GSD-2022-45359
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Unauth. Arbitrary File Upload vulnerability in YITH WooCommerce Gift Cards premium plugin <= 3.19.0 on WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-45359",
"description": "Unauth. Arbitrary File Upload vulnerability in YITH WooCommerce Gift Cards premium plugin \u003c= 3.19.0 on WordPress.",
"id": "GSD-2022-45359"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Unauth. Arbitrary File Upload vulnerability in YITH WooCommerce Gift Cards premium plugin \u003c= 3.19.0 on WordPress.",
"id": "GSD-2022-45359",
"modified": "2023-12-13T01:19:24.497134Z",
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"affects": {
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"product": {
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"product_name": "YITH WooCommerce Gift Cards",
"version": {
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"generator": {
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
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"userInteraction": "NONE",
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"problemtype": {
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"description": [
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"lang": "eng",
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"refsource": "MISC",
"url": "https://patchstack.com/database/vulnerability/yith-woocommerce-gift-cards-premium/wordpress-yith-woocommerce-gift-cards-premium-plugin-3-19-0-unauth-arbitrary-file-upload-vulnerability?_s_id=cve"
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"solution": [
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"type": "text/html",
"value": "Update to\u0026nbsp;3.20.0 or higher version."
}
],
"value": "Update to\u00a03.20.0 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
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"nvd.nist.gov": {
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"nodes": [
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"references": {
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"refsource": "MISC",
"tags": [
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"url": "https://patchstack.com/database/vulnerability/yith-woocommerce-gift-cards-premium/wordpress-yith-woocommerce-gift-cards-premium-plugin-3-19-0-unauth-arbitrary-file-upload-vulnerability?_s_id=cve"
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"impact": {
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"attackComplexity": "LOW",
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"availabilityImpact": "HIGH",
"baseScore": 9.8,
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-12-07T21:50Z",
"publishedDate": "2022-12-06T21:15Z"
}
}
}
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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 |
|---|
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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