Razvan Raducu is a malware analyst and cybersecurity researcher with a decade of experience focused on reverse engineering, binary exploitation and behavioral malware analysis. Currently on the MXDR Research team at Group-IB, he dissects samples to improve detection logic and previously completed a PhD track researching evasion techniques and sandbox behavior. A persistent CTF player and content creator (RazviOverflow), he publishes exploit-focused learning materials and builds proof-of-concept tooling rather than offensive attacks. His background spans automated vulnerability detection with AST/CFG tooling, security monitoring stacks, and hands-on incident-style audits at research institutions and supercomputing centers. Based in Zaragoza, Spain, he blends academic rigor with practical threat-hunting skill and a curiosity-driven approach that repeatedly surfaces obscure malware tactics.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science Cybersecurity (malware analysis)., Doctor of Philosophy - PhD Computer Science Cybersecurity (malware analysis). at Universidad de Zaragoza
Doctor of Philosophy - PhD Computer Science Cybersecurity., Doctor of Philosophy - PhD Computer Science Cybersecurity. at Universidad de León
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