PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-63261 Elastic CVE debrief

CVE-2026-63261 is an Uncontrolled Resource Consumption vulnerability in Kibana, which can lead to denial of service via Excessive Allocation. A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users. The vulnerability has a CVSS score of 6.5 and a severity of MEDIUM. The vulnerability affects Kibana, a popular data visualization and exploration tool. The vulnerability can be exploited by a low-privileged authenticated user, which increases the attack surface. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor.

Vendor
Elastic
Product
Kibana
CVSS
MEDIUM 6.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-21
Original CVE updated
2026-08-03
Advisory published
2026-07-21
Advisory updated
2026-08-03

Who should care

Users of Kibana, especially those with low-privileged authenticated users, should be aware of this vulnerability and take steps to mitigate it. The vulnerability can be exploited by a low-privileged authenticated user, which increases the attack surface. The vulnerability affects Kibana, a popular data visualization and exploration tool. The vulnerability has a CVSS score of 6.5 and a severity of MEDIUM.

Technical summary

CVE-2026-63261 is an Uncontrolled Resource Consumption vulnerability in Kibana, which can lead to denial of service via Excessive Allocation. A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users. The vulnerability has a CVSS score of 6.5 and a severity of MEDIUM. The vulnerability affects Kibana, a popular data visualization and exploration tool. The vulnerability can be exploited by a low-privileged authenticated user, which increases the attack surface.

Defensive priority

Medium priority, as it requires a low-privileged authenticated user to exploit.

Recommended defensive actions

  • Inventory and verify Kibana installations
  • Restrict access to Kibana machine learning features
  • Monitor Kibana server memory usage
  • Apply vendor remediation when available
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-21T23:18:02.817Z and has not been modified since then. The NVD entry is currently Awaiting Analysis. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor. The vulnerability affects Kibana, a popular data visualization and exploration tool. The vulnerability has a CVSS score of 6.5 and a severity of MEDIUM. The vulnerability can be exploited by a low-privileged authenticated user, which increases the attack surface. The vulnerability is related to Uncontrolled Resource Consumption, which can lead to denial of service via Excessive Allocation.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-63261 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-63261

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-63261 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-63261

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.