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# Network_Scanner_Low_cost
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+This project automates network discovery, port scanning, target creation, task management, and report generation using OpenVAS and Python scripts. It also includes a web application for visualizing reports and provides instructions for accessing OpenVAS via the web interface and API.
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+---
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+
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+## **Prerequisites**
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+### **1. Install Dependencies**
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+#### **Required Software**
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+- **Nmap**: A network discovery and scanning tool.
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+ ```bash
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+ sudo apt install nmap # For Ubuntu/Debian
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+ brew install nmap # For MacOS
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+ ```
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+- **Docker**: Used to run OpenVAS as a containerized service.
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+ - Install Docker: [Docker Installation Guide](https://docs.docker.com/get-docker/)
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+ - Install Docker Compose:
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+ ```bash
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+ sudo apt install docker-compose # Ubuntu/Debian
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+ brew install docker-compose # MacOS
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+ ```
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+
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+#### **Python Libraries**
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+Install the required Python libraries:
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+```bash
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+pip install pandas dash plotly gvm-tools psutil nmap
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+```
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+
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+---
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+
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+## **Project Setup**
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+
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+### **1. Setup OpenVAS with Docker**
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+1. Navigate to the `docker` directory:
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+ ```bash
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+ cd docker
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+ ```
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+2. Build the OpenVAS Docker container:
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+ ```bash
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+ docker compose build
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+ ```
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+3. Start the OpenVAS container:
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+ ```bash
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+ docker compose up -d
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+ ```
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+4. **Wait 30 minutes** for OpenVAS to complete its database setup and updates.
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+
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+### **Accessing OpenVAS**
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+#### **Web Interface**
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+1. Open a browser and go to `https://localhost:9392` (or replace `localhost` with your server's IP address).
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+2. Log in using the default credentials:
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+ - Username: `admin`
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+ - Password: `admin` (or the password you set during installation).
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+
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+#### **Using the OpenVAS API**
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+1. The OpenVAS API listens on port `9390` (default).
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+2. Use tools like `gvm-cli` or Python's `gvm-tools` library to interact with the API.
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+
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+## **Scripts Workflow**
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+Run the scripts in the following order:
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+
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+### **Step 1: Network Discovery**
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+Run `networkdiscovery.py` to identify active hosts on the network:
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+```bash
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+sudo python networkdiscovery.py
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+```
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+This script:
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+- Uses Nmap to discover active hosts in your local network.
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+- Generates a CSV file named `active_hosts.csv` containing the discovered hosts.
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+
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+---
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+
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+### **Step 2: Port Scanning**
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+Run `portscanner.py` to scan open ports on the discovered hosts:
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+```bash
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+sudo python portscanner.py
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+```
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+This script:
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+- Reads the `active_hosts.csv` file.
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+- Scans the specified ports for each host.
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+- Outputs results in `ports.csv`.
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+
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+---
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+
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+### **Step 3: Create Targets in OpenVAS**
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+Run `createtargets.py` to create OpenVAS targets for each active host:
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+```bash
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+python createtargets.py
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+```
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+This script:
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+- Reads the `active_hosts.csv` file.
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+- Creates targets in OpenVAS for each discovered host.
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+- Outputs target IDs in `target_id.csv`.
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+
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+---
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+
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+### **Step 4: Create Tasks in OpenVAS**
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+Run `taskmaker.py` to create OpenVAS tasks for each target:
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+```bash
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+python taskmaker.py
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+```
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+This script:
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+- Reads `target_id.csv`.
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+- Creates OpenVAS tasks using the "Full and Fast" scan configuration.
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+- Outputs task IDs in `task_id.csv`.
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+
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+---
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+
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+### **Step 5: Start Tasks in OpenVAS**
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+Run `starttask.py` to start all the created OpenVAS tasks:
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+```bash
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+python starttask.py
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+```
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+This script:
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+- Reads `task_id.csv`.
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+- Starts each task in OpenVAS.
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+
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+---
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+
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+### **Step 6: Generate Reports**
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+Run `getreports.py` to check task statuses and generate reports:
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+```bash
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+python getreports.py
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+```
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+This script:
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+- Checks the status of each task in `task_id.csv`.
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+- If a task is completed, generates a CSV report for the task.
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+- Combines all reports into a single consolidated file: `consolidated_reports.csv`.
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+
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+---
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+
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+### **Step 7: Launch the Web Application**
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+Run `webapp.py` to launch the web interface for visualizing reports:
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+```bash
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+python webapp.py
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+```
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+This script:
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+- Starts a Dash web application.
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+- Access the web application at `http://127.0.0.1:8050` or replace `127.0.0.1` with your server's IP address.
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+- Visualize, filter, and analyze vulnerability data interactively.
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+
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+---
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+
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+## **File Outputs**
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+
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+### **Generated Files**
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+1. **`active_hosts.csv`**:
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+ - Hosts discovered by `networkdiscovery.py`.
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+ - Format:
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+ ```csv
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+ IP,Discovery Timestamp
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+ 192.168.0.1,2024-11-20 15:16:09
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+ ```
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+
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+2. **`ports.csv`**:
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+ - Open ports discovered by `portscanner.py`.
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+ - Format:
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+ ```csv
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+ IP,Port,Service
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+ 192.168.0.1,80,HTTP
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+ ```
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+3. **`target_id.csv`**:
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+ - Target IDs created by `createtargets.py`.
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+ - Format:
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+ ```csv
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+ IP,Target ID
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+ 192.168.0.1,abc123
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+ ```
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+
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+4. **`task_id.csv`**:
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+ - Task IDs created by `taskmaker.py`.
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+ - Format:
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+ ```csv
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+ Target ID,Task ID
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+ abc123,task001
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+ ```
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+
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+5. **`task_reports.csv`**:
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+ - Reports generated by `getreports.py`.
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+ - Format:
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+ ```csv
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+ Task ID,Report File
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+ task001,report_task001.csv
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+ ```
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+
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+6. **`consolidated_reports.csv`**:
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+ - Combined report generated by `getreports.py`.
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+ - Format:
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+ ```csv
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+ Task ID,Host,Port,Vulnerability,Severity
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+ task001,192.168.0.1,80,Example Vulnerability,High
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+ ```
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+
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+---
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+
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+## **Usage Notes**
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+- The OpenVAS database setup might take up to **30 minutes** after starting the Docker container.
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+- Ensure `task_id.csv` exists before running `starttask.py`.
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+- The `getreports.py` script might take time to execute, depending on the number of tasks and their completion status.
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+
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+---
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+
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+## **Troubleshooting**
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+
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+### **Docker Issues**
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+- If OpenVAS doesn't start correctly, check Docker logs:
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+ ```bash
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+ docker logs <container_name>
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+ ```
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+
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+### **OpenVAS Login Issues**
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+- Ensure OpenVAS is running and accessible on port `9392`.
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+
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+### **Network Discovery Errors**
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+- Ensure you have the necessary permissions to run Nmap with `sudo`.
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+
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+---
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+
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