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Kibana Agent Builder CVE-2026-72643

| EUVDEUVD-2026-58288 HIGH
Incorrect Authorization (CWE-863)
2026-08-13 elastic GHSA-m5pm-2p35-xvpr
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:L/A:N
vuln.today AI
7.1 HIGH

Network-reachable via Kibana API, low complexity once realm overlap exists, low-privilege authenticated session required, high confidentiality impact on agent config, low integrity impact from modification or deletion.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
4.0 AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:L/VA:N/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
Low
Availability
None

Lifecycle Timeline

2
Analysis Generated
Aug 13, 2026 - 19:56 vuln.today
CVE Published
Aug 13, 2026 - 19:13 cve.org
HIGH 7.1

DescriptionCVE.org

Kibana Agent Builder determines whether a caller owns a private agent by comparing a stable user identifier when one is recorded, and falling back to a comparison of the username when it is not. A username is not unique across Elasticsearch authentication realms, so two distinct principals that share a username in different realms are treated as the same owner. This discloses the configuration and instructions of an agent the caller does not own, and allows that agent to be altered or removed.

AnalysisAI

Incorrect authorization in Kibana Agent Builder allows authenticated users to access, modify, or delete private agents they do not own when sharing a username with another principal across different Elasticsearch authentication realms. The flaw stems from a fallback ownership check that compares usernames - which are not unique across realms - rather than stable user identifiers, enabling cross-realm identity confusion. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Execution
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Vulnerability AssessmentAI

Exploitation Exploitation requires: (1) the target Kibana deployment must be configured with two or more Elasticsearch authentication realms (e.g., a native realm and an LDAP/Active Directory realm operating simultaneously); (2) the attacker and victim must share an identical username string in their respective realms; (3) the attacker must hold a valid low-privilege authenticated session in Kibana (PR:L per CVSS vector). … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N) scores 7.1, indicating a high-severity, network-reachable flaw requiring only low-privilege authentication with no user interaction or special complexity from the attacker's perspective. … 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 Upgrade Kibana to version 9.4.5 or 9.5.1 per Elastic security advisory ESA-2026-124 (https://discuss.elastic.co/t/kibana-9-4-5-9-5-1-security-update-esa-2026-124/389538). … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours, identify all Kibana deployments using Agent Builder and document which authentication realms are enabled; verify username uniqueness across all configured realms. …

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CVE-2026-72643 vulnerability details – vuln.today

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