Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain valid Kibana credentials
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DeliveryIdentify Entity Analytics API endpoint
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ExploitCraft request with oversized input payload
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ExecutionSubmit request to unthrottled endpoint
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PersistTrigger excessive resource allocation
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ImpactKibana service becomes unavailable to all users
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource allocation limits
MITRE ATT&CK
1 technique across 1 tactic: Impact The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires a valid, authenticated Kibana session with at least low-privilege access (confirmed by PR:L in the CVSS vector). The target instance must have the Entity Analytics feature enabled - this is the specific feature area containing the unthrottled endpoints, and deployments that do not use Entity Analytics are not exposed. Beyond valid credentials and feature enablement, no special network positioning, race conditions, or additional configuration is needed (AV:N/AC:L). Exploitation is bounded by the authentication requirement, which prevents anonymous external attackers from triggering the condition directly; however, environments with self-registration, shared credentials, or a large internal user base face elevated insider threat exposure. |
| Impact | The CVSS 6.5 Medium score with vector AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H accurately reflects a bounded risk profile. The network attack vector with low complexity means no special positioning is needed, but the PR:L requirement restricts exploitation to authenticated Kibana users - internal analysts, service accounts, or compromised credentials rather than anonymous external actors. Impact is purely availability (A:H) with zero confidentiality or integrity consequences, limiting blast radius to service disruption. No CISA KEV listing and no identified POC reduce urgency materially compared to unauthenticated DoS vectors. EPSS data is absent from available intelligence, preventing probability-based triage. The key real-world risk factors are insider threat scenarios, environments where Kibana registration is open or loosely controlled, and deployments where the Entity Analytics feature is both enabled and internet-accessible behind single-factor authentication. |
| Exploit ScenarioDerived | An authenticated Kibana user - such as an internal analyst, a compromised read-only service account, or any account provisioned with minimal privileges - sends a single crafted HTTP request to an Entity Analytics API endpoint with an abnormally large input value. The server processes the oversized payload without bounds enforcement, consuming excessive memory or CPU until Kibana becomes unresponsive and denies service to all other users. No public proof-of-concept code has been identified at time of analysis, but the low attack complexity means the technique is straightforwardly reproducible from the description alone. |
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Alert meAnalysisAIv1 – Jul 21, 2026
Denial of service in Kibana's Entity Analytics feature allows authenticated users to render the application unavailable by submitting oversized input values to affected API endpoints. The root cause is CWE-770 - absent resource allocation limits on specific Entity Analytics endpoints - enabling a single crafted request to trigger excessive memory or CPU consumption disproportionate to normal operation. No public exploit code has been identified at time of analysis, and the PR:L authentication requirement constrains opportunistic exploitation to credentialed actors.
RemediationAI
Upgrade Kibana to version 9.3.7 or 9.4.4 as appropriate for the deployed branch, per Elastic security advisory ESA-2026-55 at https://discuss.elastic.co/t/kibana-9-3-7-9-4-4-security-update-esa-2026-55/388554/1. If immediate patching is not feasible, disable the Entity Analytics feature entirely if it is not operationally required - this eliminates the vulnerable endpoints at the cost of losing entity risk scoring and behavioral analytics capabilities. Alternatively, restrict access to Entity Analytics API endpoints via a reverse proxy or network policy to limit requests to a narrowly trusted set of service accounts, reducing the pool of potential authenticated abusers. Enforcing request body size limits at the load balancer or API gateway layer is an additional compensating control that can cap payload sizes independent of application-level fixes.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
Kibana is Elastic's web-based visualization and analytics interface for the Elastic Stack, widely deployed in enterprise SIEM and observability pipelines. The Entity Analytics feature performs entity risk scoring and behavioral analytics over host and user data, exposing dedicated REST API endpoints. CWE-770 (Allocation of Resources Without Limits or Throttling) indicates these endpoints lack server-side constraints on input payload size, allowing a single malformed request to exhaust server resources through excessive allocation, consistent with CAPEC-130 (Excessive Allocation). The CPE string cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:* uses a wildcard version range, confirming all Kibana versions prior to the patched releases are in scope.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Network-reachable API with low complexity; authenticated access required (PR:L); impact is availability-only with no confidentiality or integrity loss.
Primary rating from Vendor (elastic).
CVSS VectorVendor: elastic
DescriptionCVE.org
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted request to affected Entity Analytics endpoints containing an oversized input value that causes excessive resource consumption, which may render Kibana unavailable.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
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EUVD-2026-46387
GHSA-jpjg-2w23-5jgr
NVD
CVE.org
EPSS
VulDB
Exploit-DB