CVE-2026-72651 in Kibana
Summary
by MITRE • 08/13/2026
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with read-only privileges to the alerting feature could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. A single request is sufficient to leave Kibana unable to serve requests for all users until the process is restarted.
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Analysis
by VulDB Data Team • 08/13/2026
The vulnerability described represents a critical resource allocation flaw in Kibana that manifests as an insufficient bounds checking mechanism for memory and processing resources. This weakness falls under CWE-770, which specifically addresses scenarios where applications fail to implement proper limits or throttling mechanisms when allocating system resources. The vulnerability is particularly dangerous because it can be exploited by authenticated users who possess only read-only privileges to the alerting feature, demonstrating how privilege escalation through resource exhaustion attacks can bypass traditional access control mechanisms.
The technical exploitation occurs through a carefully crafted malformed payload that targets Kibana's alerting functionality. When processed, this payload causes the application to allocate excessive memory or CPU resources without proper bounds checking, leading to a denial of service condition that affects all users of the system. The attack requires only a single malicious request to cause permanent service disruption until the Kibana process is manually restarted, making it exceptionally dangerous for production environments where uptime and availability are critical.
This vulnerability directly maps to CAPEC-130 which describes excessive allocation attacks where attackers exploit insufficient resource limits to consume system resources beyond normal operational parameters. The impact extends beyond simple service disruption as it can effectively render an entire monitoring platform unusable, potentially masking other security incidents or preventing administrators from responding to genuine threats. The attack vector is particularly concerning because it leverages legitimate application functionality rather than exploiting authentication bypasses or other more complex attack vectors.
From a cybersecurity perspective, this vulnerability demonstrates the importance of implementing defense-in-depth strategies that include resource monitoring and automatic failover mechanisms. Organizations should consider implementing automated resource allocation limits, process monitoring for unusual memory consumption patterns, and regular security assessments to identify similar resource exhaustion vulnerabilities across their technology stack. The flaw also highlights the need for robust input validation and sanitization practices in web applications, particularly those handling user-provided data through administrative interfaces.
The operational impact of this vulnerability extends beyond immediate service disruption to include potential business continuity issues and increased incident response overhead. Security teams must implement monitoring solutions that can detect unusual resource consumption patterns and establish automated alerting mechanisms to proactively identify and respond to similar resource exhaustion attacks. This vulnerability also underscores the importance of regular patch management programs and the need for security teams to understand how application features can be misused to create denial of service conditions.
Organizations should consider implementing network segmentation and access controls that limit user privileges even within legitimate administrative interfaces, following principle of least privilege concepts from NIST cybersecurity frameworks. The vulnerability also demonstrates why comprehensive threat modeling exercises are essential, as they help identify attack paths that might not be immediately obvious during normal application development or security reviews. Additionally, this flaw emphasizes the importance of implementing proper error handling and resource cleanup mechanisms in web applications to prevent exploitation through malformed input data.
The mitigation strategy for this vulnerability involves immediate patching of affected Kibana versions and implementation of resource allocation limits at the system level. Organizations should also consider deploying intrusion detection systems that can identify unusual resource consumption patterns and establish incident response procedures for handling denial of service conditions. Regular security testing including load testing with boundary conditions can help identify similar resource exhaustion vulnerabilities before they can be exploited by malicious actors.