FKIE_CVE-2026-18441
Vulnerability from fkie_nvd - Published: 2026-09-18 00:16 - Updated: 2026-09-18 00:16
Severity
Summary
The Appointment Booking Plugin – LatePoint | Calendar & Scheduling for WordPress plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 5.6.9 via the set_customer_object due to missing validation on a user controlled key. This makes it possible for unauthenticated attackers to enumerate arbitrary customer records and disclose personally identifiable information - including first name, last name, email address, and phone number - by iterating the customer[id] parameter. This issue is exploitable only when the site is configured with customer authentication disabled (guest checkout enabled).
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Appointment Booking Plugin \u2013 LatePoint | Calendar \u0026 Scheduling for WordPress",
"vendor": "latepoint",
"versions": [
{
"lessThanOrEqual": "5.6.9",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Appointment Booking Plugin \u2013 LatePoint | Calendar \u0026 Scheduling for WordPress plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 5.6.9 via the set_customer_object due to missing validation on a user controlled key. This makes it possible for unauthenticated attackers to enumerate arbitrary customer records and disclose personally identifiable information - including first name, last name, email address, and phone number - by iterating the customer[id] parameter. This issue is exploitable only when the site is configured with customer authentication disabled (guest checkout enabled)."
}
],
"id": "CVE-2026-18441",
"lastModified": "2026-09-18T00:16:57.297",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "security@wordfence.com",
"type": "Primary"
}
]
},
"published": "2026-09-18T00:16:57.297",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/latepoint.php#L1006"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/controllers/steps_controller.php#L341"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/helpers/steps_helper.php#L1184"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/models/model.php#L574"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/d80ed885-43f8-43a4-bc61-e9ef92e3207e?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"source": "security@wordfence.com",
"type": "Primary"
}
]
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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