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πŸ”’ Offensive Security Researcher and Cyber Threat Intel Analyst πŸ”

🌍 Greetings! I'm Guilherme Nocera, an experienced offensive security researcher and cyber threat intelligence analyst. πŸ›‘οΈ With a passion for safeguarding digital landscapes, I specialize in various areas such as offensive security, ransomware reverse engineering, and information security.

πŸ’Ό Currently, I am actively involved in groundbreaking research and development within the field of offensive security. I constantly explore and uncover vulnerabilities in systems, applications, and networks to enhance the overall security posture of organizations.

πŸ’‘ Sponsoring my research and work is vital for several reasons. Your sponsorship would enable me to invest in cutting-edge tools, technologies, and resources necessary to perform in-depth analyses and stay at the forefront of offensive security. It would also provide the means to attend industry conferences and training programs, fostering continuous growth and knowledge sharing.

🌟 By supporting my endeavors, you contribute to a safer digital ecosystem. Your sponsorship helps combat the ever-present threats that organizations face today, allowing me to share my findings and insights with the cybersecurity community at large. Together, we can create a resilient defense against emerging cyber threats, ensuring a secure online environment for businesses and individuals alike.

πŸ”’ Let's join forces and make a difference in the world of cybersecurity! Your sponsorship is not just an investment in my work but also an investment in the collective security and well-being of our interconnected digital world.

#CyberSecurity #OffensiveSecurity #ThreatIntel #Infosec

Featured work

  1. nocerainfosec/RedTeam

    While some of the scripts may be more general-purpose and can be modified for use in a red teaming situation, others may be more specifically created for red teaming. Warning! Only for educational …

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  2. nocerainfosec/honeypot-domino-genius-pdf

    HoneyPOT que funciona como uma aplicativo de fichas personalizadas do jogo de DominΓ³ em formato PDF.

    Python 1

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