CVE-2021-36889 (GCVE-0-2021-36889)
Vulnerability from cvelistv5 – Published: 2021-12-20 20:08 – Updated: 2026-04-28 16:07
VLAI
EPSS
VEX
Title
WordPress tarteaucitron.js – Cookies legislation & GDPR plugin <= 1.6 - Multiple Stored Authenticated Cross-Site Scripting (XSS) vulnerabilities
Summary
Multiple Stored Authenticated Cross-Site Scripting (XSS) vulnerabilities were discovered in tarteaucitron.js – Cookies legislation & GDPR WordPress plugin (versions <= 1.6).
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-28 16:16 UTC
CWE
- CWE-79 - Cross-site Scripting (XSS)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://wordpress.org/plugins/tarteaucitronjs/#de… | x_refsource_CONFIRM |
| https://patchstack.com/database/vulnerability/tar… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Tarteaucitron | tarteaucitron.js – Cookies legislation & GDPR (WordPress plugin) |
Affected:
<= 1.6 , ≤ 1.6
(custom)
|
guessed |
Date Public
2021-12-17 00:00
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"url": "https://wordpress.org/plugins/tarteaucitronjs/#developers"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://patchstack.com/database/vulnerability/tarteaucitronjs/wordpress-tarteaucitron-js-cookies-legislation-gdpr-plugin-1-6-multiple-stored-authenticated-cross-site-scripting-xss-vulnerabilities"
}
],
"solutions": [
{
"lang": "en",
"value": "Update to 1.6.1 or higher version."
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "WordPress tarteaucitron.js \u2013 Cookies legislation \u0026 GDPR plugin \u003c= 1.6 - Multiple Stored Authenticated Cross-Site Scripting (XSS) vulnerabilities",
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},
"x_legacyV4Record": {
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"DATE_PUBLIC": "2021-12-17T14:06:00.000Z",
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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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