CVE-2020-4985 in Planning Analytics
Summary
by MITRE • 05/15/2021
IBM Planning Analytics Local 2.0 could allow an attacker to obtain sensitive information due to accepting body parameters in a query. IBM X-Force ID: 192642.
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Analysis
by VulDB Data Team • 05/16/2021
IBM Planning Analytics Local 2.0 contains a vulnerability that allows attackers to extract sensitive information through improper handling of query parameters. This issue arises when the system accepts body parameters within queries without adequate validation or sanitization, creating a potential information disclosure vector. The vulnerability stems from insufficient input validation mechanisms that fail to properly filter or escape user-supplied data before processing. Attackers can exploit this weakness by crafting malicious query requests that include crafted body parameters designed to extract unauthorized data from the system. This type of vulnerability aligns with CWE-20, which describes improper input validation as a fundamental security flaw that can lead to various downstream security issues. The flaw represents a classic example of how inadequate parameter handling can create pathways for data exfiltration and unauthorized information access.
The operational impact of this vulnerability extends beyond simple information disclosure, as it can enable attackers to gain insights into system internals, user data, or business-critical information stored within the planning analytics environment. When an attacker successfully exploits this vulnerability, they may be able to retrieve database contents, configuration details, or other sensitive artifacts that could aid in further exploitation attempts. The vulnerability's classification under the ATT&CK framework would likely map to T1071.004 for application layer protocol manipulation and potentially T1005 for data from local system. Organizations using IBM Planning Analytics Local 2.0 may face significant risks including regulatory compliance violations, competitive intelligence theft, and potential escalation to more severe attacks depending on the data exposure. The vulnerability's impact is particularly concerning given that planning analytics systems typically contain sensitive business data, financial forecasts, and strategic planning information that organizations consider highly confidential.
Mitigation strategies for this vulnerability should focus on implementing robust input validation and sanitization measures within the query processing components. Organizations should immediately apply available patches from IBM to address this specific issue, as the vendor has likely released security updates to resolve the improper parameter handling. Network segmentation and access controls should be strengthened to limit exposure of the affected system, while monitoring solutions should be enhanced to detect unusual query patterns or parameter usage that might indicate exploitation attempts. The implementation of web application firewalls and input validation rules can help prevent malicious body parameters from reaching the core processing logic. Security teams should also conduct thorough code reviews of query handling components to identify similar vulnerabilities and establish secure coding practices that align with industry standards such as OWASP Top Ten and NIST cybersecurity frameworks. Regular vulnerability assessments and penetration testing should be performed to ensure that similar issues do not exist in other components of the planning analytics environment.