CVE-2026-6286 (GCVE-0-2026-6286)
Vulnerability from cvelistv5 – Published: 2026-08-28 06:39 – Updated: 2026-08-28 18:35
VLAI
EPSS
VEX
Title
Booking for Appointments and Events Calendar <= 2.2 - Unauthenticated Stored Cross-Site Scripting via Customer Name Fields in Booking Submission
Summary
The Booking for Appointments and Events Calendar – Amelia plugin for WordPress is vulnerable to Stored Cross-Site Scripting via customer name fields in versions up to and including 2.2. This is due to an authentication bypass where the AddBookingCommand explicitly skips nonce verification (Command.php line 186), allowing unauthenticated users to submit booking data. While the plugin applies sanitize_text_field() to customer firstName and lastName fields (BookingApplicationService.php lines 302-308), this function only removes HTML tags and preserves special characters including double quotes. The vulnerability manifests in the administrative Calendar view where a FullCalendar eventContent callback interpolates customer names directly into JavaScript template literals (redesign/dist/index.js line 199) and renders them via innerHTML without proper HTML entity encoding. Because double quotes are preserved, an attacker can inject payloads like '" onmouseover="alert(document.cookie)"' to break out of the title attribute and inject malicious event handlers. This makes it possible for unauthenticated attackers to inject arbitrary web scripts that will execute when an administrator accesses the Calendar page and hovers over the malicious appointment.
Severity
7.2 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-28 18:17 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
11 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| melograno | Booking for Appointments and Events Calendar – Amelia |
Affected:
0 , ≤ 2.2
(semver)
|
guessed |
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}
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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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