CVE-2026-115454 in Business Hub
Summary
by MITRE • 10/22/2026
An excessive resource allocation issue in the remote workflow editing capabilities of KNIME Business Hub prior to version 1.19.0 allows a authenticated attack to exhaust resources on the server side. This leads to intermittent unavailability of workflow execution functionality. A workaround is not possible.
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Analysis
by VulDB Data Team • 10/22/2026
The vulnerability identified as an excessive resource allocation issue within KNIME Business Hub versions prior to 1.19.0 represents a significant availability risk for organizations relying on this platform for data science and analytics workflows. This flaw specifically targets the remote workflow editing capabilities, which are critical components of the system that allow users to modify complex analytical processes over network connections. The core technical deficiency lies in how the server handles resource consumption during these editing sessions. When an authenticated user initiates or modifies a workflow through this interface, the backend does not adequately constrain the computational resources such as memory, CPU cycles, or file descriptors allocated for the operation. This lack of proper input validation and resource limiting allows malicious actors to craft specific requests that trigger disproportionate resource usage relative to the actual utility provided by the action.
From an operational perspective, the impact of this vulnerability is severe due to its direct effect on service availability. Because the excessive allocation occurs server-side, a single authenticated attacker can exhaust critical system resources available for workflow execution. This exhaustion leads to intermittent unavailability of the core functionality that allows workflows to run. In enterprise environments where KNIME Business Hub serves as a central hub for automated data processing and reporting, such instability disrupts business continuity. The term intermittent is particularly concerning because it suggests that the service may appear functional at times but fails unpredictably under load or specific attack conditions, making diagnosis difficult without deep system monitoring. This behavior aligns with the principles of Denial of Service attacks where availability is compromised through resource starvation rather than network saturation.
The classification of this vulnerability maps directly to CWE-400, which covers Uncontrolled Resource Consumption. Within the context of the MITRE ATT&CK framework, this flaw facilitates techniques associated with Impact categories, specifically those related to service interruption or denial of service via application layer exhaustion. The requirement for authentication indicates that this is not an open internet-facing vulnerability but rather a threat originating from within the trusted network perimeter or by compromised user credentials. This distinction highlights the importance of robust identity and access management alongside technical controls. Attackers with valid accounts can leverage this flaw to degrade performance for other users, effectively creating a multi-tenant denial of service scenario where one tenant's actions negatively impact others sharing the same infrastructure resources.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. The primary and most effective mitigation is upgrading KNIME Business Hub to version 1.19.0 or later, as this release addresses the underlying code defects responsible for the excessive resource allocation. Since no workaround exists that can reliably prevent exploitation without patching, organizations must prioritize applying vendor-provided updates during their next maintenance window. In addition to software upgrades, administrators should implement strict rate limiting and quota management policies on the server side to cap the resources any single session or user can consume. Monitoring tools should be configured to alert on unusual spikes in memory usage or CPU load associated with workflow editing endpoints, allowing for rapid detection of potential exploitation attempts before total service failure occurs.