Welcome! This is a curated summary of my public GitHub repositories, organized by focus area. My work spans malware analysis, threat intelligence, digital forensics, AI in cybersecurity, and hands-on tooling.
π¬ Reverse engineering, behavior mapping, and threat tracking across prominent malware families:
-
π TrickBot-Analysis
Comprehensive research on TrickBotβs evolution from banking trojan to ransomware enabler. Includes ATT&CK mapping and reverse engineering. -
π‘οΈ LokiBot-Malware-Analysis
Static and behavioral analysis using FlareVM, REMnux, VirusTotal, and Hybrid Analysis. -
𧬠Static-Malware-Analysis
Labs on Emotet and keyloggers using VirusTotal, PEStudio, and MITRE ATT&CK. -
π Malware-Network-Analysis
PCAP-based CryptoLocker and Word-Dropper analysis. Focus on HTTP/DNS/TLS artifacts. -
π£ Malware-Classification-Qilin
Comparative malware analysis with Qilin ransomware case study. -
π§ Conti-Leak-Analysis
Threat actor profiling from leaked chat logs, C2 infrastructure, and playbook breakdown.
π§Ύ Forensic reports and breach simulations with focus on evidence recovery and response:
-
π§° Digital-Forensics-Labwork
Linux forensics with SleuthKit, E3, Auditd, cron logs, and artifact reconstruction. -
π¨ Cyber-Incident-Alert-Breach
Simulated university alert system breach: walkthrough of attacker actions and defensive response.
π€ Research and tool development at the intersection of artificial intelligence and infosec:
-
π§΅ AI-Cybersecurity-Research
NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, and ethical AI implications. -
ποΈ ResearchAI
NLP-powered tool for querying PDFs, Word docs, spreadsheets, and URLs with Gemini API.
π Framework-based strategies for identifying and mitigating cyber risk:
- π οΈ Cyber-Risk-Management-Plan
NIST 800-53 based risk identification, controls mapping, and mitigation planning.
π§ Custom-built Python tools for network testing and security operations:
- π§ͺ SimplePort
TCP port scanner with real-time output, timestamped logs, and customizable scanning range.
π Educational background and coursework in Cyber Operations:
- π course-highlights
Summary of B.S. in Cybersecurity (Utica University). Topics: AI, malware, OSINT, Python.
π Personal references, favorite links, and portfolio root files:
-
π§ QuickResources
Continuously evolving index of cybersecurity tools and learning resources. -
π README
Overview README linking to the rest of this portfolio.
π« LinkedIn
πΊ YouTube
π§ Back to Profile README β
Β© 2025 Michael Twining