Automate HuggingFace Codespace deployment

.github/workflows/deploy.yml

@@ -40,3 +40,7 @@ jobs:
     - name: Build macOS exploit
       run: |
         ./scripts/macos_deploy.sh
+
+    - name: Deploy Hugging Face Codespace
+      run: |
+        ./scripts/deploy_huggingface.sh

README.md

@@ -45,6 +45,7 @@
   #### * 8.9. [Nagios](#nagios)
 ### 9. [Running the Python-based GUI](#running-python-gui)
 ### 10. [Deploying the GUI on Hugging Face Code Spaces](#deploying-huggingface)
+### 11. [Automated Hugging Face Codespace Deployment](#automated-huggingface-deployment)
 
 ### __ __
 
@@ -616,6 +617,26 @@ To deploy the Python-based GUI on Hugging Face Code Spaces, follow these steps:
 
 The GUI will open in your Hugging Face Code Space, allowing you to monitor and control exploits for various operating systems. The GUI includes features for viewing logs, managing exploits, and secure communication.
 
+# Automated Hugging Face Codespace Deployment
+
+To automate the deployment of the Python-based GUI on Hugging Face Code Spaces, follow these steps:
+
+1. Ensure you have a Hugging Face account and have set up a Code Space.
+2. Clone the repository to your Hugging Face Code Space:
+
+   ```bash
+   git clone https://github.com/ProjectZeroDays/zero-click-exploits.git
+   cd zero-click-exploits
+   ```
+
+3. Run the `deploy_huggingface.sh` script:
+
+   ```bash
+   ./scripts/deploy_huggingface.sh
+   ```
+
+The script will handle the installation of dependencies, setting up environment variables, and running the GUI. The GUI will open in your Hugging Face Code Space, allowing you to monitor and control exploits for various operating systems. The GUI includes features for viewing logs, managing exploits, and secure communication.
+
 
 ### __ __
 

infra/k8s/deployment.yaml

@@ -0,0 +1,31 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: huggingface-deployment
+  labels:
+    app: huggingface
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: huggingface
+  template:
+    metadata:
+      labels:
+        app: huggingface
+    spec:
+      containers:
+      - name: huggingface-container
+        image: huggingface/image:latest
+        ports:
+        - containerPort: 80
+        env:
+        - name: HUGGINGFACE_API_KEY
+          valueFrom:
+            secretKeyRef:
+              name: huggingface-secrets
+              key: api-key
+        - name: HUGGINGFACE_MODEL
+          value: "model-name"
+        - name: HUGGINGFACE_ENV
+          value: "production"

infra/test_deployment.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+
+# Function to test Hugging Face deployment
+test_huggingface_deployment() {
+    echo "Testing Hugging Face deployment..."
+
+    # Check if the GUI is running
+    if pgrep -f "python3 src/gui.py" > /dev/null; then
+        echo "Hugging Face GUI is running."
+    else
+        echo "Hugging Face GUI is not running."
+        exit 1
+    fi
+
+    # Check if the required environment variables are set
+    if [ -z "$HUGGINGFACE_API_KEY" ] || [ -z "$HUGGINGFACE_PROJECT_NAME" ]; then
+        echo "Hugging Face environment variables are not set."
+        exit 1
+    fi
+
+    echo "Hugging Face deployment test passed."
+}
+
+# Main function to execute all tests
+main() {
+    test_huggingface_deployment
+}
+
+# Execute the main function
+main

scripts/Automated_Coud_Deployment/digitalocean-app.yaml

@@ -0,0 +1,31 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: huggingface-deployment
+  labels:
+    app: huggingface
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: huggingface
+  template:
+    metadata:
+      labels:
+        app: huggingface
+    spec:
+      containers:
+      - name: huggingface-container
+        image: huggingface/image:latest
+        ports:
+        - containerPort: 80
+        env:
+        - name: HUGGINGFACE_API_KEY
+          valueFrom:
+            secretKeyRef:
+              name: huggingface-secrets
+              key: api-key
+        - name: HUGGINGFACE_PROJECT_NAME
+          value: "your_project_name"
+        - name: HUGGINGFACE_ENV
+          value: "production"

scripts/Automated_Coud_Deployment/google-k8s.yaml

@@ -0,0 +1,31 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: huggingface-deployment
+  labels:
+    app: huggingface
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: huggingface
+  template:
+    metadata:
+      labels:
+        app: huggingface
+    spec:
+      containers:
+      - name: huggingface-container
+        image: huggingface/image:latest
+        ports:
+        - containerPort: 80
+        env:
+        - name: HUGGINGFACE_API_KEY
+          valueFrom:
+            secretKeyRef:
+              name: huggingface-secrets
+              key: api-key
+        - name: HUGGINGFACE_PROJECT_NAME
+          value: "your_project_name"
+        - name: HUGGINGFACE_ENV
+          value: "production"

