Pablo Guides

# Kali Linux Course #70: Using cloudbrute$ for Cloud Penetration Testing

## Section 1: Installation and Configuration of cloudbrute$ on Kali Linux

### Introduction to cloudbrute$

Before we dive into the installation and usage of cloudbrute$, let’s understand what cloudbrute$ is. Cloudbrute$ is a powerful tool designed for penetration testing of cloud infrastructures. Its primary function is to automate the brute-force attack process against various cloud services' APIs, allowing pentesters to assess the strength of user credentials and configurations in cloud environments.

### Prerequisites

1. **Kali Linux**: Ensure you have the latest version of Kali Linux installed. You can download it from [Kali's official website](https://www.kali.org/downloads/).
2. **Python**: As cloudbrute$ is a Python-based tool, make sure you have Python 3.x installed.

### Installation

1. **Update Your System**: Before installing any new tools, it's recommended to update your system to ensure all packages are up to date.

   sudo apt update && sudo apt upgrade -y

 

2. **Installing Git**: If you do not have Git installed, you can do so with the following command:

   sudo apt install git -y

 

3. **Cloning cloudbrute$ Repository**: You can easily clone the cloudbrute$ repository directly from GitHub.

   git clone https://github.com/your-repo/cloudbrute$

 

Note: Replace `your-repo` with the actual path to the cloudbrute$ repository if it's hosted elsewhere.

4. **Navigating to the Directory**: Change to the directory where cloudbrute$ is located.

   cd cloudbrute$

 

5. **Installing Dependencies**: Ensure all required Python dependencies are installed using pip. If you don’t have pip installed, install it first.

   sudo apt install python3-pip -y

   pip3 install -r requirements.txt

 

### Configuration

After installation, you will want to configure cloudbrute$ to suit your specific needs.

1. **Configuration File**: Locate the configuration file (typically named `config.py` or similar). Open it in your preferred editor.

   nano config.py

 

2. **API Credentials**: Input any API keys or credentials necessary for the cloud services you intend to test against. Some common configurations might include:

– AWS Access Key
– Azure Subscription ID
– GCP Project ID

3. **Brute Force Settings**: Adjust settings such as the wordlist file path, number of threads, and timeout settings, to optimize your attack for performance and efficiency.

### Step-by-Step Usage of cloudbrute$

With cloudbrute$ properly installed and configured, let’s move to its practical usage.

#### Basic Command Structure

To initiate a brute-force attack, the general command structure is:

"`bash
python3 cloudbrute.py -u -w [options]
"`

Here’s a breakdown of the parameters:

– ``: The cloud service you want to test against (e.g., aws, azure).
– `-u `: The username you wish to target.
– `-w `: The path to your wordlist file containing potential passwords.
– `[options]`: Additional flags for specific functionalities (e.g., `–threads`, `–timeout`).

#### Real-World Use Cases

1. **Brute-Forcing AWS IAM Accounts**:

Suppose you are tasked with testing the security posture of an AWS account. You can execute a command similar to the following:

   python3 cloudbrute.py aws -u testuser -w /path/to/your/wordlist.txt –threads 10

 

This command will attempt to authenticate `testuser` against AWS using the passwords listed in the wordlist, using 10 threads to speed up the process.

2. **Testing Azure Credentials**:

For Azure, the command would look somewhat similar:

   python3 cloudbrute.py azure -u azureuser -w /path/to/your/wordlist.txt

 

Here, you can add additional parameters such as `–timeout` to avoid being locked out due to too many login attempts.

3. **Assessing GCP Accounts**:

When targeting Google Cloud Platform accounts, you may use:

   python3 cloudbrute.py gcp -u gcpuser -w /path/to/your/wordlist.txt –threads 5

 

### Detailed Technical Explanations

– **Threading**: The `–threads` option controls how many concurrent requests are made. Increasing the number of threads can improve speed but can also increase the risk of account lockouts and being throttled by the cloud provider.

– **Timeouts**: Use the `–timeout` option to define how long cloudbrute$ should wait for a response before giving up. Adjust this based on the performance of the cloud service being tested.

– **Wordlists**: The efficiency of brute-force attacks heavily relies on the quality of the wordlist. Use extensive and well-researched lists like those from [SecLists](https://github.com/danielmiessler/SecLists) or create custom ones based on known user behaviors.

### External Resources for Further Learning

– [OWASP Cloud-Native Application Security Top 10](https://owasp.org/www-project-top-ten/)
– [Kali Linux Documentation](https://www.kali.org/docs/)
– [Pentesting AWS: A Practical Guide](https://www.amazon.com/Pentesting-AWS-Practical-Guide-Application/dp/1789613898)
– [Understanding Azure Security](https://docs.microsoft.com/en-us/azure/security/)

"`markdown
# Example of a basic command to run cloudbrute$ against AWS:

"`bash
python3 cloudbrute.py aws -u -w /path/to/your/passwords.txt –threads 5
"`
"`

"`markdown
# Example configuration for cloudbrute$

"`python
# config.py
AWS_ACCESS_KEY = 'your_access_key'
AWS_SECRET_KEY = 'your_secret_key'
WORDLIST_PATH = '/path/to/your/wordlist.txt'
THREAD_COUNT = 10
TIMEOUT = 30
"`
"`

In conclusion, cloudbrute$ is an essential tool for modern penetration testers looking to secure cloud infrastructures against unauthorized access attempts. Make sure to use this tool ethically and always have permission when conducting penetration tests.

—

Made by pablo rotem / פבלו רותם