GSD-2023-28699
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Wade Graphic Design FANTSY has a vulnerability of insufficient filtering for file type in its file update function. An authenticated remote attacker with general user privilege can exploit this vulnerability to upload a PHP file containing a webshell to perform arbitrary system operation or disrupt service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-28699",
"id": "GSD-2023-28699"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Wade Graphic Design FANTSY has a vulnerability of insufficient filtering for file type in its file update function. An authenticated remote attacker with general user privilege can exploit this vulnerability to upload a PHP file containing a webshell to perform arbitrary system operation or disrupt service.",
"id": "GSD-2023-28699",
"modified": "2023-12-13T01:20:46.650142Z",
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"ID": "CVE-2023-28699",
"STATE": "PUBLIC",
"TITLE": "WADE DIGITAL DESIGN CO, LTD. FANTSY - Arbitrary File Upload"
},
"affects": {
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"vendor_data": [
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"product": {
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}
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"baseScore": 8.8,
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"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",
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}
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"url": "https://www.twcert.org.tw/tw/cp-132-7102-41ab8-1.html"
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},
"source": {
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"discovery": "EXTERNAL"
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"description": {
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"value": "Wade Graphic Design FANTSY has a vulnerability of insufficient filtering for file type in its file update function. An authenticated remote attacker with general user privilege can exploit this vulnerability to upload a PHP file containing a webshell to perform arbitrary system operation or disrupt service."
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"impact": {
"baseMetricV3": {
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"attackVector": "NETWORK",
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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},
"lastModifiedDate": "2023-06-09T18:14Z",
"publishedDate": "2023-06-02T11:15Z"
}
}
}
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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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