Conor Richard
Indianapolis, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolConor Richard is an information security professional with nine years of hands-on experience running adversary simulation programs for major healthcare and insurance organizations. He has progressed from infrastructure and Exchange administration into red-team operations, earning an OSCP while leading simulated adversarial activities to improve detection and response. Conor combines deep practical skills—PowerShell, C#, Linux/Windows administration, VMware, and networking—with low-level assembly tinkering demonstrated by contributions to SysWhispers2 for AV/EDR evasion. Based in Indianapolis, he is completing a BS in CIT (Networking) at Purdue and is actively learning lower-level languages to advance security research and exploit development. Known for translating operational knowledge into tooling and content, he has a track record of automating complex migrations and building repeatable incident simulation capabilities. His background blending help-desk mentorship, infrastructure ownership, and offensive engineering gives him a pragmatic edge in finding and fixing real-world security gaps.
9 years of coding experience
4 years of employment as a software developer
Associates of Arts: Multimedia, Art, 3D Animation, Programming, Associates of Arts: Multimedia, Art, 3D Animation, Programming at University of Advancing TechnologyBS, CIT: Networking, BS, CIT: Networking at IUPUI
Github Skills (6)
nasm10
assembly10
x86-6410
assembler10
x8610
code-optimization9
Programming languages (8)
Github contributions (5)
jthuraisamy/SysWhispers2
Mar 2022 - Sep 2022
AV/EDR evasion via direct system calls.
Role in this project:
Security Engineer
Security EngineerContributions:9 commits, 6 PRs, 6 comments in 5 months
Contributions summary:Conor primarily focused on modifying and refactoring assembly code, specifically for x86 and x64 architectures, as well as integrating different assembly languages like GAS and NASM. The contributions include adding inline and PICMODE functionalities, suggesting a focus on code optimization and potential anti-detection techniques. Further modifications to the random assembly stubs and core variables like {globalFunctions} indicate improvements in the framework.
system-calls
xenoscr/shellcode-learning
Oct 2018 - Jul 2021
Contributions:20 commits, 12 pushes in 2 years 9 months
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