CVE-2022-43883 in Cognos Analytics
Summary
by MITRE • 12/20/2022
IBM Cognos Analytics 11.1.7, 11.2.0, and 11.2.1 could be vulnerable to a Log Injection attack by constructing URLs from user-controlled data. This could enable attackers to make arbitrary requests to the internal network or to the local file system. IBM X-Force ID: 240266.
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Analysis
by VulDB Data Team • 12/20/2022
IBM Cognos Analytics versions 11.1.7, 11.2.0, and 11.2.1 contain a critical log injection vulnerability that stems from improper handling of user-controlled input within URL construction processes. This flaw resides in the application's logging mechanism where external data is directly incorporated into log entries without adequate sanitization or validation, creating a pathway for malicious actors to manipulate the logging infrastructure. The vulnerability manifests when the system processes user-supplied parameters to construct URLs for internal network communications or file system operations, allowing attackers to inject malicious content that gets recorded in system logs.
The technical exploitation of this vulnerability falls under CWE-117, which addresses improper output neutralization for logs, and aligns with ATT&CK technique T1562.006 for "Impair Command History Logging" and T1071.004 for "Application Layer Protocol: DNS." Attackers can leverage this weakness to construct malicious URLs that, when processed by the logging system, result in unintended network requests or file system access. The injected content can potentially bypass network security controls and enable unauthorized access to internal resources that would normally be restricted from external exposure. This creates a significant risk for organizations as the logging system becomes a vector for lateral movement and privilege escalation within the network infrastructure.
The operational impact of this vulnerability extends beyond simple log manipulation, as it provides attackers with the capability to perform arbitrary file system operations and make unauthorized internal network requests. This could enable data exfiltration, system reconnaissance, or even remote code execution depending on the permissions of the application process. Organizations using affected IBM Cognos Analytics versions face potential exposure to advanced persistent threats that can exploit this weakness to establish persistent access within their network environments. The vulnerability is particularly concerning because it operates at the application layer where logs are typically trusted as legitimate system information, making detection and prevention more challenging for security monitoring systems.
Organizations should implement immediate mitigations including input validation and sanitization of all user-supplied data before log processing, implementing proper URL encoding for user-controlled parameters, and restricting file system access permissions for the application. Network segmentation and monitoring of internal network communications can help detect anomalous behavior indicative of exploitation attempts. IBM has released patches for affected versions that address the root cause by implementing proper input validation and sanitization routines. Security teams should also consider implementing log monitoring solutions that can detect suspicious patterns in log entries and establish network access controls that limit the application's ability to make arbitrary internal requests. The vulnerability demonstrates the importance of secure coding practices and proper input handling in enterprise applications, particularly those that process user data through logging mechanisms.