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VulnerabilityPublished

CVE-2026-115292: Elastic Kibana · Insecure Direct Object Reference

Affects Elastic KibanaSource CVE Database V5

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Not known to be exploited · CVSS 4.3 Medium.

Data as of 3 Nov 2026, 17:58 UTC

CVSS 3.1 base score
4.3Medium
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (elastic)CVSS 3.14.3
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Nov 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

ProductAffectedFixed in
ElasticKibanaAffected
  • >=8.0.0 <=8.19.23
  • >=9.0.0 <=9.4.8
  • >=9.5.0 <=9.5.5
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.

References

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