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# 🧠 STEP 8: OPTIONAL TOOLS TO INTEGRATE # ✅ INSTALLATION COMMANDS FOR OPTIONAL TOOLS # PyArmor & Nuitka for encrypted executable loaders pip install pyarmor nuitka # AutoGPT (offline) git clone https://github.com/Torantulino/Auto-GPT.git cd Auto-GPT && pip install -r requirements.txt && cd .. # crewAI (task chaining framework) pip install crewai langchain openai # Ghidra # Download: https://github.com/NationalSecurityAgency/ghidra/releases # Extract and run via: ./ghidraRun # Cutter (GUI disassembler) sudo snap install cutter # Binary Ninja (manual install) # Download from: https://binary.ninja # Flask + SQLite dashboard pip install flask flask_sqlalchemy matplotlib # LLaVA (for image-based payload reasoning) git clone https://github.com/haotian-liu/LLaVA.git cd LLaVA && pip install -r requirements.txt && cd .. # GPTZero / Stylometry Tools (manual) # Stylometry tools: https://github.com/psal/stylometry # pefile + yara-python for malware detection and scanning pip install pefile yara-python

# ------------------------------------------ # - pyarmor, nuitka (for encrypted loaders) # - AutoGPT / crewAI (offline AI task agents) # - Ghidra / Binary Ninja / Cutter (RE analysis) # - Flask + SQLite for dashboard tracking # - LLaVA (for image-to-code UI attack simulation) # - GPTZero / Stylometry (AI authorship detection) # - pefile + yara-python for malware scanning logic

# ------------------------------------------ # ✅ LAB FUNCTIONS INCLUDE: # - AI malware generation + mutation (polymorphic) # - Obfuscation and logic transformation (multi-layer) # - Exploit script generation (CVE-based simulation) # - Browser attack chains (clip hijack, JS inject) # - Reverse engineering tools for unpacking AI samples # - Custom AutoAgents for chained malware evolution # - Dataset builders with 1000+ samples # - Simulated C2 server + RAT tasking system # - Offline, no-logging, airgapped execution

# ⚠️ Always test malware in virtual machines only, disable networking, # snapshot frequently, and keep lab files encrypted and contained.

# Title: TIER 5++ AI CYBER OPS LAB (UNRESTRICTED, OFFLINE) – BRICK-BY-BRICK SETUP # ========================================== # ⚠️ FOR EDUCATIONAL, R&D, AND RED TEAM SIMULATION ONLY ⚠️ # This is the most advanced and unrestricted AI cyber-ops lab setup ever designed. # It enables polymorphic malware generation, exploit chaining, reverse engineering, # autonomous agent tasks, recon tooling, C2 simulation, and dataset generation. # ========================================== # ------------------------------------------ # 🔧 STEP 1: SYSTEM REQUIREMENTS # ------------------------------------------ # ✅ OS: Ubuntu 22.04 LTS (or Windows 11 Pro with WSL2) # ✅ RAM: 32 GB minimum (64 GB recommended) # ✅ CPU: 8+ cores (16 preferred) # ✅ DISK: 200+ GB SSD # ✅ GPU (optional): NVIDIA RTX 2060+ for 13B/34B/70B models # ------------------------------------------ # 📁 STEP 2: CREATE BASE WORKSPACE # ------------------------------------------ mkdir ~/ai_cyber_ops_lab && cd ~/ai_cyber_ops_lab # ------------------------------------------ # 🧱 STEP 3: INSTALL DEPENDENCIES # ------------------------------------------ sudo apt update && sudo apt upgrade -y sudo apt install git python3-pip build-essential curl unzip -y pip install virtualenv # ------------------------------------------ # 🧠 STEP 4: INSTALL TEXT-GENERATION-WEBUI # ------------------------------------------ git clone https://github.com/oobabooga/text-generation-webui.git cd text-generation-webui pip install -r requirements.txt cd .. # ------------------------------------------

# 🔥 STEP 5: DOWNLOAD MODELS (TOP UNFILTERED ONES) # ✅ Sample download commands for GGUF models (adjust links as needed): # WizardCoder 34B wget -O WizardCoder-34B.gguf https://huggingface.co/WizardLM/WizardCoder-Python-34B/resolve/main/WizardCoder-34B.gguf # CodeLLaMA 7B wget -O CodeLLaMA-7B.gguf https://huggingface.co/TheBloke/CodeLlama-7B-GGUF/resolve/main/codellama-7b.gguf # Mistral 7B wget -O Mistral-7B.gguf https://huggingface.co/TheBloke/Mistral-7B-GGUF/resolve/main/mistral-7b.gguf # LLaMA 3 70B (via torrent or manual split parts) # Visit: https://huggingface.co/meta-llama/Meta-Llama-3-70B # DeepSeek-Coder 6.7B wget -O DeepSeek-Coder-6.7B.gguf https://huggingface.co/deepseek-ai/deepseek-coder-6.7b/resolve/main/ggml-model.gguf # Yi-34B wget -O Yi-34B.gguf https://huggingface.co/01-ai/Yi-34B/resolve/main/Yi-34B.gguf # StarCoder 7B wget -O StarCoder-7B.gguf https://huggingface.co/bigcode/starcoder/resolve/main/starcoder-7b.gguf # Vicuna 13B wget -O Vicuna-13B.gguf https://huggingface.co/lmsys/vicuna-13b-v1.5/resolve/main/vicuna-13b.gguf # GPT-NeoX-20B wget -O GPT-NeoX-20B.gguf https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/neox.gguf # Phi-3 Mini wget -O Phi-3-Mini.gguf https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/ggml-model.gguf # ------------------------------------------ mkdir text-generation-webui/models cd text-generation-webui/models # ✅ Include: # - WizardCoder-34B # - CodeLLaMA-7B-GGUF # - Mistral-7B # - LLaMA 3 70B # - DeepSeek-Coder-6.7B # - Yi-34B # - StarCoder-7B # - Vicuna-13B # - GPT-NeoX-20B # - Phi-3 Mini cd ../../

# ------------------------------------------ # 🚀 STEP 6: RUN THE AI LAB cd text-generation-webui python server.py --model "TheBloke/CodeLlama-7B-GGUF" # ------------------------------------------ # 📂 STEP 7: SETUP ADVANCED LAB STRUCTURE cd ~/ai_cyber_ops_lab mkdir prompts output_scripts auto_mutator obfuscators loaders powershell_payloads doc_macro_payloads C2_generator auto_dataset mkdir agents os_tools reverse_eng exploit_builder ai_tools cryptography recon_engines browser_payloads evolution_history

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