CVE-2026-115292: Elastic Kibana · Insecure Direct Object Reference
Affects Elastic KibanaSource CVE Database V5
Not known to be exploited · CVSS 4.3 Medium.
Data as of 3 Nov 2026, 17:58 UTC
Thin evidence
One scorer or none| CNA (elastic) | CVSS 3.1 | 4.3 |
|---|
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 3 Nov 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 3 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| ElasticKibana | Affected
| Fixed in– |
AI-suggested
Until a fix is available, restrict Machine Learning read access to trusted users only and monitor access controls carefully to limit exposure.
Description
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.