Compliance Impact

The provided information does not specify any direct impact of this vulnerability on compliance with common standards and regulations such as GDPR or HIPAA.

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Impact Analysis

The vulnerability can cause a denial of service in Kibana, making the service unresponsive to all users. This happens because the system resources are exhausted by the oversized payload submitted by an authenticated low-privileged user. The impact is that Kibana will stop functioning properly until it is either restarted or recovers on its own, potentially disrupting operations that depend on Kibana.

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Executive Summary

CVE-2026-33464 is a vulnerability in Kibana that allows an authenticated user with a low-privileged role to cause a denial of service. This is done by submitting a specially crafted, oversized payload to an internal Kibana API, which leads to uncontrolled resource consumption. As a result, the Kibana process exhausts available system resources and becomes unresponsive to all users until it recovers or is restarted.

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Mitigation Strategies

To mitigate this vulnerability, you should upgrade Kibana to a patched version. The vulnerability is fixed in Kibana versions 8.19.16, 9.3.5, and 9.4.1.

• Upgrade Kibana to version 8.19.16 or later if you are using the 8.x series.
• Upgrade Kibana to version 9.3.5 or later if you are using the 9.x series.
• Restrict authenticated access to trusted users only, especially those with at least the Viewer role, to reduce risk until the upgrade is applied.

Note that Elastic Cloud Serverless deployments are not affected due to their continuous deployment and patching model.

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Detection Guidance

This vulnerability can be detected by monitoring for signs of excessive resource consumption or unresponsiveness in the Kibana service, especially after authenticated users with low-privileged roles interact with internal Kibana APIs.

Since the vulnerability involves submission of specially crafted oversized payloads, detection can involve monitoring Kibana logs for unusually large API requests or spikes in resource usage (CPU, memory) related to Kibana processes.

Specific commands to help detect this condition include:

• Use system monitoring tools like 'top' or 'htop' to observe Kibana process resource usage.
• Use 'ps aux | grep kibana' to check Kibana process status and resource consumption.
• Check Kibana logs for large or malformed API requests, for example: 'grep -i "payload" /var/log/kibana/kibana.log' or similar log paths.
• Use network monitoring tools like 'tcpdump' or 'wireshark' to capture and analyze oversized payloads sent to Kibana's internal APIs.
• If available, enable Kibana audit logging to track authenticated user actions and detect suspicious oversized requests.

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