GHSA-3J54-VF3C-F8MG
Vulnerability from github – Published: 2026-09-05 06:32 – Updated: 2026-09-05 06:32
VLAI
Details
The Social Chat – Click To Chat App Button plugin for WordPress is vulnerable to Stored Cross-Site Scripting via 'consent_message' JSON Attribute in .qlwapp data-box in all versions up to, and including, 8.6.2 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The exploit requires no user interaction beyond page load, as setting auto_open and consent_enabled to 'yes' in the injected data-box JSON causes the consent box — and the embedded script — to execute immediately on page load.
Severity
6.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-18404"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-05T06:17:09Z",
"severity": "MODERATE"
},
"details": "The Social Chat \u2013 Click To Chat App Button plugin for WordPress is vulnerable to Stored Cross-Site Scripting via \u0027consent_message\u0027 JSON Attribute in .qlwapp data-box in all versions up to, and including, 8.6.2 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The exploit requires no user interaction beyond page load, as setting auto_open and consent_enabled to \u0027yes\u0027 in the injected data-box JSON causes the consent box \u2014 and the embedded script \u2014 to execute immediately on page load.",
"id": "GHSA-3j54-vf3c-f8mg",
"modified": "2026-09-05T06:32:38Z",
"published": "2026-09-05T06:32:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18404"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-whatsapp-chat/tags/8.5.1/build/frontend/js/index.js#L2"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-whatsapp-chat/tags/8.5.1/lib/controllers/class-frontend.php#L86"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-whatsapp-chat/tags/8.6.1/build/frontend/js/index.js#L2"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-whatsapp-chat/tags/8.6.1/lib/controllers/class-frontend.php#L86"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?old_path=%2Fwp-whatsapp-chat/tags/8.6.2\u0026new_path=%2Fwp-whatsapp-chat/tags/8.6.3"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026new=3667778%40wp-whatsapp-chat%2Ftags%2F8.6.3\u0026old=3664149%40wp-whatsapp-chat%2Ftags%2F8.6.2"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/f159392b-5bc6-4c12-a924-13ea170bb7fa?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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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.
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.
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