CVE-2026-72671

Missing Authorization in Kibana Leading to Unauthorized Modification of Machine Learning Trained Model Space Assignments

MEDIUM
4.3
CVSS Score
Published: August 13, 2026 at 07:11 PM UTC
Updated: September 4, 2026 at 08:36 PM UTC
1 product affected across 1 vendorKibana

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Severity
MEDIUM4.3
Exploit prediction
EPSS 0.3%
SSVC
No known exploit

Description

A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jobs and data frame analytics jobs without the trained model privilege can therefore remove a trained model from a space. The model itself is not deleted and remains available in its other spaces, and the change can be reversed by a suitably privileged user.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

v < 8.19.208.0.0 ≤ v ≤ 8.19.199.0.0 ≤ v ≤ 9.4.49.0.0 ≤ v < 9.4.58.0.09.0.0
Affected range stops below 8.19.20, so it looks safe — our inference, not a vendor statement
Affected range stops below 9.4.5, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

SSVC — Action Prioritization

SSVCNo known exploitNot automatablePartial impact

SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.

CVSS

4.3MEDIUMelastic
Attack Vector
NETWORK
Complexity
LOW
Privileges
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
LOW
Availability
NONE
Vector?

Quick Info

StatusANALYZED
CWE
CWE-862

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