OpenReception Appointment Booking up to 1.0.5 StaffService.deleteStaffMember privileges management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.7 | $0-$5k | 1.05 |
Summary
A vulnerability classified as problematic has been found in OpenReception Appointment Booking up to 1.0.5. This issue affects the function StaffService.deleteStaffMember. The manipulation leads to privileges management.
This vulnerability is traded as CVE-2026-48074. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in OpenReception Appointment Booking up to 1.0.5. It has been rated as problematic. This issue affects the function StaffService.deleteStaffMember. The manipulation with an unknown input leads to a privileges management vulnerability. Using CWE to declare the problem leads to CWE-269. The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor. Impacted is integrity, and availability. The summary by CVE is:
OpenReception's appointment booking software provides an end-to-end encrypted appointment booking platform. Prior to version 1.0.6, when a TENANT_ADMIN deletes an existing staff user, the underlying `StaffService.deleteStaffMember()` runs an additional invite cleanup that deletes from the central `user_invite` table by email. The `email` clause has no `tenantId` predicate. Any pending invite in any tenant that shares the deleted staff's email is removed. A TENANT_ADMIN of tenant A who deletes a staff record with email `victim[@]example[.]com` also deletes the pending invite for `victim[@]example[.]com` in tenant B, even though they have no relationship to tenant B. The user-side delete is correctly scoped (`eq(user.id, staffId), eq(user.tenantId, tenantId)`), and the pending-invite-only delete path (when `staffId` is itself an invite ID) is also tenant-scoped. The bug is specifically in the invite cleanup that runs as a side effect of deleting an existing staff user. Version 1.0.6 patches the issue.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-48074 since 05/20/2026. The exploitation is known to be easy. The attack may be initiated remotely. Additional levels of successful authentication are needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.
Upgrading to version 1.0.6 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.8VulDB Meta Temp Score: 3.7
VulDB Base Score: 3.8
VulDB Temp Score: 3.7
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Privileges managementCWE: CWE-269 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Appointment Booking 1.0.6
Timeline
05/20/2026 CVE reserved08/07/2026 Advisory disclosed
08/07/2026 VulDB entry created
08/07/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-48074 (🔒)
GCVE (CVE): GCVE-0-2026-48074
GCVE (VulDB): GCVE-100-386819
Entry
Created: 08/07/2026 02:06Changes: 08/07/2026 02:06 (56)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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