FKIE_CVE-2025-62188
Vulnerability from fkie_nvd - Published: 2026-04-09 10:16 - Updated: 2026-09-30 22:10
Severity
Summary
An Exposure of Sensitive Information to an Unauthorized Actor vulnerability exists in Apache DolphinScheduler.
This vulnerability may allow unauthorized actors to access sensitive information, including database credentials.
This issue affects Apache DolphinScheduler versions 3.1.*.
Users are recommended to upgrade to:
* version ≥ 3.2.0 if using 3.1.x
As a temporary workaround, users who cannot upgrade immediately may restrict the exposed management endpoints by setting the following environment variable:
```
MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,metrics,prometheus
```
Alternatively, add the following configuration to the application.yaml file:
```
management:
endpoints:
web:
exposure:
include: health,metrics,prometheus
```
This issue has been reported as CVE-2023-48796:
https://cveprocess.apache.org/cve5/CVE-2023-48796
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apache | dolphinscheduler | * |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Apache DolphinScheduler",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "3.2.0",
"status": "affected",
"version": "3.1.0",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:dolphinscheduler:*:*:*:*:*:*:*:*",
"matchCriteriaId": "807E36C9-E326-491F-9E04-B2589F2C72D3",
"versionEndExcluding": "3.2.0",
"versionStartIncluding": "3.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An Exposure of Sensitive Information to an Unauthorized Actor vulnerability exists in Apache DolphinScheduler.\n\nThis vulnerability may allow unauthorized actors to access sensitive information, including database credentials.\n\n\nThis issue affects Apache DolphinScheduler versions 3.1.*.\n\n\nUsers are recommended to upgrade to:\n\n\n\n\n\n\n\n * version \u2265 3.2.0 if using 3.1.x\n\n\n\n\n\n\nAs a temporary workaround, users who cannot upgrade immediately may restrict the exposed management endpoints by setting the following environment variable:\n\n\n```\nMANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,metrics,prometheus\n```\n\nAlternatively, add the following configuration to the application.yaml file:\n\n\n```\nmanagement:\n\u00a0 \u00a0endpoints:\n\u00a0 \u00a0 \u00a0web:\n\u00a0 \u00a0 \u00a0 \u00a0 exposure:\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 include: health,metrics,prometheus\n```\n\nThis issue has been reported as CVE-2023-48796:\n\n https://cveprocess.apache.org/cve5/CVE-2023-48796"
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de exposici\u00f3n de informaci\u00f3n sensible a un actor no autorizado en Apache DolphinScheduler.\n\nEsta vulnerabilidad puede permitir a actores no autorizados acceder a informaci\u00f3n sensible, incluyendo credenciales de base de datos.\n\nEste problema afecta a las versiones 3.1.* de Apache DolphinScheduler.\n\nSe recomienda a los usuarios actualizar a:\n\n * la versi\u00f3n ? 3.2.0 si se utiliza la 3.1.x\n\nComo soluci\u00f3n alternativa temporal, los usuarios que no puedan actualizar de inmediato pueden restringir los puntos finales de gesti\u00f3n expuestos configurando la siguiente variable de entorno:\n\n\u0027\u0027\u0027\nMANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,metrics,prometheus\n\u0027\u0027\u0027\n\nAlternativamente, a\u00f1ada la siguiente configuraci\u00f3n al archivo application.yaml:\n\n\u0027\u0027\u0027\nmanagement:\n\u00a0 \u00a0endpoints:\n\u00a0 \u00a0 \u00a0web:\n\u00a0 \u00a0 \u00a0 \u00a0 exposure:\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 include: health,metrics,prometheus\n\u0027\u0027\u0027\n\nEste problema ha sido reportado como CVE-2023-48796:\n\n https://cveprocess.apache.org/cve5/CVE-2023-48796"
}
],
"id": "CVE-2025-62188",
"lastModified": "2026-09-30T22:10:00.273",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-62188",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-09T13:57:14.827090Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-09T10:16:20.260",
"references": [
{
"source": "security@apache.org",
"tags": [
"Not Applicable"
],
"url": "https://lists.apache.org/thread/ffrmkcwgr2lcz0f5nnnyswhpn3fytsvo"
},
{
"source": "security@apache.org",
"tags": [
"Not Applicable"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2023-48796"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"source": "security@apache.org",
"type": "Secondary"
}
]
}
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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.
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- 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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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