CVE-2022-36282 (GCVE-0-2022-36282)
Vulnerability from cvelistv5 – Published: 2022-08-23 15:46 – Updated: 2026-04-28 16:07
VLAI
EPSS
VEX
Title
WordPress Search Exclude plugin <= 1.2.6 - Authenticated Stored Cross-Site Scripting (XSS) vulnerability
Summary
Authenticated (editor+) Stored Cross-Site Scripting (XSS) vulnerability in Roman Pronskiy's Search Exclude plugin <= 1.2.6 at WordPress.
Severity
4.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-20 19:26 UTC
CWE
- CWE-79 - Cross-site Scripting (XSS)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://patchstack.com/database/vulnerability/sea… | x_refsource_CONFIRM |
| https://wordpress.org/plugins/search-exclude/#dev… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Roman Pronskiy | Search Exclude (WordPress plugin) |
Affected:
<= 1.2.6 , ≤ 1.2.6
(custom)
|
guessed |
Date Public
2022-08-22 00:00
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"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"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-79 Cross-site Scripting (XSS)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://patchstack.com/database/vulnerability/search-exclude/wordpress-search-exclude-plugin-1-2-6-authenticated-stored-cross-site-scripting-xss-vulnerability",
"refsource": "CONFIRM",
"url": "https://patchstack.com/database/vulnerability/search-exclude/wordpress-search-exclude-plugin-1-2-6-authenticated-stored-cross-site-scripting-xss-vulnerability"
},
{
"name": "https://wordpress.org/plugins/search-exclude/#developers",
"refsource": "CONFIRM",
"url": "https://wordpress.org/plugins/search-exclude/#developers"
}
]
},
"solution": [
{
"lang": "en",
"value": "Update to 1.2.7 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "21595511-bba5-4825-b968-b78d1f9984a3",
"assignerShortName": "Patchstack",
"cveId": "CVE-2022-36282",
"datePublished": "2022-08-23T15:46:48.790Z",
"dateReserved": "2022-07-22T00:00:00.000Z",
"dateUpdated": "2026-04-28T16:07:44.781Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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