Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource consumption 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. |
| Impact | Medium real-world risk, supported by converging signals. CVSS 6.5 reflects attack vector network (AV:N), low complexity (AC:L), low privileges required (PR:L), and high availability impact (A:H). The CVSS vector confirms unauthenticated attack is not possible-an authenticated user account is mandatory, which narrows the attacker pool to legitimate Kibana users, internal threat actors, or compromised accounts. No EPSS probability was provided, and neither KEV status nor public exploit code availability was reported, suggesting this is not yet confirmed as actively exploited. However, the vulnerability is straightforward to execute once authenticated: an attacker with user credentials simply needs to craft large requests to the import endpoint and send them concurrently-no complex exploitation technique is required. The real-world severity depends on deployment context: air-gapped or internal Kibana instances with restricted user access face lower risk, while internet-facing instances with many users or federated authentication face higher risk. The impact is availability-only (denial of service), not data breach or integrity loss, reducing urgency relative to critical vulnerabilities. Remediation via patching or architectural mitigations (rate limiting, resource quotas) is practical. |
| Exploit ScenarioDerived | An authenticated Kibana user (either a legitimate account or one obtained through credential compromise) submits 10-20 concurrent HTTP POST requests to the automatic import endpoint, each with input parameters set to extremely large values (e.g., gigabyte-scale file sizes or array counts). The backend lacks input validation and resource throttling, causing each request to allocate excessive memory or CPU threads. Within seconds, these concurrent allocations exhaust available resources on the Kibana/Elasticsearch backend, causing query timeouts, connection pool exhaustion, and eventual service unavailability for all users. Attackers would exploit this to disrupt monitoring and analytics availability, potentially masking other malicious activity or causing operational impact to customers relying on real-time dashboards. No public exploit code has been identified, suggesting the vulnerability requires understanding of Kibana's API structure and the import feature's internals. |
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Alert meAnalysisAIv1 – Apr 08, 2026
Denial of service in Kibana's automatic import feature allows authenticated users to trigger uncontrolled resource consumption by submitting specially crafted requests with excessively large input values. When multiple such requests are sent concurrently, backend services become unstable, resulting in service disruption across all users. CVSS 6.5 (medium severity) reflects the authenticated attack requirement and high availability impact without confidentiality or integrity compromise.
RemediationAI
Upgrade to Kibana 8.19.14 or later for the 8.x branch, or upgrade to Kibana 9.2.8 or later for the 9.x branch (9.3.x users should upgrade to 9.3.3 or later). Consult the Elastic security advisory at https://discuss.elastic.co/t/kibana-8-19-14-9-2-8-9-3-3-security-update-esa-2026-26/385814 for detailed upgrade guidance and version mapping. As an interim workaround pending patching, restrict access to the automatic import feature via role-based access controls (RBAC), limiting the feature to trusted administrators only, or disable the feature entirely if not required. Additionally, implement network-level or reverse-proxy rate limiting and request size caps on the import endpoint to prevent resource exhaustion from large or concurrent requests.
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
The vulnerability exists in Kibana's automatic import feature, which fails to properly validate and limit resource consumption when processing user-supplied input. The root cause is CWE-400 (Uncontrolled Resource Consumption), where the backend does not enforce adequate bounds checking or rate limiting on input size or concurrent request processing. Kibana (cpe:2.3:a:elastic:kibana) is Elastic's analytics and visualization platform built on the Elastic Stack; the automatic import functionality enables bulk data ingest operations. When multiple oversized requests reach the backend simultaneously, they exhaust system resources (CPU, memory, or connection pools), triggering cascading service degradation. This is a classic CAPEC-130 (Excessive Allocation) attack pattern exploiting a lack of resource quotas or queue depth enforcement.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Primary rating from Vendor (elastic) · only source for this CVE.
CVSS VectorVendor: elastic
DescriptionCVE.org
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with access to the automatic import feature can submit specially crafted requests with excessively large input values. When multiple such requests are sent concurrently, the backend services become unstable, resulting in service disruption and deployment unavailability for all users.
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-2026-20521
GHSA-p635-f626-pv4p
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB