MediumVulnerability

CVE-2026-115292: Kibana Machine Learning authorization bypass exposes analytics job messages

Source: NVD(opens in a new tab)
Identifier: CVE-2026-115292
Published: November 3, 2026
Record updated: November 3, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.

Summary

An authenticated user with Machine Learning read access in one Kibana space can read audit and error messages of data frame analytics jobs in other spaces they are not authorized to access. The flaw is an authorization bypass through a user-controlled key (CWE-639). Exposed messages can include destination index names, analyzed field names and failure information.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 4.3(medium)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Attack vector: network
Attack complexity: low
Privileges required: low
User interaction: none
EPSS: Not scored. FIRST had not published an EPSS score for this CVE when it was last checked on November 4, 2026.
Disclosure date: November 3, 2026

Weaknesses and techniques

Weakness (CWE): CWE-639

Classification

Attack type: Other
Attack sophistication: Trivial
AI component targeted: Framework
Impact: Confidentiality
Labels: security,
privacy

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-115292

First tracked: November 3, 2026 at 01:09 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 80% (self-assessed)

Summary

Mitigation

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