GSD-2022-30536
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Authenticated Stored Cross-Site Scripting (XSS) vulnerability in Florent Maillefaud's WP Maintenance plugin <= 6.0.7 at WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-30536",
"description": "Authenticated Stored Cross-Site Scripting (XSS) vulnerability in Florent Maillefaud\u0027s WP Maintenance plugin \u003c= 6.0.7 at WordPress.",
"id": "GSD-2022-30536"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-30536"
],
"details": "Authenticated Stored Cross-Site Scripting (XSS) vulnerability in Florent Maillefaud\u0027s WP Maintenance plugin \u003c= 6.0.7 at WordPress.",
"id": "GSD-2022-30536",
"modified": "2023-12-13T01:19:37.504648Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2022-06-28T13:50:00.000Z",
"ID": "CVE-2022-30536",
"STATE": "PUBLIC",
"TITLE": "WordPress WP Maintenance plugin \u003c= 6.0.7 - Authenticated Stored Cross-Site Scripting (XSS) vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "WP Maintenance (WordPress plugin)",
"version": {
"version_data": [
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"version_affected": "\u003c=",
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"vendor_name": "Florent Maillefaud"
}
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"credit": [
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"lang": "eng",
"value": "Vulnerability discovered by BEE-K (Patchstack)"
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}
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},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3.4,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:N/I:L/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
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"description": [
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"lang": "eng",
"value": "CWE-79 Cross-site Scripting (XSS)"
}
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},
"references": {
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{
"name": "https://wordpress.org/plugins/wp-maintenance/#developers",
"refsource": "CONFIRM",
"url": "https://wordpress.org/plugins/wp-maintenance/#developers"
},
{
"name": "https://patchstack.com/database/vulnerability/wp-maintenance/wordpress-wp-maintenance-plugin-6-0-7-authenticated-stored-cross-site-scripting-xss-vulnerability",
"refsource": "CONFIRM",
"url": "https://patchstack.com/database/vulnerability/wp-maintenance/wordpress-wp-maintenance-plugin-6-0-7-authenticated-stored-cross-site-scripting-xss-vulnerability"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to 6.0.8 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"cpe_match": [
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"cpe_name": [],
"versionEndExcluding": "6.0.8",
"vulnerable": true
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"operator": "OR"
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"cve": {
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"references": {
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{
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"refsource": "CONFIRM",
"tags": [
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"Third Party Advisory"
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"url": "https://wordpress.org/plugins/wp-maintenance/#developers"
},
{
"name": "https://patchstack.com/database/vulnerability/wp-maintenance/wordpress-wp-maintenance-plugin-6-0-7-authenticated-stored-cross-site-scripting-xss-vulnerability",
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"tags": [
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}
]
}
},
"impact": {
"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": "2022-07-25T03:33Z",
"publishedDate": "2022-07-21T18:15Z"
}
}
}
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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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