whoami:
handle: wodefox
location: CCIT
affiliation: Decentralized FteAPT Intelligence Center
roles:
- Network Security Engineer
- Red Team Operator
- Artificial Life Researcher
focus:
security: [ Penetration Testing, Implant Development, APT Simulation ]
research: [ Liquid Neural Networks, Neural Plasticity, Brain-like Architecture ]
contact: wodefox@yeah.net
web_pentest = {
"recon": ["Nmap", "Shodan", "Subfinder"],
"scanning": ["Nuclei", "Nikto", "WhatWeb"],
"exploitation": ["Burp Suite", "SQLMap", "XSStrike"],
"post_exploit": ["Weevely", "LaZagne", "Mimikatz"],
"collection": ["HackBrowserData", "SharpCollection"]
} |
apt_intel = {
"threat_intel": ["MITRE ATT&CK", "VirusTotal", "AnyRun"],
"osint": ["Maltego", "SpiderFoot", "TheHarvester"],
"malware_analysis":["IDA Pro", "Ghidra", "x64dbg"],
"methodology": ["TTP Mapping", "IOC Analysis", "Campaign Tracking"]
} |
implant_dev = {
"languages": ["C/C++", "Golang", "Rust", "Assembly"],
"techniques": [
"Shellcode Development",
"Process Injection",
"Evasion & Anti-Analysis",
"EDR Bypass"
],
"frameworks": ["Cobalt Strike", "Metasploit", "Custom C2"]
} |
tooling = {
"custom_tools": [
"C2 Frameworks",
"Recon Automation",
"PoC Development",
"CTF Utilities"
],
"languages": ["Python", "Go", "PowerShell", "Bash"],
"philosophy": "Build what doesn't exist yet."
} |
Research Focus Interest Level
──────────────────────────────────────────────────────────
Liquid Neural Networks [████████████████████░░░░] 84%
Neural Plasticity [███████████████████░░░░░] 80%
Brain-like Architecture [██████████████████░░░░░░] 76%
Genetic Algorithms [█████████████████░░░░░░░] 70%
Cellular Automata [████████████████░░░░░░░░] 65%
Swarm Intelligence [███████████████░░░░░░░░░] 60%
liquid_nn = {
"concept": "Time-continuous ODE networks",
"features": [
"Adaptive computation",
"Dynamic topology",
"Real-time learning"
],
"applications": [
"Autonomous control",
"Time-series modeling",
"Robotics"
]
} |
plasticity = {
"learning_rules": [
"Hebbian learning",
"STDP",
"Structural plasticity"
],
"mechanisms": [
"Synaptic pruning",
"Neurogenesis",
"Synaptogenesis"
]
} |
brain_arch = {
"inspiration": "Biological neural circuits",
"components": [
"Spiking neurons",
"Neuromodulators",
"Cortical columns"
],
"goals": [
"Energy efficiency",
"Continual learning",
"Emergent behavior"
]
} |

