CVE-2022-22339 in Planning Analytics
Summary
by MITRE • 04/08/2022
IBM Planning Analytics 2.0 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. IBM X-Force ID: 219736.
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Analysis
by VulDB Data Team • 04/13/2022
IBM Planning Analytics version 2.0 contains a critical server-side request forgery vulnerability that exposes the system to authenticated attackers who can leverage this flaw to initiate unauthorized requests from the affected server. This vulnerability falls under the Common Weakness Enumeration category CWE-918, which specifically addresses server-side request forgery conditions where applications fail to properly validate or sanitize user-supplied input that is used to construct HTTP requests. The flaw exists within the application's handling of external resource requests, allowing an authenticated user to manipulate parameters that control where the system sends HTTP requests, potentially enabling access to internal network resources that should remain protected from external exposure. The vulnerability specifically impacts the server-side processing logic that manages external data integration and API communication features within the planning analytics platform.
The operational impact of this vulnerability extends beyond simple unauthorized access as it provides attackers with the capability to perform network enumeration activities by probing internal services and systems that the planning analytics server can reach. This reconnaissance capability enables attackers to map internal network topology, identify running services, and potentially discover additional vulnerable systems within the network perimeter. The attack surface is particularly concerning because IBM Planning Analytics typically operates within enterprise environments where it may have access to sensitive internal databases, administrative interfaces, and other critical systems that could be leveraged for further compromise. The vulnerability creates a pathway for attackers to escalate privileges and conduct more sophisticated attacks such as lateral movement or data exfiltration, making it a significant concern for organizations relying on this analytics platform.
Organizations should implement immediate mitigations including restricting network access to the planning analytics server, implementing strict input validation and sanitization for all external resource requests, and establishing proper network segmentation to limit the potential impact of successful exploitation. The mitigation strategy should include monitoring for unusual outbound network requests from the affected system and implementing web application firewalls to filter malicious requests. Additionally, organizations should consider disabling unnecessary external resource access features and regularly updating the system to ensure the latest security patches are applied. From an attack framework perspective, this vulnerability aligns with techniques described in the attack pattern taxonomy under the broader category of web application attacks, specifically targeting the server-side request forgery pattern that enables attackers to bypass security controls and access internal resources. The vulnerability demonstrates the importance of proper input validation and the principle of least privilege in web application security, as the system should not be permitted to make arbitrary external requests without proper authorization and validation mechanisms in place.