Alexander Aviles is a cybersecurity researcher specializing in offensive security tooling and post-exploitation framework development. With a B.S. Computer Science (Cybersecurity) from Arizona State University, graduating Summa Cum Laude, Alexander has contributed to cutting-edge research in command and control (C2) frameworks and red team operations. His work includes developing Eshu, a framework for managing compromised systems through live implants, and Ender, a modular exploit engine for cross-platform migrations.
Alexander's research focuses on practical offensive security applications, having achieved First Place in TryHackMe's Sapphire League and ranking in the top 7% of users. His technical expertise spans Python development, Docker containerization, and vulnerability research, with published work on system architecture and operational security methodologies. Alexander is currently pursuing an M.S. Computer Science (Cybersecurity) while simultaneously studying for his Offensive Security OSCP certification. He brings both academic rigor and hands-on experience to the team's research initiatives.
# Posts by Alexander
2026: The Year of the Vibecode
January 20, 2026
An observation of how vibe coding is going to reshape software creation in 2026 and beyond, and how the entire software engineering role will be redefined in the age of AI systems.
Why Tech Giants Stay Tech Giants
September 29, 2025
When an incident strikes, organizations turn to those who know best, those that do it best. This article provides a singular example of how despite any sort of bad press, Tech Giants stay Tech Giants for a reason.
Platform Security's Game of Cat and Mouse
July 27, 2025
A case study on the ToolShell SharePoint exploit chain, exploring how persistent zero-days, patch delays, and organizational gaps turn platform security into an endless pursuit between attacker and defender.
Modernization of Misinformation
July 5, 2025
An analysis of how misinformation spreads in the digital age, examining the recent 16 billion password dataset discovery and how media outlets distorted the facts for sensationalism and clicks.