GSD-2023-6190
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Improper Input Validation vulnerability in İzmir Katip Çelebi University University Information Management System allows Absolute Path Traversal.This issue affects University Information Management System: before 30.11.2023.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-6190",
"id": "GSD-2023-6190"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Improper Input Validation vulnerability in \u0130zmir Katip \u00c7elebi University University Information Management System allows Absolute Path Traversal.This issue affects University Information Management System: before 30.11.2023.\n\n",
"id": "GSD-2023-6190",
"modified": "2023-12-13T01:20:32.985409Z",
"schema_version": "1.4.0"
}
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"STATE": "PUBLIC"
},
"affects": {
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{
"product": {
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{
"product_name": "University Information Management System",
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"version_affected": "\u003c",
"version_name": "0",
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}
]
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"vendor_name": "\u0130zmir Katip \u00c7elebi University"
}
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}
},
"credits": [
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"lang": "en",
"value": "Mustafa An\u0131l YILDIRIM"
}
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"description": {
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"value": "Improper Input Validation vulnerability in \u0130zmir Katip \u00c7elebi University University Information Management System allows Absolute Path Traversal.This issue affects University Information Management System: before 30.11.2023.\n\n"
}
]
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"generator": {
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"impact": {
"cvss": [
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:H",
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"name": "https://www.usom.gov.tr/bildirim/tr-23-0736",
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"url": "https://www.usom.gov.tr/bildirim/tr-23-0736"
}
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},
"source": {
"advisory": "TR-23-0736",
"defect": [
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],
"discovery": "UNKNOWN"
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},
"nvd.nist.gov": {
"cve": {
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"descriptions": [
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"lang": "en",
"value": "Improper Input Validation vulnerability in \u0130zmir Katip \u00c7elebi University University Information Management System allows Absolute Path Traversal.This issue affects University Information Management System: before 30.11.2023.\n\n"
},
{
"lang": "es",
"value": "Vulnerabilidad de validaci\u00f3n de entrada incorrecta en ?zmir Katip \u00c7elebi University University Information Management System permite un path traversal. Este problema afecta a University Information Management System: antes del 30.11.2023."
}
],
"id": "CVE-2023-6190",
"lastModified": "2024-02-29T01:42:33.877",
"metrics": {
"cvssMetricV31": [
{
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"attackVector": "NETWORK",
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"source": "nvd@nist.gov",
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:H",
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"exploitabilityScore": 1.2,
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"source": "iletisim@usom.gov.tr",
"type": "Secondary"
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},
"published": "2023-12-27T15:15:45.900",
"references": [
{
"source": "iletisim@usom.gov.tr",
"tags": [
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"url": "https://www.usom.gov.tr/bildirim/tr-23-0736"
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"vulnStatus": "Modified",
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}
}
}
}
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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.
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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