pimcore/customer-data-framework

The Customer Management Framework (CMF) for Pimcore adds functionality for customer data management, segmentation, personalization and marketing automation. An authenticated and unauthorized user can access the list of potential duplicate users and see their data. Permissions are enforced when reaching the `/admin/customermanagementframework/duplicates/list` endpoint allowing an authenticated user without the permissions to access the endpoint and query the data available there. Unauthorized user(s) can access PII data from customers. This vulnerability has been patched in version 4.0.6.

pimcore/customer-data-framework is the Customer Management Framework for management of customer data within Pimcore. An authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. Permissions are not enforced when reaching the `/admin/customermanagementframework/gdpr-data/search-data-objects` endpoint allowing an authenticated user without the permissions to access the endpoint and query the data available there. An unauthorized user can access PII data from customers. This vulnerability has been patched in version 4.0.6.

Customer-data-framework allows management of customer data within Pimcore. There are no tokens or headers to prevent CSRF attacks from occurring, therefore an attacker could abuse this vulnerability to create new customers. This issue has been patched in version 4.0.5.

Cross-site Scripting (XSS) - Stored in GitHub repository pimcore/customer-data-framework prior to 3.4.2.

Improper Authorization in GitHub repository pimcore/customer-data-framework prior to 3.4.1.

Storing Passwords in a Recoverable Format in GitHub repository pimcore/customer-data-framework prior to 3.3.10.

SQL Injection in GitHub repository pimcore/customer-data-framework prior to 3.3.10.

The Customer Management Framework (CMF) for Pimcore adds functionality for customer data management. In `pimcore/customer-management-framework-bundle` prior to version 3.3.9, business logic errors are possible in the `Conditions` tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. Users should update to version 3.3.9 to receive a patch or, as a workaround, or apply the patch manually.

Improper Neutralization of Formula Elements in a CSV File in GitHub repository pimcore/customer-data-framework prior to 3.3.9.