Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-privilege Kibana credentials
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DeliveryConnect to Kibana over network
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ExploitSubmit specially crafted resource-exhausting request
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ExecutionTrigger unbounded server-side allocation
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PersistExhaust Kibana process memory or CPU
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ImpactKibana 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 Kibana account with at minimum low-level permissions - confirmed by CVSS PR:L. No special non-default configuration is described as necessary; any functional Kibana deployment reachable over the network is potentially vulnerable once an attacker holds credentials. What limits exploitation: the attacker must possess or obtain a legitimate Kibana credential (PR:L prevents unauthenticated mass exploitation); deployments behind VPN or strict network segmentation further reduce exposure. The impact is confined to availability only (C:N/I:N) - no data disclosure or modification is possible through this vector. |
| Impact | The CVSS 6.5 Medium score accurately reflects the constrained impact profile: high availability disruption (A:H) offset by the PR:L authentication requirement. Real-world risk is moderate-to-meaningful for organizations with broad Kibana user populations - any authenticated employee or service account could abuse this, making it effectively an insider or compromised-credential threat. EPSS data was not provided; given the lack of KEV listing and no confirmed POC, opportunistic mass exploitation is unlikely. However, in SOC or engineering environments where Kibana access is widely provisioned, a disgruntled insider or attacker with stolen low-privilege credentials could disrupt visibility into the entire Elastic monitoring stack, making it operationally significant despite the mid-range CVSS. No conflicting signals between CVSS and description - PR:L is consistent with 'authenticated user with low-level permissions'. |
| Exploit ScenarioDerived | An attacker holding a low-privilege Kibana viewer account - obtained via credential theft, phishing, or insider access - submits one or more specially crafted requests to a Kibana API endpoint that triggers unbounded internal resource allocation. The Kibana process consumes excessive memory or CPU without throttling, causing it to become unresponsive or crash, denying availability to all users including administrators. No public POC exists at time of analysis, but the low attack complexity (AC:L) suggests the crafted request does not require specialized knowledge beyond the endpoint structure. |
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Alert meAnalysisAIv1 – Sep 01, 2026
Denial of service in Elastic Kibana allows any authenticated low-privilege user to render the analytics interface unavailable by submitting specially crafted requests that trigger unbounded resource consumption (CWE-770, CAPEC-130). All Kibana versions prior to 8.19.17 and 9.3.0 are affected. No public exploit or CISA KEV listing exists at time of analysis; the risk is real but limited to authenticated accounts.
RemediationAI
Upgrade Kibana to version 8.19.17 (for 8.x deployments) or 9.3.0 (for 9.x deployments) as directed by Elastic security advisory ESA-2026-31 at https://discuss.elastic.co/t/kibana-8-19-17-9-3-0-security-update-esa-2026-31/390050. If immediate patching is not feasible, restrict Kibana access to the smallest possible set of trusted authenticated users and revoke any broadly provisioned low-privilege accounts. Configuring a reverse proxy (nginx, HAProxy) with per-user request rate limits on Kibana endpoints provides a partial compensating control, though it may not prevent a single crafted request from causing allocation exhaustion. Monitor Kibana process memory and CPU usage for anomalous spikes as a detection signal.
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 management frontend for the Elasticsearch stack, widely deployed in enterprise SOC, observability, and analytics pipelines. The root cause is CWE-770 (Allocation of Resources Without Limits or Throttling): the server fails to cap how much memory, CPU, or other resources a single request or request sequence may consume. CAPEC-130 (Excessive Allocation) describes the attacker technique - submitting inputs engineered to maximize internal allocation without hitting normal throttling guards. The CPE string cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:* (all versions wildcard) confirms the flaw is not isolated to a specific feature branch. The CVSS vector AV:N/AC:L/PR:L/UI:N reflects that the attack is network-reachable, low-complexity, and requires only a low-privilege Kibana credential.
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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 DoS requiring authenticated low-privilege access only; no scope change, no confidentiality or integrity impact, full availability disruption.
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 with low-level permissions could submit a specially crafted request 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-2026-69557
GHSA-wr99-r6hj-fv7j
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB