FKIE_CVE-2026-49094
Vulnerability from fkie_nvd - Published: 2026-05-28 21:16 - Updated: 2026-07-21 10:10
Severity
Summary
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered.
References
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Kibana",
"vendor": "Elastic",
"versions": [
{
"lessThanOrEqual": "8.19.15",
"status": "affected",
"version": "8.0.0",
"versionType": "semver"
}
]
}
],
"source": "security@elastic.co"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:*",
"matchCriteriaId": "43EDC5B3-131D-489E-8447-05C5C599E6A7",
"versionEndExcluding": "8.19.16",
"versionStartIncluding": "8.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered."
},
{
"lang": "es",
"value": "Consumo de Recursos No Controlado (CWE-400) en Kibana puede llevar a denegaci\u00f3n de servicio a trav\u00e9s de Asignaci\u00f3n Excesiva (CAPEC-130). Un usuario autenticado con acceso de nivel de visor puede enviar una solicitud que contiene un valor de entrada sobredimensionado a un endpoint de gesti\u00f3n de colecciones de an\u00e1lisis. Kibana consumir\u00e1 recursos excesivos de CPU y memoria mientras procesa la solicitud. Esto resulta en que Kibana quede no disponible para todos los usuarios hasta que el servicio sea recuperado manualmente."
}
],
"id": "CVE-2026-49094",
"lastModified": "2026-07-21T10:10:00.103",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security@elastic.co",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-49094",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-29T16:21:11.371589Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-28T21:16:34.503",
"references": [
{
"source": "security@elastic.co",
"tags": [
"Vendor Advisory"
],
"url": "https://discuss.elastic.co/t/kibana-8-19-16-security-update-esa-2026-39/386561/1"
}
],
"sourceIdentifier": "security@elastic.co",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
}
],
"source": "security@elastic.co",
"type": "Secondary"
}
]
}
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.