GSD-2020-7875
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
DEXT5 Upload 5.0.0.117 and earlier versions contain a vulnerability, which could allow remote attacker to download and execute remote file by setting the argument, variable in the activeX module. This can be leveraged for code execution.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-7875",
"description": "DEXT5 Upload 5.0.0.117 and earlier versions contain a vulnerability, which could allow remote attacker to download and execute remote file by setting the argument, variable in the activeX module. This can be leveraged for code execution.",
"id": "GSD-2020-7875"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "DEXT5 Upload 5.0.0.117 and earlier versions contain a vulnerability, which could allow remote attacker to download and execute remote file by setting the argument, variable in the activeX module. This can be leveraged for code execution.",
"id": "GSD-2020-7875",
"modified": "2023-12-13T01:21:52.073872Z",
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}
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"ID": "CVE-2020-7875",
"STATE": "PUBLIC",
"TITLE": "RAONWIZ DEXT5 Upload ActiveX remote file execution vulnerability"
},
"affects": {
"vendor": {
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{
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"product_data": [
{
"product_name": "DEXT5 Upload",
"version": {
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}
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}
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},
"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"description": [
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"lang": "eng",
"value": "CWE-494 Download of Code Without Integrity Check"
}
]
}
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"name": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=36312",
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"url": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=36312"
}
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},
"source": {
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
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"description": {
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"tags": [
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},
"impact": {
"baseMetricV2": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
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"version": "2.0"
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},
"lastModifiedDate": "2021-11-01T20:06Z",
"publishedDate": "2021-10-28T16:15Z"
}
}
}
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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 |
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Nomenclature
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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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