Zion Basque - Founder at Ka Moku Technologies

Zion Basque

Founder at Ka Moku Technologies

Kealakekua, Hawaii, United States

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Summary

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Rockstar

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Top School

Zion Basque is an incoming Assistant Professor at the University of Georgia and a PhD researcher specializing in program and binary analysis with nine years of hands-on experience in decompilation and automated exploitation. He founded Ka Moku Technologies to translate research into practical cybersecurity tooling and currently contributes to the Air Force Research Laboratory while finishing his doctoral work at ASU’s SEFCOM lab. Zion is a prolific open-source contributor, notably improving the angr binary analysis platform and its GUI and adding advanced GDB features to GEF, work that directly impacts reverse engineering tooling used across academia and industry. His background includes fuzzing research at ForAllSecure and applying machine learning to fuzzing and binary exploitation, reflecting a blend of empirical engineering and novel research. Based in Kealakekua, Hawaii, he brings a Pacific Islander perspective to security research and an unusual combination of deep systems skills and user-facing tooling development.

9 years of coding experience

3 years of employment as a software developer

Doctor of Philosophy - PhD, 4.0, Doctor of Philosophy - PhD, 4.0 at Ira A. Fulton Schools of Engineering at Arizona State University

Kamehameha Schools Kapalama Campus

Github Skills (30)

debugging10

debug10

code-generator10

decompiler10

python10

pyside10

linux10

decompilation10

binarydiff10

codegen10

decompile10

gdb10

exploit10

code-generation10

front-end-development10

Programming languages (15)

JavaC++CCMakeScalaTeXGoHTML

Github contributions (5)

angr/angr-management

Jan 2021 - Jan 2023

The official angr GUI.

Role in this project:

Full-stack Developer

Contributions:15 reviews, 50 commits, 67 PRs in 2 years

Contributions summary:Zion primarily contributed to the graphical user interface (GUI) of the angr-management project. They focused on enhancing the decompilation view, including fixing bugs related to tab correspondence between decompiled code and assembly, and implementing features such as function renaming and smart highlighting. Their work also involved modifying core components like the code view, documents, and workspace to support these GUI improvements.

program-analysisangrgui

angr/angr

Mar 2020 - Jan 2023

A powerful and user-friendly binary analysis platform!

Role in this project:

Back-end Developer

Contributions:37 reviews, 194 commits, 143 PRs in 2 years 10 months

Contributions summary:Zion primarily contributed to the development and improvement of the angr binary analysis platform's decompiler. Their commits focused on enhancing the decompiler's capabilities, including the creation of a utility function for AIL supergraph, the conversion of ITE-assignment regions, handling of control flow, and improvements to address correlation for the C code generator. The user also worked on refactoring various modules, fixing bugs, and expanding the decompiler's functionality and output.

pythonbinary-analysisanalysisuser-friendlyangr

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