FKIE_CVE-2024-48107
Vulnerability from fkie_nvd - Published: 2024-10-28 21:15 - Updated: 2026-06-17 07:58
Severity
Summary
SparkShop <=1.1.7 is vulnerable to server-side request forgery (SSRF). This vulnerability allows attacks to scan ports on the Intranet or local network where the server resides, attack applications running on the Intranet or local network, or read metadata on the cloud server.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:sparkshop:sparkshop:*:*:*:*:*:*:*:*",
"matchCriteriaId": "E8EF8BF6-A654-456E-BF8E-75E961C46EA8",
"versionEndIncluding": "1.1.7",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "SparkShop \u003c=1.1.7 is vulnerable to server-side request forgery (SSRF). This vulnerability allows attacks to scan ports on the Intranet or local network where the server resides, attack applications running on the Intranet or local network, or read metadata on the cloud server."
},
{
"lang": "es",
"value": "SparkShop \u0026lt;=1.1.7 es vulnerable a server-side request forgery (SSRF). Esta vulnerabilidad permite realizar ataques para escanear puertos en la intranet o red local donde reside el servidor, atacar aplicaciones que se ejecutan en la intranet o red local o leer metadatos en el servidor en la nube."
}
],
"id": "CVE-2024-48107",
"lastModified": "2026-06-17T07:58:12.383",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-48107",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-10-30T16:47:44.919227Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-10-28T21:15:09.453",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://gist.github.com/RMAX2000/ebb654016e5b8a5b55aa6d8a7f2f321a#file-cve-2024-48107"
},
{
"source": "cve@mitre.org",
"tags": [
"Product"
],
"url": "https://gitee.com/sparkshop/sparkshop"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"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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