CVE-2026-115292

EUVD-2026-116073

03.11.2026, 17:17

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information.

Provider	Type	Base Score	Atk. Vector	Atk. Complexity	Priv. Required	Vector
elastic	CNA	4.3 MEDIUM	NETWORK	LOW	LOW	CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Base Score

CVSS 3.x

EPSS Score

Percentile: Unknown

Early Detection

Affected products identified ahead of NVD analysis through intelligence sources (CNA/ADP records, vendor advisories, Enginsight analysis).

Vendor	Product	Version	Source
elastic	kibana	8.0.0 ≤ 𝑥 ≤ 8.19.23	CNA
elastic	kibana	9.0.0 ≤ 𝑥 ≤ 9.4.8	CNA
elastic	kibana	9.5.0 ≤ 𝑥 ≤ 9.5.5	CNA

Common Weakness Enumeration

CWE-639 - Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.

References

https://discuss.elastic.co/t/kibana-8-19-24-9-4-9-9-5-6-security-update-esa-2026-203/391357