FKIE_CVE-2025-62714
Vulnerability from fkie_nvd - Published: 2025-10-24 16:28 - Updated: 2026-10-08 11:10
Severity
Summary
Karmada Dashboard is a general-purpose, web-based control panel for Karmada which is a multi-cluster management project. Prior to version 0.2.0, there is an authentication bypass vulnerability in the Karmada Dashboard API. The backend API endpoints (e.g., /api/v1/secret, /api/v1/service) did not enforce authentication, allowing unauthenticated users to access sensitive cluster information such as Secrets and Services directly. Although the web UI required a valid JWT for access, the API itself remained exposed to direct requests without any authentication checks. Any user or entity with network access to the Karmada Dashboard service could exploit this vulnerability to retrieve sensitive data.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "dashboard",
"vendor": "karmada-io",
"versions": [
{
"status": "affected",
"version": "\u003c 0.2.0"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Karmada Dashboard is a general-purpose, web-based control panel for Karmada which is a multi-cluster management project. Prior to version 0.2.0, there is an authentication bypass vulnerability in the Karmada Dashboard API. The backend API endpoints (e.g., /api/v1/secret, /api/v1/service) did not enforce authentication, allowing unauthenticated users to access sensitive cluster information such as Secrets and Services directly. Although the web UI required a valid JWT for access, the API itself remained exposed to direct requests without any authentication checks. Any user or entity with network access to the Karmada Dashboard service could exploit this vulnerability to retrieve sensitive data."
},
{
"lang": "es",
"value": "Karmada Dashboard es un panel de control de prop\u00f3sito general, basado en web, para Karmada, que es un proyecto de gesti\u00f3n multi-cl\u00faster. Antes de la versi\u00f3n 0.2.0, existe una vulnerabilidad de omisi\u00f3n de autenticaci\u00f3n en la API de Karmada Dashboard. Los endpoints de la API de backend (por ejemplo, /api/v1/secret, /api/v1/service) no aplicaban autenticaci\u00f3n, permitiendo a usuarios no autenticados acceder directamente a informaci\u00f3n sensible del cl\u00faster como Secrets y Services. Aunque la interfaz de usuario web requer\u00eda un JWT v\u00e1lido para el acceso, la propia API permanec\u00eda expuesta a solicitudes directas sin ninguna verificaci\u00f3n de autenticaci\u00f3n. Cualquier usuario o entidad con acceso de red al servicio de Karmada Dashboard podr\u00eda explotar esta vulnerabilidad para recuperar datos sensibles."
}
],
"id": "CVE-2025-62714",
"lastModified": "2026-10-08T11:10:00.250",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-62714",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-24T17:29:25.879674Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-10-24T16:28:01.980",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/commit/8457b8bb87725e2371a638ca5a255fd2895c70f1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/commit/d2d04909f25e96b4c20fa6b636c398bd1636ee06"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/pull/271"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/pull/280"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/releases/tag/v0.2.0"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/karmada-io/dashboard/security/advisories/GHSA-5qjg-9mjh-4r92"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security-advisories@github.com",
"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.
- 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.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.