OpenProject is an open-source, web-based project management software. A Local File Read (LFR) vulnerability exists in the work package PDF export functionality of OpenProject prior to version 16.6.4. By uploading a specially crafted SVG file (disguised as a PNG) as a work package attachment, an attacker can exploit the backend image processing engine (ImageMagick). When the work package is exported to PDF, the backend attempts to resize the image, triggering the ImageMagick text: coder. This allows an attacker to read arbitrary local files that the application user has permissions to access (e.g., /etc/passwd, all project configuration files, private project data, etc.). The attack requires permissions to upload attachments to a container that can be exported to PDF, such as a work package. The issue has been patched in version 16.6.4. Those who are unable to upgrade may apply the patch manually.
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
There are many different kinds of mistakes that introduce information exposures. The severity of the error can range widely, depending on the context in which the product operates, the type of sensitive information that is revealed, and the benefits it may provide to an attacker. Some kinds of sensitive information include:
Information might be sensitive to different parties, each of which may have their own expectations for whether the information should be protected. These parties include:
Information exposures can occur in different ways:
It is common practice to describe any loss of confidentiality as an “information exposure,” but this can lead to overuse of CWE-200 in CWE mapping. From the CWE perspective, loss of confidentiality is a technical impact that can arise from dozens of different weaknesses, such as insecure file permissions or out-of-bounds read. CWE-200 and its lower-level descendants are intended to cover the mistakes that occur in behaviors that explicitly manage, store, transfer, or cleanse sensitive information.