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Kibana CVE-2026-72629

| EUVDEUVD-2026-58289 HIGH
Authorization Bypass Through User-Controlled Key (CWE-639)
2026-08-13 elastic GHSA-397q-qwg5-f6mc
7.1
CVSS 3.1 · Vendor: elastic
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Severity by source

Vendor (elastic) PRIMARY
7.1 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
vuln.today AI
7.6 HIGH

PR:L confirmed by vendor CVSS; I:L added over official score because deployment resource modification constitutes an integrity impact not captured by I:N.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (elastic).

CVSS VectorVendor: elastic

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
Low

Lifecycle Timeline

2
Analysis Generated
Aug 13, 2026 - 20:00 vuln.today
CVE Published
Aug 13, 2026 - 19:13 cve.org
HIGH 7.1

DescriptionCVE.org

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered.

AnalysisAI

Cross-space authorization bypass in Kibana allows authenticated users to access trained machine learning model inference outputs, and stop or modify active model deployments, in Kibana Spaces they are not authorized to access. The vulnerability arises because API endpoints for ML model inference and deployment management accept user-controlled resource identifiers without enforcing space-level ACL boundaries, enabling privilege escalation across the Space isolation boundary. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Delivery
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Exploit
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Execution
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Persist
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Impact
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Vulnerability AssessmentAI

Exploitation The attacker must hold a valid, authenticated Kibana account (PR:L in the CVSS vector confirms this). … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS base score of 7.1 (High) is driven primarily by C:H (full disclosure of cross-space model inference outputs) and A:L (ability to stop active deployments). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario Full exploit scenario with step-by-step reproduction available after sign-in.
Remediation The primary fix is to upgrade Kibana to version 8.19.20, 9.4.5, or 9.5.1 as documented in Elastic security advisory ESA-2026-126 (https://discuss.elastic.co/t/kibana-8-19-20-9-4-5-9-5-1-security-update-esa-2026-126/389530). … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, identify all Kibana instances in production and verify current versions against the 8.x, 9.4, and 9.5 release lineages. …

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CVE-2026-72629 vulnerability details – vuln.today

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