CVE-2026-18441 (GCVE-0-2026-18441)
Vulnerability from cvelistv5 – Published: 2026-09-17 23:27 – Updated: 2026-09-17 23:27
VLAI
EPSS
VEX
Title
LatePoint - Appointment Booking & Scheduling <= 5.6.9 - Unauthenticated Insecure Direct Object Reference to Sensitive Information Disclosure via 'customer[id]' Parameter
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).
Severity
4.3 (Medium)
CWE
- CWE-639 - Authorization Bypass Through User-Controlled Key
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| latepoint | Appointment Booking Plugin – LatePoint | Calendar & Scheduling for WordPress |
Affected:
0 , ≤ 5.6.9
(semver)
|
guessed |
{
"containers": {
"cna": {
"affected": [
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"product": "Appointment Booking Plugin \u2013 LatePoint | Calendar \u0026 Scheduling for WordPress",
"vendor": "latepoint",
"versions": [
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"lessThanOrEqual": "5.6.9",
"status": "affected",
"version": "0",
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}
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"credits": [
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}
],
"metrics": [
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"cvssV3_1": {
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
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}
],
"problemTypes": [
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"descriptions": [
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"cweId": "CWE-639",
"description": "CWE-639 Authorization Bypass Through User-Controlled Key",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-17T23:27:10.903Z",
"orgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
"shortName": "Wordfence"
},
"references": [
{
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/d80ed885-43f8-43a4-bc61-e9ef92e3207e?source=cve"
},
{
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/helpers/steps_helper.php#L1184"
},
{
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/models/model.php#L574"
},
{
"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/lib/controllers/steps_controller.php#L341"
},
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"url": "https://plugins.trac.wordpress.org/browser/latepoint/tags/5.6.9/latepoint.php#L1006"
}
],
"timeline": [
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"lang": "en",
"time": "2026-06-25T00:00:00.000Z",
"value": "Discovered"
},
{
"lang": "en",
"time": "2026-07-30T21:03:15.000Z",
"value": "Vendor Notified"
},
{
"lang": "en",
"time": "2026-09-17T10:58:18.000Z",
"value": "Disclosed"
}
],
"title": "LatePoint - Appointment Booking \u0026 Scheduling \u003c= 5.6.9 - Unauthenticated Insecure Direct Object Reference to Sensitive Information Disclosure via \u0027customer[id]\u0027 Parameter"
}
},
"cveMetadata": {
"assignerOrgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
"assignerShortName": "Wordfence",
"cveId": "CVE-2026-18441",
"datePublished": "2026-09-17T23:27:10.903Z",
"dateReserved": "2026-07-30T20:33:41.814Z",
"dateUpdated": "2026-09-17T23:27:10.903Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-18441\",\"sourceIdentifier\":\"security@wordfence.com\",\"published\":\"2026-09-18T00:16:57.297\",\"lastModified\":\"2026-09-18T00:16:57.297\",\"vulnStatus\":\"Received\",\"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).\"}],\"affected\":[{\"source\":\"security@wordfence.com\",\"affectedData\":[{\"vendor\":\"latepoint\",\"product\":\"Appointment Booking Plugin \u2013 LatePoint | Calendar \u0026 Scheduling for WordPress\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"0\",\"lessThanOrEqual\":\"5.6.9\",\"versionType\":\"semver\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@wordfence.com\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N\",\"baseScore\":4.3,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.8,\"impactScore\":1.4}]},\"weaknesses\":[{\"source\":\"security@wordfence.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-639\"}]}],\"references\":[{\"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\",\"source\":\"security@wordfence.com\"}]}}"
}
}
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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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