CVE-2026-56145 Elastic CVE debrief

Who should care

Users of Elasticsearch, especially those with low-privileged authenticated users, should be aware of this vulnerability and take steps to mitigate it. This includes reviewing and restricting EQL sequence query permissions, monitoring Elasticsearch node memory consumption, and implementing compensating controls to detect and prevent excessive memory consumption.

Technical summary

Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user with permission to execute EQL sequence queries against an index they control can send a specially crafted query that triggers excessive memory consumption, causing the Elasticsearch node to crash. The vulnerability has a CVSS score of 6.5 and is classified as MEDIUM severity.

Defensive priority

Medium priority due to the potential for denial of service.

Recommended defensive actions

• Review and restrict EQL sequence query permissions for low-privileged authenticated users.
• Monitor Elasticsearch node memory consumption and adjust configurations as needed.
• Implement compensating controls to detect and prevent excessive memory consumption.
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
• Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.
• Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
• Check relevant monitoring, detection, and logs for exposed assets that need extra review.

Evidence notes

The CVE record was published on 2026-07-21T20:17:02.500Z and was last modified on 2026-07-22T20:37:38.603Z. The NVD entry is currently Awaiting Analysis. This vulnerability affects Elasticsearch and can be exploited by a low-privileged authenticated user. The source details are limited, and further verification is needed to understand the full scope of the vulnerability.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.