Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain or compromise Kibana account with maintenance window privileges
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DeliveryCraft malformed maintenance window payload
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ExploitSubmit payload to Kibana maintenance windows API
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ExecutionTrigger unbounded resource allocation in Kibana process
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PersistKibana becomes fully unresponsive
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ImpactAll users denied access until manual restart
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 an active, authenticated Kibana session belonging to a user who has been explicitly granted the 'manage maintenance windows' privilege - this is not a default low-privilege capability and must be assigned by an administrator. The attacker must submit a specially crafted, malformed payload to the maintenance windows management interface; normal well-formed requests do not trigger the flaw. Exploitation is limited to the Kibana application tier; the underlying Elasticsearch cluster is not directly affected. The scope is unchanged (S:U), meaning the impact does not propagate beyond the Kibana process itself. Factors limiting exploitation: authentication is mandatory (PR:L, confirmed by CVSS vector); the required maintenance window management role restricts the population of potential attackers; and the attack produces availability impact only, with no confidentiality or integrity consequences. |
| Impact | The CVSS 3.1 vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H yields a base score of 6.5 (Medium), which accurately reflects the risk profile. The network attack vector and low attack complexity mean exploitation is straightforward once the attacker has the required role. The privileged requirement (PR:L) is the primary limiting factor - the attacker must be authenticated and explicitly authorized to manage maintenance windows, which is not a default low-privilege capability. There is no confidentiality or integrity impact, and scope is unchanged. The availability impact is rated High (A:H), which is consistent with the description's claim that Kibana becomes permanently unresponsive without manual restart. This is a targeted denial-of-service risk rather than a broad opportunistic threat: unauthenticated attackers cannot exploit it, and the maintenance window management role is typically limited to administrators or power users. No EPSS score was provided in source data, and the vulnerability is not present in the CISA KEV catalog, so there is no confirmed evidence of active exploitation. No POC has been identified. The practical risk is highest in multi-tenant Kibana deployments where a malicious or compromised internal user with this specific role could disrupt all tenants' access. |
| Exploit ScenarioDerived | An attacker who holds a Kibana account with maintenance window management privileges - or who has compromised such an account - crafts a malformed JSON payload and submits it to the Kibana maintenance windows API endpoint. The Kibana server-side process begins allocating resources without bound in response to the malformed input, consuming all available memory or CPU until the Node.js process becomes fully unresponsive. All other Kibana users lose access to the UI and any dependent alerting or dashboard functionality until an operator manually restarts the Kibana process. |
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Alert meAnalysisAIv1 – Aug 13, 2026
Resource exhaustion in Elastic Kibana allows an authenticated user who holds maintenance window management privileges to crash the Kibana process for all users by submitting a specially crafted malformed payload. The Kibana process consumes unbounded resources and becomes fully unresponsive, requiring manual operator intervention to restore service - there is no automatic recovery. No public exploit code has been identified and this vulnerability is not listed in the CISA KEV catalog; however, the low access complexity and broad multi-tenant availability impact make it a meaningful operational risk for shared Kibana deployments.
RemediationAI
Upgrade Kibana to a patched release: 8.19.19, 9.3.8, or 9.4.4, as detailed in Elastic security advisory ESA-2026-108 at https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-108/389514. Patch versions are confirmed by Elastic as the primary fix. As a compensating control where immediate patching is not possible, restrict the maintenance window management role to the minimum set of fully trusted users - removing this privilege from all non-essential accounts eliminates the attack surface, with the trade-off that legitimate maintenance scheduling capability is reduced. Additionally, monitor Kibana process resource utilization (CPU and memory) and configure automated alerting to detect anomalous spikes, enabling faster operator response if an exploitation attempt occurs. Process-level resource limits (e.g., via systemd MemoryMax/CPUQuota or container resource constraints) can reduce the severity of a successful attack by capping how much the process can consume before being killed and restarted automatically, though this does not prevent exploitation.
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 the browser-based visualization and management UI for the Elastic Stack (ELK), widely deployed in enterprise environments for log analytics and SIEM use cases. The vulnerability resides in Kibana's maintenance windows management subsystem, which allows authorized users to define scheduled maintenance periods. CWE-770 (Allocation of Resources Without Limits or Throttling) describes the root cause: the input parsing or processing path for maintenance window payloads does not enforce limits on resource consumption, allowing a specially crafted malformed request to trigger CAPEC-130 (Excessive Allocation) - where the process allocates progressively more memory, CPU, or both without bound. The CPE string cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:* indicates the flaw affects the Kibana application broadly across versions, with fix versions 8.19.19, 9.3.8, and 9.4.4 identified in the Elastic security advisory ESA-2026-108.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Kibana is network-accessible; any authenticated maintenance window manager can trigger it with no complexity; only availability is impacted via process exhaustion.
Primary rating from Vendor (elastic).
CVSS VectorVendor: elastic
DescriptionCVE.org
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention.
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-2026-58277
GHSA-5642-j255-rj32
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB