FKIE_CVE-2026-63138
Vulnerability from fkie_nvd - Published: 2026-09-01 20:17 - Updated: 2026-09-02 14:12
Severity
Summary
Improper Neutralization of Special Elements in Data Query Logic (CWE-943) in Kibana can lead to information disclosure via NoSQL Injection (CAPEC-676). An authenticated user with access to the affected query functionality could submit specially crafted input that alters the intended query logic, returning data the user is not authorized to read.
References
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Kibana",
"vendor": "Elastic",
"versions": [
{
"lessThanOrEqual": "9.4.4",
"status": "affected",
"version": "9.4.0",
"versionType": "semver"
},
{
"status": "affected",
"version": "9.5.0",
"versionType": "semver"
}
]
}
],
"source": "security@elastic.co"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:*",
"matchCriteriaId": "34DC1C58-5247-4302-A84D-993A163F9DC1",
"versionEndExcluding": "9.4.5",
"versionStartIncluding": "9.4.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:elastic:kibana:9.5.0:*:*:*:*:*:*:*",
"matchCriteriaId": "84458CAB-8701-410B-A34C-7F6FC698CE9E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper Neutralization of Special Elements in Data Query Logic (CWE-943) in Kibana can lead to information disclosure via NoSQL Injection (CAPEC-676). An authenticated user with access to the affected query functionality could submit specially crafted input that alters the intended query logic, returning data the user is not authorized to read."
}
],
"id": "CVE-2026-63138",
"lastModified": "2026-09-02T14:12:19.633",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"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-2026-63138",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-01T19:39:22.576529Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-01T20:17:15.247",
"references": [
{
"source": "security@elastic.co",
"tags": [
"Vendor Advisory"
],
"url": "https://discuss.elastic.co/t/kibana-9-4-5-9-5-1-security-update-esa-2026-168/390082"
}
],
"sourceIdentifier": "security@elastic.co",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-943"
}
],
"source": "security@elastic.co",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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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