GHSA-H5PF-GC8W-PFF5
Vulnerability from github – Published: 2026-09-12 15:31 – Updated: 2026-09-12 15:31
VLAI
Details
The Booking for Appointments and Events Calendar plugin for WordPress is vulnerable to Stored Cross-Site Scripting via multiple Elementor widgets in versions up to and including 2.4.9. This is due to insufficient input sanitization and output escaping on the 'load_manually' parameter in the render() methods of classes. This makes it possible for authenticated attackers, with Contributor-level access and above who can use Elementor, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The vulnerability was partially patched in version 2.4.8.
Severity
6.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-10148"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-12T13:16:50Z",
"severity": "MODERATE"
},
"details": "The Booking for Appointments and Events Calendar plugin for WordPress is vulnerable to Stored Cross-Site Scripting via multiple Elementor widgets in versions up to and including 2.4.9. This is due to insufficient input sanitization and output escaping on the \u0027load_manually\u0027 parameter in the render() methods of classes. This makes it possible for authenticated attackers, with Contributor-level access and above who can use Elementor, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The vulnerability was partially patched in version 2.4.8.",
"id": "GHSA-h5pf-gc8w-pff5",
"modified": "2026-09-12T15:31:49Z",
"published": "2026-09-12T15:31:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-10148"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/tags/2.2.1/src/Infrastructure/WP/Elementor/AmeliaEventsCalendarBookingElementorWidget.php#L186"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/tags/2.2.1/src/Infrastructure/WP/Elementor/AmeliaEventsElementorWidget.php#L134"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/tags/2.2.1/src/Infrastructure/WP/Elementor/AmeliaEventsListBookingElementorWidget.php#L247"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/tags/2.2.1/src/Infrastructure/WP/Elementor/AmeliaStepBookingElementorWidget.php#L200"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/tags/2.2.1/src/Infrastructure/WP/Elementor/AmeliaStepBookingElementorWidget.php#L226"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/trunk/src/Infrastructure/WP/Elementor/AmeliaEventsCalendarBookingElementorWidget.php#L186"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/trunk/src/Infrastructure/WP/Elementor/AmeliaEventsElementorWidget.php#L134"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/trunk/src/Infrastructure/WP/Elementor/AmeliaEventsListBookingElementorWidget.php#L247"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/trunk/src/Infrastructure/WP/Elementor/AmeliaStepBookingElementorWidget.php#L200"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ameliabooking/trunk/src/Infrastructure/WP/Elementor/AmeliaStepBookingElementorWidget.php#L226"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3657136"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3687762"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/06ec5c60-169c-4bbb-92bf-802805d46c62?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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