GHSA-63V3-HVPJ-CXRM
Vulnerability from github – Published: 2026-09-05 09:30 – Updated: 2026-09-05 09:30
VLAI
Details
The Spam protection, Honeypot, Anti-Spam by CleanTalk plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Comment Content aria-label Placeholder in all versions up to, and including, 6.86 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with custom-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The payload is deliverable via unauthenticated comment submission and executes exclusively for non-logged-in visitors; if comment moderation is enabled, an approving moderator must first publish the comment before the script reaches other users.
Severity
7.2 (High)
{
"affected": [],
"aliases": [
"CVE-2026-77830"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-05T07:17:12Z",
"severity": "HIGH"
},
"details": "The Spam protection, Honeypot, Anti-Spam by CleanTalk plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Comment Content aria-label Placeholder in all versions up to, and including, 6.86 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with custom-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The payload is deliverable via unauthenticated comment submission and executes exclusively for non-logged-in visitors; if comment moderation is enabled, an approving moderator must first publish the comment before the script reaches other users.",
"id": "GHSA-63v3-hvpj-cxrm",
"modified": "2026-09-05T09:30:21Z",
"published": "2026-09-05T09:30:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-77830"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.84/cleantalk.php#L234"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.84/lib/Cleantalk/ApbctWP/ContactsEncoder/ContactsEncoder.php#L114"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.84/lib/Cleantalk/Common/ContactsEncoder/ContactsEncoder.php#L914"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.84/lib/Cleantalk/Common/ContactsEncoder/ContactsEncoder.php#L933"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.85/cleantalk.php#L234"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.85/lib/Cleantalk/ApbctWP/ContactsEncoder/ContactsEncoder.php#L114"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.85/lib/Cleantalk/Common/ContactsEncoder/ContactsEncoder.php#L914"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/cleantalk-spam-protect/tags/6.85/lib/Cleantalk/Common/ContactsEncoder/ContactsEncoder.php#L933"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3677388/cleantalk-spam-protect/trunk/lib/Cleantalk/Common/ContactsEncoder/ContactsEncoder.php"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?old_path=%2Fcleantalk-spam-protect/tags/6.86\u0026new_path=%2Fcleantalk-spam-protect/tags/6.87"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026new=3677388%40cleantalk-spam-protect%2Ftags%2F6.87\u0026old=3654120%40cleantalk-spam-protect%2Ftags%2F6.86"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/10e7000b-597a-4165-8604-cb6b29714abb?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/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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