FKIE_CVE-2024-22263
Vulnerability from fkie_nvd - Published: 2024-06-19 15:15 - Updated: 2026-06-17 07:11
Severity
Summary
Spring Cloud Data Flow is a microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes. The Skipper server has the ability to receive upload package requests. However, due to improper sanitization for upload path, a malicious user who has access to skipper server api can use a crafted upload request to write arbitrary file to any location on file system, may even compromises the server.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Spring Cloud Skipper",
"vendor": "Spring by VMware Tanzu",
"versions": [
{
"status": "affected",
"version": "2.11.0 - 2.11.2, 2.10.x"
}
]
}
],
"source": "security@vmware.com"
},
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:spring_by_vmware_tanzu:spring_cloud_skipper:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unaffected",
"product": "spring_cloud_skipper",
"vendor": "spring_by_vmware_tanzu",
"versions": [
{
"lessThanOrEqual": "2.11.2",
"status": "affected",
"version": "2.11.0",
"versionType": "custom"
},
{
"status": "affected",
"version": "2.10.x"
}
]
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Spring Cloud Data Flow is a microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes. The Skipper server has the ability to receive upload package requests. However, due to improper sanitization for upload path, a malicious user who has access to skipper server api can use a crafted upload request to write arbitrary file to any location on file system, may even compromises the server."
},
{
"lang": "es",
"value": "Spring Cloud Data Flow es un procesamiento de datos por lotes y streaming basado en microservicios en Cloud Foundry y Kubernetes. El servidor Skipper tiene la capacidad de recibir solicitudes de carga de paquetes. Sin embargo, debido a una sanitizaci\u00f3n inadecuada de la ruta de carga, un usuario malintencionado que tenga acceso a la API del servidor skipper puede utilizar una solicitud de carga manipulada para escribir un archivo arbitrario en cualquier ubicaci\u00f3n del sistema de archivos e incluso puede comprometer el servidor."
}
],
"id": "CVE-2024-22263",
"lastModified": "2026-06-17T07:11:03.597",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "security@vmware.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-22263",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-06-20T19:16:36.275106Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-06-19T15:15:58.327",
"references": [
{
"source": "security@vmware.com",
"url": "https://spring.io/security/cve-2024-22263"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://spring.io/security/cve-2024-22263"
}
],
"sourceIdentifier": "security@vmware.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-434"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.