Python is widely used in cyber security because of its simplicity, readability, and extensive ecosystem, allowing developers and security professionals to automate tasks, analyze threats, and build secure systems efficiently. The object oriented approach in Python plays a crucial role in structuring complex security applications by organizing code into reusable and manageable components. Object oriented programming focuses on concepts such as encapsulation, inheritance, abstraction, and polymorphism, which allow developers to design systems that are modular and scalable. In cyber security, these principles help in modeling real world entities such as users, threats, firewalls, and network packets as objects with properties and behaviors. Encapsulation ensures that sensitive data within security tools remains protected by restricting direct access, while abstraction allows developers to hide complex implementation details and present only necessary interfaces. Inheritance enables the creation of specialized security tools from general base classes, for example extending a generic scanner into vulnerability scanners or malware analyzers. Polymorphism allows different security components to respond differently to similar inputs, which is useful when designing flexible intrusion detection or response mechanisms. Classes and methods form the backbone of object oriented design in Python. A class