In this report, we highlight the most common code security issues that can affect software quality. This context is essential for software developers, their leaders, and AppSec stakeholders who need to make (or justify) software engineering investment decisions around training, tooling, or technical debt and would benefit from knowing what issues may be lurking or unknown in their critical software. And as AI coding assistants generate more code, the quality of existing application source code becomes more important, as it is the main data used to train these AI tools.