GSD-2022-42494
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Server Side Request Forgery (SSRF) vulnerability in All in One SEO Pro plugin <= 4.2.5.1 on WordPress.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-42494",
"description": "Server Side Request Forgery (SSRF) vulnerability in All in One SEO Pro plugin \u003c= 4.2.5.1 on WordPress.",
"id": "GSD-2022-42494"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-42494"
],
"details": "Server Side Request Forgery (SSRF) vulnerability in All in One SEO Pro plugin \u003c= 4.2.5.1 on WordPress.",
"id": "GSD-2022-42494",
"modified": "2023-12-13T01:19:10.834484Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "audit@patchstack.com",
"DATE_PUBLIC": "2022-10-27T22:14:00.000Z",
"ID": "CVE-2022-42494",
"STATE": "PUBLIC",
"TITLE": "WordPress All in One SEO Pro plugin \u003c= 4.2.5.1 - Server Side Request Forgery (SSRF) vulnerability"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "All in One SEO Pro (WordPress plugin)",
"version": {
"version_data": [
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"version_affected": "\u003c=",
"version_name": "\u003c= 4.2.5.1",
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},
"vendor_name": "Semper Plugins, LLC"
}
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"credit": [
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"value": "Vulnerability discovered by Rafie Muhammad aka Yeraisci (Patchstack Alliance)"
}
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}
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"generator": {
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},
"impact": {
"cvss": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 3,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
}
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"problemtype": {
"problemtype_data": [
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"description": [
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"lang": "eng",
"value": "CWE-918 Server-Side Request Forgery (SSRF)"
}
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},
"references": {
"reference_data": [
{
"name": "https://patchstack.com/database/vulnerability/all-in-one-seo-pack-pro/wordpress-all-in-one-seo-pro-plugin-4-2-5-1-server-side-request-forgery-ssrf-vulnerability?_s_id=cve",
"refsource": "CONFIRM",
"url": "https://patchstack.com/database/vulnerability/all-in-one-seo-pack-pro/wordpress-all-in-one-seo-pro-plugin-4-2-5-1-server-side-request-forgery-ssrf-vulnerability?_s_id=cve"
},
{
"name": "https://aioseo.com/changelog/",
"refsource": "CONFIRM",
"url": "https://aioseo.com/changelog/"
}
]
},
"solution": [
{
"lang": "eng",
"value": "Update to 4.2.6 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:aioseo:all_in_one_seo:*:*:*:*:*:wordpress:*:*",
"cpe_name": [],
"versionEndIncluding": "4.2.5.1",
"vulnerable": true
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"operator": "OR"
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"problemtype": {
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},
"references": {
"reference_data": [
{
"name": "https://aioseo.com/changelog/",
"refsource": "CONFIRM",
"tags": [
"Release Notes",
"Vendor Advisory"
],
"url": "https://aioseo.com/changelog/"
},
{
"name": "https://patchstack.com/database/vulnerability/all-in-one-seo-pack-pro/wordpress-all-in-one-seo-pro-plugin-4-2-5-1-server-side-request-forgery-ssrf-vulnerability?_s_id=cve",
"refsource": "CONFIRM",
"tags": [
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],
"url": "https://patchstack.com/database/vulnerability/all-in-one-seo-pack-pro/wordpress-all-in-one-seo-pro-plugin-4-2-5-1-server-side-request-forgery-ssrf-vulnerability?_s_id=cve"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 5.2
}
},
"lastModifiedDate": "2022-11-09T13:52Z",
"publishedDate": "2022-11-08T19:15Z"
}
}
}
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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 |
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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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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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