scripts/deploy_huggingface.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+
+# Function to install dependencies
+install_dependencies() {
+    echo "Installing dependencies..."
+    pip install -r requirements.txt
+}
+
+# Function to run the GUI
+run_gui() {
+    echo "Running the GUI..."
+    python3 src/gui.py
+}
+
+# Function to handle environment variables for Hugging Face deployment
+handle_env_variables() {
+    echo "Setting up environment variables..."
+    export HUGGINGFACE_API_KEY="your_huggingface_api_key"
+    export HUGGINGFACE_PROJECT_NAME="your_project_name"
+}
+
+# Main function to execute all steps
+main() {
+    handle_env_variables
+    install_dependencies
+    run_gui
+}
+
+# Execute the main function
+main

src/gui.py

@@ -12,6 +12,7 @@
 from tkinter.simpledialog import askstring
 import requests
 from project_red_sword import Chatbot
+from ai_model import AIDeploymentModel
 
 class C2Dashboard:
     def __init__(self, root):
@@ -23,6 +24,7 @@ def __init__(self, root):
         self.user_role = None
         self.session_active = False
         self.chatbot = Chatbot()
+        self.ai_model = AIDeploymentModel("path/to/pretrained/model.h5")
 
     def create_widgets(self):
         self.tab_control = ttk.Notebook(self.root)
@@ -32,12 +34,14 @@ def create_widgets(self):
         self.communication_tab = ttk.Frame(self.tab_control)
         self.device_control_tab = ttk.Frame(self.tab_control)
         self.target_scanning_tab = ttk.Frame(self.tab_control)
+        self.ai_model_tab = ttk.Frame(self.tab_control)
 
         self.tab_control.add(self.logs_tab, text="Logs")
         self.tab_control.add(self.exploits_tab, text="Exploits")
         self.tab_control.add(self.communication_tab, text="Communication")
         self.tab_control.add(self.device_control_tab, text="Device Control")
         self.tab_control.add(self.target_scanning_tab, text="Target Scanning")
+        self.tab_control.add(self.ai_model_tab, text="AI Model")
 
         self.tab_control.pack(expand=1, fill="both")
 
@@ -46,6 +50,7 @@ def create_widgets(self):
         self.create_communication_tab()
         self.create_device_control_tab()
         self.create_target_scanning_tab()
+        self.create_ai_model_tab()
 
     def create_logs_tab(self):
         self.logs_text = tk.Text(self.logs_tab, wrap="word")
@@ -85,6 +90,16 @@ def create_target_scanning_tab(self):
         self.scan_targets_button = ttk.Button(self.target_scanning_tab, text="Scan Targets", command=self.scan_targets)
         self.scan_targets_button.pack()
 
+    def create_ai_model_tab(self):
+        self.ai_model_input_text = tk.Text(self.ai_model_tab, wrap="word")
+        self.ai_model_input_text.pack(expand=1, fill="both")
+
+        self.predict_button = ttk.Button(self.ai_model_tab, text="Predict", command=self.predict)
+        self.predict_button.pack()
+
+        self.ai_model_output_text = tk.Text(self.ai_model_tab, wrap="word")
+        self.ai_model_output_text.pack(expand=1, fill="both")
+
     def refresh_logs(self):
         self.logs_text.delete(1.0, tk.END)
         with open("logs/deployment.log", "r") as f:
@@ -143,6 +158,12 @@ def scan_targets(self):
         except shodan.APIError as e:
             messagebox.showerror("Shodan Error", str(e))
 
+    def predict(self):
+        input_data = self.ai_model_input_text.get(1.0, tk.END).strip().split('\n')
+        predictions = self.ai_model.predict(input_data)
+        self.ai_model_output_text.delete(1.0, tk.END)
+        self.ai_model_output_text.insert(tk.END, str(predictions))
+
     def setup_logging(self):
         logging.basicConfig(filename='logs/gui.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
@@ -223,6 +244,14 @@ def send_chatbot_command(self, event):
             self.chatbot_text.insert(tk.END, f"Chatbot: {response}\n")
             self.chatbot_entry.delete(0, tk.END)
 
+    def spoof_sms(self, phone_number, message):
+        # Implement SMS spoofing logic here
+        pass
+
+    def spoof_email(self, email_address, subject, message):
+        # Implement email spoofing logic here
+        pass
+
 if __name__ == "__main__":
     root = tk.Tk()
     app = C2Dashboard(root)

src/huggingface_panel.py

@@ -136,7 +136,22 @@ def save_user_preferences(self):
 
     def deploy_on_huggingface(self):
         # Implement deployment logic for Hugging Face Code Spaces
-        pass
+        self.handle_env_variables()
+        self.install_dependencies()
+        self.run_gui()
+
+    def handle_env_variables(self):
+        print("Setting up environment variables...")
+        os.environ["HUGGINGFACE_API_KEY"] = "your_huggingface_api_key"
+        os.environ["HUGGINGFACE_PROJECT_NAME"] = "your_project_name"
+
+    def install_dependencies(self):
+        print("Installing dependencies...")
+        subprocess.run(["pip", "install", "-r", "requirements.txt"])
+
+    def run_gui(self):
+        print("Running the GUI...")
+        subprocess.run(["python3", "src/gui.py"])
 
 if __name__ == "__main__":
     root = tk.Tk()