CVE-2023-28687 (GCVE-0-2023-28687)
Vulnerability from cvelistv5 – Published: 2024-03-26 20:20 – Updated: 2026-04-28 16:08
VLAI
EPSS
VEX
Title
Reflected Cross-Site Scripting (XSS) vulnerability in multiple WordPress themes
Summary
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in perfectwpthemes Glaze Blog Lite, themebeez Fascinate, themebeez Cream Blog, themebeez Cream Magazine allows Reflected XSS.This issue affects Glaze Blog Lite: from n/a through <= 1.1.4; Fascinate: from n/a through 1.0.8; Cream Blog: from n/a through 2.1.3; Cream Magazine: from n/a through 2.1.4.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-05 16:36 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://patchstack.com/database/vulnerability/gla… | vdb-entry |
| https://patchstack.com/database/vulnerability/fas… | vdb-entry |
| https://patchstack.com/database/vulnerability/cre… | vdb-entry |
| https://patchstack.com/database/vulnerability/cre… | vdb-entry |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| perfectwpthemes | Glaze Blog Lite |
Affected:
n/a , ≤ <= 1.1.4
(custom)
|
guessed | |
| themebeez | Fascinate |
Affected:
n/a , ≤ 1.0.8
(custom)
|
guessed | |
| themebeez | Cream Blog |
Affected:
n/a , ≤ 2.1.3
(custom)
|
guessed | |
| themebeez | Cream Magazine |
Affected:
n/a , ≤ 2.1.4
(custom)
|
guessed |
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"value": "CAPEC-591 Reflected XSS"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-03-26T20:20:59.986Z",
"orgId": "21595511-bba5-4825-b968-b78d1f9984a3",
"shortName": "Patchstack"
},
"references": [
{
"tags": [
"vdb-entry"
],
"url": "https://patchstack.com/database/vulnerability/glaze-blog-lite/wordpress-glaze-blog-lite-theme-1-1-4-cross-site-scripting-xss-vulnerability"
},
{
"tags": [
"vdb-entry"
],
"url": "https://patchstack.com/database/vulnerability/fascinate/wordpress-fascinate-theme-1-0-8-cross-site-scripting-xss-vulnerability?_s_id=cve"
},
{
"tags": [
"vdb-entry"
],
"url": "https://patchstack.com/database/vulnerability/cream-blog/wordpress-cream-blog-theme-2-1-3-cross-site-scripting-xss-vulnerability?_s_id=cve"
},
{
"tags": [
"vdb-entry"
],
"url": "https://patchstack.com/database/vulnerability/cream-magazine/wordpress-cream-magazine-theme-2-1-4-cross-site-scripting-xss-vulnerability?_s_id=cve"
}
],
"solutions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "Update Glaze Blog Lite to\u0026nbsp;1.1.5;\u0026nbsp;Fascinate to 1.0.9; Cream Blog to\u0026nbsp;2.1.4; Cream Magazine to 2.1.5 or higher versions."
}
],
"value": "Update Glaze Blog Lite to\u00a01.1.5;\u00a0Fascinate to 1.0.9; Cream Blog to\u00a02.1.4; Cream Magazine to 2.1.5 or higher versions."
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Reflected Cross-Site Scripting (XSS) vulnerability in multiple WordPress themes",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "21595511-bba5-4825-b968-b78d1f9984a3",
"assignerShortName": "Patchstack",
"cveId": "CVE-2023-28687",
"datePublished": "2024-03-26T20:20:59.986Z",
"dateReserved": "2023-03-21T07:14:41.938Z",
"dateUpdated": "2024-08-05T16:36:22.352Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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