CVE-20XX-?

CVE-2026-63145

4.3 MEDIUM 0.3% exploit odds Fix listed Auth & access

What it is

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.

At a glance

Exploitability
Can be exploited over the network with a low-privilege account. Limited direct impact.
Exploit odds
0.3% chance of exploitation in the next 30 days (EPSS).
Fix
A patch, advisory or fixed version is referenced. Upgrade or apply it.

Timeline

  1. PublishedDisclosed publicly on CVE.org and NVD
  2. Last updatedMost recent change to the record

Details

Published
Last modified
Exploit probability
0.3% · EPSS, next 30 days
Weakness
CWE-863 · Incorrect authorization
Record status
Analyzed

Affected

Attack profile CVSS 3.1 · 4.3

Attack vector
Network
Complexity
Low
Privileges needed
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
Low
Availability
None
Raw vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

Meme: I wake up, CVE-2026-63145
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Fix and advisories

References

NVD record · CVE.org record