CVE-2026-78598
Received Received - Intake

Incorrect Authorization in Kibana Machine Learning Feature

Publication date: 2026-09-02

Last updated on: 2026-09-02

Assigner: Elastic

Description
Incorrect Authorization (CWE-863) in the Kibana machine learning feature can lead to information disclosure via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user holding machine learning job management privileges within a single Kibana space could cause a job's saved object to become accessible across all spaces in the Kibana instance, without holding access rights to those additional spaces.

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Meta Information

Published
2026-09-02
Last Modified
2026-09-02
Generated
2026-09-02
AI Q&A
2026-09-02
EPSS Evaluated
N/A
NVD
CVE-2026-78598
EUVD
EUVD-2026-70059

Affected Vendors & Products

Showing 4 associated CPEs
Vendor Product Version / Range
elastic kibana *
elastic kibana to 8.19.19 (exc)
elastic kibana to 9.3.8 (exc)
elastic kibana to 9.4.4 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-863 The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check.

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Executive Summary

CVE-2026-78598 is an Incorrect Authorization vulnerability in Kibana's machine learning feature. It allows an authenticated user with machine learning job management privileges in one Kibana space to access saved objects of machine learning jobs across all spaces, even without proper permissions for those additional spaces.

Detection Guidance

To detect this vulnerability, check if your Kibana instance is running an affected version (8.19.18 or earlier in 8.x, 9.3.7 or earlier in 9.x, or 9.4.3 or earlier in 9.4.x). Verify if machine learning job management privileges are assigned to non-administrator users in any space. Inspect saved objects for unauthorized cross-space access.

Impact Analysis

This vulnerability can lead to unauthorized information disclosure. An attacker with limited privileges could access sensitive machine learning job data in spaces they are not authorized to view, potentially exposing confidential information.

Compliance Impact

This vulnerability could lead to non-compliance with data protection regulations like GDPR or HIPAA by enabling unauthorized access to sensitive data. Organizations using Kibana spaces with non-administrator users may face compliance violations if such access occurs.

Mitigation Strategies

Upgrade Kibana to a patched version: 8.19.19, 9.3.8, or 9.4.4. If upgrading is not possible, restrict machine learning job management privileges to trusted administrators only. Review and audit user permissions across all spaces to ensure no unauthorized access is possible.

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