CVE-2026-72629
highPriorität · verfolgen · 0EPSS 0.004 · 36. PerzentilDEEUUSEPSS · bewertet 2026-10-27
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.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 6.5–7.1
SSVC
Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.
schwächen
Die CWE-Schwächeklassen, zu denen dies gehört.
betroffene Produkte (20)
Betroffene Produkte und Versionsbereiche.
Advisories (3)
Hersteller- und Ökosystem-Meldungen dazu.
- WID-SEC-W-2026-2824Kibana: Mehrere SchwachstellenDeutsch2026-08-12csaf · cert_bundDE
Ein entfernter, authentisierter Angreifer kann mehrere Schwachstellen in Kibana ausnutzen, um vertrauliche Informationen einschließlich Zugangsdaten offenzulegen, Daten und Konfigurationen zu manipulieren, Berechtigungen zu umgehen und einen Denial of Service zu verursachen.
- BIT-elk-2026-72629Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models2026-08-19vendor · osvUS
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.
- BIT-kibana-2026-72629Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models2026-08-19vendor · osvUS
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.
auch bekannt als (5)
Weitere Namen und Kennungen dieser Entität.
- CNNVD-2026-46986830cnnvd
- EUVD-2026-58289enisa_euvd
- GHSA-397q-qwg5-f6mcenisa_euvd
- BIT-elk-2026-72629osv
- BIT-kibana-2026-72629osv
quellen
Welche Quellen diesen Datensatz belegen und wann.
Referenzen (4)
Externe Belege — Patches, Meldungen, Analysen.
- https://discuss.elastic.co/t/kibana-8-19-20-9-4-5-9-5-1-security-update-esa-2026-126/389530cnnvd
- https://www.elastic.co/downloads/kibanaPatchcnnvd
- https://discuss.elastic.co/t/kibana-8-19-20-9-4-5-9-5-1-security-update-esa-2026-126/389530enisa_euvd
- https://discuss.elastic.co/t/kibana-8-19-20-9-4-5-9-5-1-security-update-esa-2026-126/389530Vendor Advisorynvd
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