GSD-2023-4792
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The Duplicate Post Page Menu & Custom Post Type plugin for WordPress is vulnerable to unauthorized page and post duplication due to a missing capability check on the duplicate_ppmc_post_as_draft function in versions up to, and including, 2.3.1. This makes it possible for authenticated attackers with subscriber access or higher to duplicate posts and pages.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-4792",
"id": "GSD-2023-4792"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-4792"
],
"details": "The Duplicate Post Page Menu \u0026 Custom Post Type plugin for WordPress is vulnerable to unauthorized page and post duplication due to a missing capability check on the duplicate_ppmc_post_as_draft function in versions up to, and including, 2.3.1. This makes it possible for authenticated attackers with subscriber access or higher to duplicate posts and pages.",
"id": "GSD-2023-4792",
"modified": "2023-12-13T01:20:27.159506Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ID": "CVE-2023-4792",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Duplicate Post Page Menu \u0026 Custom Post Type",
"version": {
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{
"version_affected": "\u003c=",
"version_name": "*",
"version_value": "2.3.1"
}
]
}
}
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},
"vendor_name": "inqsys"
}
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"credits": [
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"lang": "en",
"value": "Marco Wotschka"
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}
]
},
"impact": {
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{
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
}
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"lang": "eng",
"value": "CWE-862 Missing Authorization"
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},
{
"name": "https://plugins.trac.wordpress.org/browser/duplicate-post-page-menu-custom-post-type/trunk/duplicate-post-page-menu-cpt.php?rev=2871256#L383",
"refsource": "MISC",
"url": "https://plugins.trac.wordpress.org/browser/duplicate-post-page-menu-custom-post-type/trunk/duplicate-post-page-menu-cpt.php?rev=2871256#L383"
},
{
"name": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=2963515%40duplicate-post-page-menu-custom-post-type\u0026new=2963515%40duplicate-post-page-menu-custom-post-type\u0026sfp_email=\u0026sfph_mail=",
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"url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=2963515%40duplicate-post-page-menu-custom-post-type\u0026new=2963515%40duplicate-post-page-menu-custom-post-type\u0026sfp_email=\u0026sfph_mail="
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:inqsys:duplicate_post_page_menu_\\\u0026_custom_post_type:*:*:*:*:*:wordpress:*:*",
"cpe_name": [],
"versionEndIncluding": "2.3.1",
"vulnerable": true
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"operator": "OR"
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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}
]
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"problemtype": {
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"references": {
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"refsource": "MISC",
"tags": [
"Product"
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"url": "https://plugins.trac.wordpress.org/browser/duplicate-post-page-menu-custom-post-type/trunk/duplicate-post-page-menu-cpt.php?rev=2871256#L383"
},
{
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"tags": [
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{
"name": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=2963515%40duplicate-post-page-menu-custom-post-type\u0026new=2963515%40duplicate-post-page-menu-custom-post-type\u0026sfp_email=\u0026sfph_mail=",
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4
}
},
"lastModifiedDate": "2023-09-11T18:16Z",
"publishedDate": "2023-09-07T02:15Z"
}
}
}
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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.
- 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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