Black Hat Hacking with C++ is a practical, no-nonsense guide for cybersecurity professionals, red team operators, malware developers, and advanced C++ programmers who want to unlock the offensive capabilities of one of the world's most powerful programming languages. This book doesn't just explain how malware works - it shows you how to build it step by step using C++, the language still trusted by nation-state attackers, APTs, and low-level exploit developers.
From buffer overflows and shellcode execution to building modular malware, writing custom C2 agents, and developing stealthy persistence mechanisms, Black Hat Hacking with C++ takes you deep into the offensive side of system-level programming. You'll learn how attackers think and how modern payloads are engineered, tested, and deployed - all from a red teamer's perspective.
This book walks you through the mechanics of stack-based exploitation, ROP chains, DLL injection, reflective loading, AV/EDR evasion, and fileless execution using living-off-the-land binaries. You'll also learn how to interface with frameworks like Metasploit and Cobalt Strike, how to craft hybrid payloads using PowerShell or Python, and how to build your own loaders, stagers, and RATs from scratch - all in C++.
But this isn't just a hacker's how-to. Black Hat Hacking with C++ is grounded in responsible practice. It dedicates an entire chapter to ethical considerations, legal boundaries, safe testing environments, and responsible disclosure protocols - because skill must always be matched with accountability.
Whether you're an advanced C++ developer breaking into security, or a red teamer looking to deepen your offensive tooling capabilities, this book gives you the technical depth, practical knowledge, and code-level clarity to build real-world offensive software with confidence.
Take the offensive edge with C++. Learn how real attackers write code - and how you can use that knowledge to defend, test, or attack with precision. Grab your copy now and sharpen your skills where it matters most - at the binary level.