CVE-2020-4511 in QRadar SIEM
Summary
by MITRE
IBM QRadar SIEM 7.3 and 7.4 could allow an authenticated user to cause a denial of service of the qflow process by sending a malformed sflow command. IBM X-Force ID: 182366.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 10/30/2020
The vulnerability identified as CVE-2020-4511 affects IBM QRadar SIEM versions 7.3 and 7.4, representing a significant denial of service weakness that could be exploited by authenticated attackers. This issue specifically targets the qflow process within the QRadar environment, which is responsible for processing sflow data streams that are essential for network flow monitoring and security analytics. The vulnerability stems from inadequate input validation mechanisms within the sflow command processing functionality, allowing maliciously crafted sflow commands to trigger unexpected behavior in the affected system.
The technical flaw manifests when an authenticated user sends a malformed sflow command to the QRadar system, causing the qflow process to crash or become unresponsive. This occurs due to insufficient boundary checks and validation routines that should normally sanitize incoming sflow data before processing. The vulnerability falls under CWE-129, which addresses insufficient input validation, and specifically relates to improper handling of malformed data in network protocol processing. The qflow process, being critical for flow data ingestion, when compromised creates a cascading effect that can disrupt the entire SIEM monitoring capabilities of the affected system.
From an operational impact perspective, this vulnerability poses a substantial risk to organizations relying on QRadar for security monitoring and incident response. The denial of service condition affects the qflow process which is fundamental to collecting and analyzing network flow information, thereby impairing the system's ability to detect network-based attacks, monitor traffic patterns, and maintain comprehensive security visibility. Attackers could exploit this weakness to disrupt security operations by causing the SIEM to stop processing flow data, potentially creating blind spots in network monitoring during critical security events. The impact extends beyond simple service disruption as it affects the integrity of security analytics and can hinder compliance reporting requirements that depend on continuous flow data collection.
The exploitation of this vulnerability aligns with ATT&CK technique T1499.004, which covers network disruption through denial of service attacks, and represents a specific implementation of process termination attacks within security monitoring systems. Organizations should implement immediate mitigations including applying the relevant IBM security patches and updates, implementing network segmentation to limit access to the affected QRadar components, and establishing monitoring procedures to detect unusual sflow command patterns. Additionally, access controls should be strengthened to ensure that only authorized personnel can submit sflow commands, and regular security assessments should be conducted to identify similar input validation weaknesses in other system components. The vulnerability highlights the importance of robust input validation in security monitoring systems where malformed data could potentially be used to compromise system availability and security posture.