Skip to main content
EPSS 0.4%top 71%

CVE-2026-82293: CWE-863 Incorrect Authorization in Elastic Kibana

0
Medium
VulnerabilityCVE-2026-82293cvecve-2026-82293cwe-863
Published: 09/02/2026 (09/02/2026, 14:43:29 UTC)
Source: CVE Database V5
Vendor/Project: Elastic
Product: Kibana

Description

Incorrect Authorization (CWE-863) in the Kibana machine learning feature can lead to unauthorized resource consumption via Exploiting Incorrectly Configured Access Control Security Levels (CAPEC-180). An authenticated user could invoke machine learning functionality beyond their authorization scope, consuming cluster resources they should not be able to reach.

CVSS v3.1

Score 4.3medium

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Affected software

Elastic

Kibana

Affected versions
>=8.0.0 <=8.19.20>=9.0.0 <=9.4.5>=9.5.0 <=9.5.1

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/07/2026, 13:45:01 UTC

Technical Analysis

This vulnerability (CVE-2026-82293) in Elastic Kibana's machine learning feature is due to incorrect authorization (CWE-863). An authenticated user with limited privileges can exploit incorrectly configured access control security levels (CAPEC-180) to consume cluster resources beyond their authorization. This can lead to denial of service conditions by exhausting resources. The CVSS 3.1 vector indicates network attack vector, low attack complexity, requiring low privileges, no user interaction, unchanged scope, no confidentiality or integrity impact, and availability impact only. No vendor advisory or patch is currently available, and no known exploits are reported in the wild.

Potential Impact

The impact is limited to availability degradation due to unauthorized resource consumption in the Kibana cluster's machine learning feature. There is no confidentiality or integrity impact. An attacker with valid credentials but limited privileges can cause resource exhaustion, potentially leading to denial of service for legitimate users.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the machine learning features to trusted users only and monitor resource usage closely to detect abnormal consumption patterns.

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Data Version
5.2
Assigner Short Name
elastic
Date Reserved
2026-08-28T11:30:29.847Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6a98384bacd9273b495d1701

Added to database: 09/02/2026, 14:52:59 UTC

Last enriched: 09/07/2026, 13:45:01 UTC

Last updated: 10/17/2026, 18:48:23 UTC

Views: 87

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses