GHSA-PQCG-GW2F-RQP8
Vulnerability from github – Published: 2026-09-08 12:31 – Updated: 2026-09-08 12:31
VLAI
Details
The Online Scheduling and Appointment Booking System – Bookly plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the 'updateAddon' function in all versions up to, and including, 27.2. This makes it possible for authenticated attackers, with Subscriber-level access and above, to update any plugin with a main file of 'main.php' to its latest version.
Severity
5.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-2520"
],
"database_specific": {
"cwe_ids": [
"CWE-862"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-08T12:16:54Z",
"severity": "MODERATE"
},
"details": "The Online Scheduling and Appointment Booking System \u2013 Bookly plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the \u0027updateAddon\u0027 function in all versions up to, and including, 27.2. This makes it possible for authenticated attackers, with Subscriber-level access and above, to update any plugin with a main file of \u0027main.php\u0027 to its latest version.",
"id": "GHSA-pqcg-gw2f-rqp8",
"modified": "2026-09-08T12:31:30Z",
"published": "2026-09-08T12:31:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-2520"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/bookly-responsive-appointment-booking-tool/trunk/lib/PluginsUpdater.php#L10"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/bookly-responsive-appointment-booking-tool/trunk/lib/PluginsUpdater.php#L105"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3504922"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/b7edc69b-363d-49df-b82b-a9ad4fe9224a?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
"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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