GSD-2019-19164
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
dext5.ocx ActiveX Control in Dext5 Upload 5.0.0.112 and earlier versions contains a vulnerability that could allow remote files to be executed by setting the arguments to the activex method. A remote attacker could induce a user to access a crafted web page, causing damage such as malicious code infection.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-19164",
"description": "dext5.ocx ActiveX Control in Dext5 Upload 5.0.0.112 and earlier versions contains a vulnerability that could allow remote files to be executed by setting the arguments to the activex method. A remote attacker could induce a user to access a crafted web page, causing damage such as malicious code infection.",
"id": "GSD-2019-19164"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-19164"
],
"details": "dext5.ocx ActiveX Control in Dext5 Upload 5.0.0.112 and earlier versions contains a vulnerability that could allow remote files to be executed by setting the arguments to the activex method. A remote attacker could induce a user to access a crafted web page, causing damage such as malicious code infection.",
"id": "GSD-2019-19164",
"modified": "2023-12-13T01:23:54.588571Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC",
"TITLE": "Dext5 Upload ActiveX Arbitrary File Execution Vulnerability"
},
"affects": {
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"version": {
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},
{
"version_value": "Fixed: 5.0.0.113"
}
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}
}
]
},
"vendor_name": "RAONWiz"
}
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"value": "Yu, Donghyun"
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}
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"impact": {
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"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
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"confidentialityImpact": "HIGH",
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"value": "CWE-20 Improper Input Validation"
}
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"name": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=35344",
"refsource": "CONFIRM",
"url": "https://www.boho.or.kr/krcert/secNoticeView.do?bulletin_writing_sequence=35344"
},
{
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"impact": {
"baseMetricV2": {
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"baseSeverity": "HIGH",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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}
},
"lastModifiedDate": "2021-10-29T19:29Z",
"publishedDate": "2020-05-07T18:15Z"
}
}
}
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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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