GSD-2022-34658
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Multiple Authenticated (contributor+) Persistent Cross-Site Scripting (XSS) vulnerabilities in W3 Eden Download Manager plugin <= 3.2.48 at WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-34658",
"description": "Multiple Authenticated (contributor+) Persistent Cross-Site Scripting (XSS) vulnerabilities in W3 Eden Download Manager plugin \u003c= 3.2.48 at WordPress.",
"id": "GSD-2022-34658"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "Multiple Authenticated (contributor+) Persistent Cross-Site Scripting (XSS) vulnerabilities in W3 Eden Download Manager plugin \u003c= 3.2.48 at WordPress.",
"id": "GSD-2022-34658",
"modified": "2023-12-13T01:19:18.990324Z",
"schema_version": "1.4.0"
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"STATE": "PUBLIC",
"TITLE": "WordPress Download Manager plugin \u003c= 3.2.48 - Multiple Authenticated Persistent Cross-Site Scripting (XSS) vulnerabilities"
},
"affects": {
"vendor": {
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{
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"version": {
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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"name": "https://wordpress.org/plugins/download-manager/#developers",
"refsource": "CONFIRM",
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},
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}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to 3.2.49 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
},
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"tags": [
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{
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},
"impact": {
"baseMetricV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
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"confidentialityImpact": "LOW",
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"version": "3.1"
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"exploitabilityScore": 2.3,
"impactScore": 2.7
}
},
"lastModifiedDate": "2022-08-25T12:29Z",
"publishedDate": "2022-08-23T16:15Z"
}
}
}
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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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