In the world of programming, functionality often takes precedence over security and privacy considerations. However, unintentional information leakage can have significant consequences when viewed from the perspective of hackers and investigators. In this talk, I present practical insights and best coding practices to safeguard privacy and minimize information leakage. We explore real-life examples of information leakage in public code, GitHub repositories, and compiled software using digital forensics. Discover how seemingly insignificant details can unveil a wealth of unintended information, uncovering leaks, scrapes, breaches, and identifying threat actors. We will discuss the integration of open-source intelligence practices to extract valuable insights. Moreover, we will delve into best coding practices and policies prioritizing privacy, empowering programmers to safeguard sensitive data and understand privacy risks in coding.

Let's foster a culture of privacy-aware coding to protect individuals and organizations from potential privacy breaches.