GSD-2022-29424
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Authenticated (admin or higher user role) Reflected Cross-Site Scripting (XSS) vulnerability in Biplob Adhikari's Image Hover Effects Ultimate plugin <= 9.7.1 at WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-29424",
"description": "Authenticated (admin or higher user role) Reflected Cross-Site Scripting (XSS) vulnerability in Biplob Adhikari\u0027s Image Hover Effects Ultimate plugin \u003c= 9.7.1 at WordPress.",
"id": "GSD-2022-29424"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-29424"
],
"details": "Authenticated (admin or higher user role) Reflected Cross-Site Scripting (XSS) vulnerability in Biplob Adhikari\u0027s Image Hover Effects Ultimate plugin \u003c= 9.7.1 at WordPress.",
"id": "GSD-2022-29424",
"modified": "2023-12-13T01:19:42.381932Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "audit@patchstack.com",
"DATE_PUBLIC": "2022-05-04T06:31:00.000Z",
"ID": "CVE-2022-29424",
"STATE": "PUBLIC",
"TITLE": "WordPress Image Hover Effects Ultimate plugin \u003c= 9.7.1 - Authenticated Reflected Cross-Site Scripting (XSS) vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Image Hover Effects Ultimate (WordPress plugin)",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "\u003c= 9.7.1",
"version_value": "9.7.1"
}
]
}
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},
"vendor_name": "Biplob Adhikari"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Vulnerability discovered by Nguy Minh Tuan (Patchstack Alliance)"
}
],
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"data_version": "4.0",
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}
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},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
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"description": [
{
"lang": "eng",
"value": "CWE-79 Cross-site Scripting (XSS)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://wordpress.org/plugins/image-hover-effects-ultimate/#developers",
"refsource": "CONFIRM",
"url": "https://wordpress.org/plugins/image-hover-effects-ultimate/#developers"
},
{
"name": "https://patchstack.com/database/vulnerability/image-hover-effects-ultimate/wordpress-image-hover-effects-ultimate-plugin-9-7-1-authenticated-reflected-cross-site-scripting-xss-vulnerability",
"refsource": "CONFIRM",
"url": "https://patchstack.com/database/vulnerability/image-hover-effects-ultimate/wordpress-image-hover-effects-ultimate-plugin-9-7-1-authenticated-reflected-cross-site-scripting-xss-vulnerability"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to 9.7.2 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:oxilab:image_hover_effects_ultimate:*:*:*:*:*:wordpress:*:*",
"cpe_name": [],
"versionEndIncluding": "9.7.1",
"vulnerable": true
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}
]
},
"problemtype": {
"problemtype_data": [
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"references": {
"reference_data": [
{
"name": "https://patchstack.com/database/vulnerability/image-hover-effects-ultimate/wordpress-image-hover-effects-ultimate-plugin-9-7-1-authenticated-reflected-cross-site-scripting-xss-vulnerability",
"refsource": "CONFIRM",
"tags": [
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"url": "https://patchstack.com/database/vulnerability/image-hover-effects-ultimate/wordpress-image-hover-effects-ultimate-plugin-9-7-1-authenticated-reflected-cross-site-scripting-xss-vulnerability"
},
{
"name": "https://wordpress.org/plugins/image-hover-effects-ultimate/#developers",
"refsource": "CONFIRM",
"tags": [
"Product"
],
"url": "https://wordpress.org/plugins/image-hover-effects-ultimate/#developers"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.7,
"impactScore": 2.7
}
},
"lastModifiedDate": "2022-05-26T19:49Z",
"publishedDate": "2022-05-20T20:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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