GSD-2022-41315
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Auth. Stored Cross-Site Scripting (XSS) vulnerability in Ezoic plugin <= 2.8.8 on WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-41315",
"id": "GSD-2022-41315"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Auth. Stored Cross-Site Scripting (XSS) vulnerability in Ezoic plugin \u003c= 2.8.8 on WordPress.",
"id": "GSD-2022-41315",
"modified": "2023-12-13T01:19:32.837668Z",
"schema_version": "1.4.0"
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"ID": "CVE-2022-41315",
"STATE": "PUBLIC",
"TITLE": "WordPress Ezoic plugin \u003c= 2.8.8 - Auth. Stored Cross-Site Scripting (XSS) vulnerability"
},
"affects": {
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"product": {
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{
"product_name": "Ezoic (WordPress plugin)",
"version": {
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"version_affected": "\u003c=",
"version_name": "\u003c= 2.8.8",
"version_value": "2.8.8"
}
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},
"vendor_name": "Ezoic Inc."
}
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"credit": [
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"value": "Vulnerability discovered by Jos\u00e9 Aguilera (Patchstack Alliance)"
}
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"generator": {
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"impact": {
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"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"
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"value": "CWE-79 Cross-site Scripting (XSS)"
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"references": {
"reference_data": [
{
"name": "https://patchstack.com/database/vulnerability/ezoic-integration/wordpress-ezoic-plugin-2-8-8-auth-stored-cross-site-scripting-xss-vulnerability?_s_id=cve",
"refsource": "CONFIRM",
"url": "https://patchstack.com/database/vulnerability/ezoic-integration/wordpress-ezoic-plugin-2-8-8-auth-stored-cross-site-scripting-xss-vulnerability?_s_id=cve"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to 2.8.9 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
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"nodes": [
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"cpe_match": [
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"cpe_name": [],
"versionEndIncluding": "2.8.8",
"vulnerable": true
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"description": {
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"refsource": "CONFIRM",
"tags": [
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"url": "https://patchstack.com/database/vulnerability/ezoic-integration/wordpress-ezoic-plugin-2-8-8-auth-stored-cross-site-scripting-xss-vulnerability?_s_id=cve"
}
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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"
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"exploitabilityScore": 1.7,
"impactScore": 2.7
}
},
"lastModifiedDate": "2022-11-22T00:34Z",
"publishedDate": "2022-11-17T23:15Z"
}
}
}
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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.
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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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