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
-
Source reference
Unverified legacy reference
URL: https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-72/388575
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.