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CVE-2026-63145: CWE-863 Incorrect Authorization in Elastic Kibana

0
Medium
VulnerabilityCVE-2026-63145cvecve-2026-63145cwe-863
Published: 07/21/2026 (07/21/2026, 22:31:16 UTC)
Source: CVE Database V5
Vendor/Project: Elastic
Product: Kibana

Description

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

CVSS v3.1

Score 4.3medium

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
Low
Availability
None
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

Affected software

GitHub Actionsmore threats →ai
elastic/kibana
pkg:github/elastic/kibana
Affected versions
=8.0.0=9.0.0=9.4.0

Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/21/2026, 23:08:03 UTC

Technical Analysis

This vulnerability in Kibana arises from an incorrect authorization check (CWE-863) in a Machine Learning management endpoint. The endpoint validates only a broad privilege level but fails to verify that the user has permission to access the specific Machine Learning job or notification resource referenced in the request. Consequently, a low-privileged user with Machine Learning access in any Kibana space can exploit Kibana's internally elevated credentials to write to restricted Machine Learning system indices. This allows manipulation of audit and notification records for arbitrary jobs, including those in other spaces or owned by other users. No official patch or remediation level is indicated in the available data.

Potential Impact

The vulnerability allows low-privileged users with Machine Learning access to modify audit and notification records of arbitrary Machine Learning jobs across different spaces and users. This compromises the integrity of these records but does not impact confidentiality or availability. There are no known exploits in the wild. The impact is limited to integrity loss of Machine Learning audit and notification data.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict Machine Learning access to trusted users only. Monitor for unusual modifications to Machine Learning audit and notification records. Follow Elastic's official advisories for updates on remediation.

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Technical Details

Data Version
5.2
Assigner Short Name
elastic
Date Reserved
2026-07-15T18:23:57.166Z
Cvss Version
3.1
State
PUBLISHED
Remediation Level
null

Threat ID: 6a5ff8649c2644c7f8e52c89

Added to database: 07/21/2026, 22:53:24 UTC

Last enriched: 07/21/2026, 23:08:03 UTC

Last updated: 07/22/2026, 00:10:22 UTC

Views: 3

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