"We swear by the blood of those we lost."
- Malware Analysis – Currently developing proficiency in static and dynamic analysis techniques, focusing on execution flow and OS internals. digital-notes serves as the ongoing research log.
- Offensive Machine Learning – Exploring model weaponization and adversarial evasion. The goal is to understand ML vulnerabilities from an attacker's perspective, not for data science.
- CTF & Reversing – Solving structured challenges to refine exploitation skills and reverse engineering methodologies.
Multithreaded C & OpenSSL Encryption Toolkit
A practical study of parallel processing and memory management through AES-256 implementation.
Encrypted Python C2 Server & Remote Access Tool
Educational simulation platform built to analyze network protocol evasion and remote execution mechanics.
☢️ Atomic Red Team (Contributor)
MITRE ATT&CK Test Library
Active contributor to open-source defense validation and detection engineering tests.
Adversarial Examples & Model Evasion Techniques
Research repository for generating adversarial inputs and exploring model extraction methods.
Distributed systems practice.
Digital notes repository: Mahshid-MSH.github.io