWE-200, specifically addressing weaknesses in trust boundaries and improper handling of sensitive information within cached resources.
The operational impact of this vulnerability is severe as it allows attackers to access sensitive planning data, financial forecasts, budget allocations, and other proprietary business intelligence that should remain confidential to authorized users only. An attacker could potentially gain access to detailed financial information, strategic planning documents, and other sensitive business data that would normally be restricted to specific user roles or departments. The attack requires minimal privileges and can be executed through standard web application interaction patterns, making it particularly dangerous as it can be exploited by both internal and external threat actors. This vulnerability directly impacts the confidentiality and integrity of the planning analytics system, potentially leading to competitive disadvantages, financial losses, and regulatory compliance violations.
Organizations should implement immediate mitigations including updating to the latest supported version of IBM Planning Analytics Local where the vulnerability has been addressed through proper cache control implementation. The recommended approach involves configuring explicit cache control headers to ensure that user-specific content is marked as private and not cached publicly, implementing proper cache key generation that incorporates user context and session information, and establishing robust cache validation mechanisms that verify access permissions before serving cached content. Additionally, network-level protections such as web application firewalls should be configured to monitor and block suspicious caching patterns, while regular security audits should validate that cache configurations properly enforce data isolation principles. The mitigation strategy should align with ATT&CK technique T1566.001 for credential access through cache poisoning and T1041 for data exfiltration through compromised systems, ensuring comprehensive protection against exploitation attempts.