CVE-2026-104766 (GCVE-0-2026-104766)
Vulnerability from cvelistv5 – Published: 2026-10-10 05:30 – Updated: 2026-10-11 16:55
VLAI
EPSS
VEX
Title
Appointment Booking Plugin <= 5.7.3 - Authenticated (Custom+) Privilege Escalation to 'settings[default_wp_role_for_customer]' Parameter
Summary
The Appointment Booking Plugin – LatePoint | Calendar & Scheduling for WordPress plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 5.7.3. This is due to the `OsSettingsController::update()` handler iterating over attacker-supplied `settings` parameters without an allowlist of permitted setting names or values, and `OsSettingsHelper::prepare_value()` performing no role allowlist validation before persisting the `default_wp_role_for_customer` setting — a restriction that exists only in the UI dropdown and is never enforced server-side. This makes it possible for authenticated attackers holding a LatePoint role with the `settings__edit` capability (such as an agent or custom role) to overwrite the default WordPress role for new customers with `administrator`, causing any subsequently self-registered LatePoint customer account to be created with full WordPress administrator privileges. Exploitation requires that a WordPress administrator has granted the `settings__edit` capability to a LatePoint agent or custom role, and that a new customer account is registered through LatePoint after the malicious setting change is persisted.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-11 16:38 UTC
CWE
- CWE-269 - Improper Privilege Management
Assigner
References
6 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| latepoint | Appointment Booking Plugin – LatePoint | Calendar & Scheduling for WordPress |
Affected:
0 , ≤ 5.7.3
(semver)
|
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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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