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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DeliveryIdentify Observability log analysis validation endpoint
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ExploitCraft request maximizing concurrent task allocation
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ExecutionSubmit request repeatedly in rapid succession
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PersistExhaust Kibana Node.js process heap memory
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ImpactKibana process crashes, denying service 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-privilege (viewer/observer-level) access - PR:L per the confirmed CVSS vector. The Observability log analysis feature must be enabled and accessible to the attacker's role, which is a standard configuration in Kibana deployments using Elastic Observability. The crafted request must reach the validation sub-endpoint of that feature over the network (AV:N). No user interaction from another party is needed, and attack complexity is low (AC:L), meaning no race conditions or precise timing is required. Exploitation is limited by the authentication prerequisite: unauthenticated external actors cannot exploit this flaw. The actual outage severity is further bounded by the resources provisioned for Kibana - well-resourced deployments experience degraded performance rather than a hard crash from a single request, though repeated requests overcome this mitigation. |
| Impact | The CVSS 3.1 score of 6.5 (AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) accurately reflects the threat profile. Attack complexity is low and no user interaction is needed, but the PR:L requirement - confirmed by the CVSS vector - is a meaningful barrier: the attacker must hold a valid Kibana account. No EPSS score was provided in the source data, so probabilistic exploitation likelihood cannot be quantified. The vulnerability is not listed in CISA KEV, and no POC code has been identified, which lowers short-term exploitation probability. However, the practical risk is elevated by two factors: (1) Kibana deployments commonly grant viewer or observer roles to broad populations such as analysts and developers, making PR:L a low bar in practice; and (2) the description explicitly notes the attack request is inexpensive to repeat, enabling sustained denial of service without sophisticated tooling. The impact is limited to availability - confidentiality and integrity are unaffected. In resource-constrained or single-node deployments the outage is immediate; in high-availability clusters, the degradation may be partial until the affected node restarts. Overall this is a genuine operational risk for any organization with broad Kibana access, not a theoretical high-CVSS/low-real-risk scenario. |
| Exploit ScenarioDerived | An attacker with a low-privilege Kibana account - such as a viewer granted access for log monitoring - crafts a request targeting the Observability log analysis validation endpoint designed to maximize internal concurrent task creation. The attacker submits the request repeatedly in a short loop; each submission is computationally cheap for the attacker but triggers unbounded parallel work inside the Kibana Node.js process. Within seconds to minutes, the process exhausts available heap memory and crashes, rendering the Kibana UI unavailable to all other users until an operator restarts the service. No public exploit code has been identified, but the attack requires no specialist knowledge beyond identifying the vulnerable endpoint. |
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Alert meAnalysisAIv1 – Aug 13, 2026
Unbounded resource allocation in Kibana's Observability log analysis validation feature enables any authenticated low-privilege user to exhaust the Kibana process memory and deny service to all users. The flaw (CWE-770, CAPEC-130) requires only minimal credentials - no elevated roles - and a single inexpensive HTTP request triggers concurrent work without throttling. Notably, the request can be repeated trivially, sustaining pressure even on well-provisioned deployments that might otherwise degrade gracefully rather than crash outright. No public exploit code or active exploitation (CISA KEV) has been identified at the time of analysis, though the low exploitation bar makes this a credible insider or credential-abuse threat.
RemediationAI
Upgrade Kibana to version 8.19.20 (for the 8.x branch) or 9.4.5 (for the 9.x branch), as documented in Elastic Security Advisory ESA-2026-98 at https://discuss.elastic.co/t/kibana-8-19-20-and-9-4-5-security-update-esa-2026-98/389516. If immediate patching is not feasible, reduce the blast radius by restricting role assignments: remove or tighten access to the Observability log analysis feature for accounts that do not operationally require it, leveraging Kibana's feature-level privilege controls in Stack Management. As an additional compensating control, placing Kibana behind an authenticating reverse proxy and enforcing per-user request rate limits at the proxy layer (e.g., nginx limit_req or a WAF rule on the affected Observability endpoint) can constrain the volume of exploitable requests, though this introduces latency for legitimate users. Neither workaround eliminates the root cause; patching remains mandatory.
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 (cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:*) is the primary web-based visualization and analytics front-end for the Elastic Stack. The vulnerable component is the validation subsystem within the Observability log analysis feature - likely an input-validation or pattern-analysis endpoint that spawns internal processing tasks. CWE-770 (Allocation of Resources Without Limits or Throttling) identifies the root cause: the server fails to cap the number of concurrent tasks or bound the memory consumed per request. CAPEC-130 (Excessive Allocation) describes the attack class: a crafted payload maximizes internal work per request, allowing an attacker to drive the process into out-of-memory conditions. Because Kibana is a Node.js process, memory exhaustion terminates the single process and takes the UI offline for all tenants until an operator manually restarts it.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Network-accessible web service requiring low-privilege authentication; resource exhaustion yields only availability impact with no confidentiality or integrity consequence.
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). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat.
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-2026-58268
GHSA-2qxp-q7cq-6v7x
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB