Yoshiki Kusama (草間好輝)

@ykus4

Newbie independent security researcher

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Skills
Python Mobile Security Trust & Safety LLM Security Malware Analysis Reverse Engineering Frida Machine Learning Apache Airflow
Tools
🔧 kagura
LLVM pass plugin for native code obfuscation — CFG flattening, string encryption, anti-debug, VM virtualization, and more. Supports iOS & Android.
C++ ★ –
🔧 shirayuki
Runtime memory toolkit for jailbroken iOS — scan, patch, freeze, and pointer scan with in-app overlay GUI.
Objective-C++ ★ –
🔧 shingan
Static analysis tool that visualizes iOS app exposure to reverse engineering.
Python ★ –
🔧 memdroid
ADB-based memory modification tool for rooted Android devices.
Go ★ –
🔧 fuin
Web-based Android APK packer. Encrypts DEX bytecode, native libraries, and assets with AES-256-GCM. Supports Unity, multidex, and standard apps. No source changes required.
Python ★ –
🔧 enma
Frida-based Android Analyzer toolkit.
JavaScript ★ –
🔧 pypproxy
MITM HTTP/HTTPS proxy for inspecting and modifying traffic — GUI/CUI, rule engine, GraphQL support, security tools.
Python ★ –
🔧 aioq
Async job queue for Python — Redis/PostgreSQL/MySQL backends, priority queues, job dependencies, dead letter queues, Prometheus metrics, built-in dashboard.
Python ★ –
Research Papers
📄 Kagura: A Game Anti-Cheat Obfuscation Toolkit for the LLVM New Pass Manager
An open-source LLVM New Pass Manager obfuscation and anti-tamper toolkit for mobile game anti-cheat binaries on iOS and Android. Provides nine composable LLVM passes including control-flow flattening, bogus control flow, instruction substitution, string encryption, constant obfuscation, memory-value obfuscation, indirect branching, and basic-block splitting/reordering. Includes IL2CPP-aware string handling and dual-XOR tamper detection.
2026-05-24 Zenodo
DOI
📄 Logic Privacy for Game Anti-Cheat Systems: Formal Foundations and Homomorphic Evaluation
A framework for hiding anti-cheat detection logic via server-side fully homomorphic encryption (FHE). Clients encrypt game state under a public key; the server evaluates detection functions over ciphertexts, returning only a binary verdict. Proves logic secrecy and soundness under LWE, and proposes a randomized response mechanism against adaptive oracle queries.
2026-05-07 Zenodo
DOI
📄 Fourier-Polynomial Features for Obfuscation-Robust Android Malware Detection
Spectral feature extraction framework for Android malware detection. Extracts normalized power spectra from raw DEX bytecode and compresses them into compact feature vectors via polynomial approximation — robust against graph-preserving obfuscation.
2026-04-20 Zenodo
DOI
Activity
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