FKIE_CVE-2026-11446
Vulnerability from fkie_nvd - Published: 2026-09-11 04:17 - Updated: 2026-09-11 17:17
Severity
Summary
The Booktics – Booking Calendar for Appointments and Service Businesses plugin for WordPress is vulnerable to unauthorized modification of data in all versions up to, and including, 1.0.23. This is due to the create_order_permission() permission callback on the POST /wp-json/booktics/v1/orders REST route unconditionally returning true, combined with find_and_update_guest() overwriting an existing customer record's stored name, phone, and wp_user_id whenever the caller-supplied email matches, with no proof of ownership. This makes it possible for unauthenticated attackers to overwrite the contact details (name and phone) of any existing customer whose email address they know, poisoning downstream reminder emails, SMS, calendar invites, and CRM data.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Booktics \u2013 Appointment Booking Calendar for Service Businesses",
"vendor": "arraytics",
"versions": [
{
"lessThanOrEqual": "1.0.23",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Booktics \u2013 Booking Calendar for Appointments and Service Businesses plugin for WordPress is vulnerable to unauthorized modification of data in all versions up to, and including, 1.0.23. This is due to the create_order_permission() permission callback on the POST /wp-json/booktics/v1/orders REST route unconditionally returning true, combined with find_and_update_guest() overwriting an existing customer record\u0027s stored name, phone, and wp_user_id whenever the caller-supplied email matches, with no proof of ownership. This makes it possible for unauthenticated attackers to overwrite the contact details (name and phone) of any existing customer whose email address they know, poisoning downstream reminder emails, SMS, calendar invites, and CRM data."
}
],
"id": "CVE-2026-11446",
"lastModified": "2026-09-11T17:17:07.800",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-11446",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-11T16:35:24.063578Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-11T04:17:17.197",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/booktics/tags/1.0.18/core/order/controllers/order-controller.php#L172"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/booktics/tags/1.0.18/core/order/controllers/order-controller.php#L863"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/booktics/tags/1.0.21/core/order/controllers/order-controller.php#L172"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/booktics/tags/1.0.21/core/order/controllers/order-controller.php#L885"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/c86956bf-b013-4a84-b77e-8b1007238b27?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
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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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