Unlock the full potential of your Python code by diving into Python C extensions, boosting performance for critical tasks with practical examples tailored for pen testers and red teams.
Learn how to write concurrent and parallel programs in Rust, explore advanced concurrency techniques, and discover how Rust can be used in pen testing and red teaming scenarios. Compare Rust with other languages commonly used in the security field.
Dive into the transformative 1980s, where Object-Oriented Programming and the creation of C++ revolutionized computing, laying the foundations for modern software development and cybersecurity.
This article explores the use of JavaScript and Socket.io for building real-time applications, with a focus on techniques and examples relevant to penetration testing and red teaming, while highlighting the pros and cons of using JavaScript in these scenarios.
Explore advanced Python debugging: profile code with cProfile, measure time using timeit, identify memory leaks, and optimize scripts for red team ops.
Mastering advanced Rails routing and its cybersecurity implications equips us to unearth potential vulnerabilities, enhancing web application security
Dive into Python’s data science libraries like NumPy, Pandas, Matplotlib, Seaborn & Scikit-Learn, exploring their use in penetration testing and hacking.
Explore Rust’s advanced memory management, lifetimes, borrowing, custom allocators, and techniques for red teamers/pen testers.
This article delves into advanced JavaScript DOM manipulation techniques for red teams and pen testers, covering various methods of accessing, modifying, and traversing the DOM, along with real-world examples demonstrating their applications in hacking scenarios.
This article explores advanced object-oriented programming concepts in Python, such as decorators, inheritance, abstract base classes, composition, aggregation, and properties, along with practical code examples tailored for pen testers and red teamers to create robust and flexible software.