Pros of SprayingToolkit

• Supports multiple protocols and services (Office 365, OWA, Lync/Skype, ADFS)
• Includes additional features like username enumeration and MFA detection
• Offers more customization options and flexibility

Cons of SprayingToolkit

• More complex setup and usage compared to MSOLSpray
• Requires additional dependencies and libraries
• May have a steeper learning curve for beginners

Code Comparison

MSOLSpray:

$UserList = Get-Content ".\userlist.txt"
$Password = "Winter2020!"
Invoke-MSOLSpray -UserList $UserList -Password $Password

SprayingToolkit:

from core import cli
from core.utils import parse_targets

args = cli.parse_arguments()
targets = parse_targets(args)
sprayer = cli.pick_sprayer(args)
sprayer.spray(targets, args)

The code comparison shows that MSOLSpray is more straightforward and easier to use, while SprayingToolkit offers more flexibility and options but requires more setup and configuration.

Pros of CredMaster

• Supports multiple authentication protocols (OAuth, ADFS, etc.) beyond just MSOL
• Includes built-in proxy support for enhanced anonymity
• Offers more customizable options for rate limiting and jitter

Cons of CredMaster

• More complex setup and configuration required
• Potentially slower execution due to additional features and options
• Less focused on specifically targeting Microsoft Online accounts

Code Comparison

MSOLSpray:

$UserAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36"
$Uri = "https://login.microsoftonline.com/common/oauth2/token"

CredMaster:

def get_random_useragent():
    user_agents = [
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:89.0) Gecko/20100101 Firefox/89.0",
        # ... more user agents
    ]
    return random.choice(user_agents)

The code comparison shows that CredMaster uses a more dynamic approach to user agent selection, potentially improving evasion capabilities. MSOLSpray uses a fixed user agent string, which may be easier to detect.

Pros of FireProx

• Provides a dynamic IP rotation mechanism, enhancing anonymity
• Utilizes AWS API Gateway for proxy creation, offering scalability
• Supports various HTTP methods (GET, POST, PUT, etc.)

Cons of FireProx

• Requires AWS account and configuration
• May incur costs associated with AWS usage
• More complex setup compared to MSOLSpray

Code Comparison

FireProx:

def create_api(self, name, target):
    response = self.client.create_rest_api(
        name=name,
        description='FireProx API'
    )
    api_id = response['id']
    # ... (additional configuration code)

MSOLSpray:

function Invoke-MSOLSpray {
    param(
        [Parameter(Mandatory=$true)]
        [string]$UserList,
        [Parameter(Mandatory=$true)]
        [string]$Password
    )
    # ... (password spraying logic)
}

Key Differences

• FireProx focuses on creating dynamic proxies for various web requests
• MSOLSpray is specifically designed for Office 365 password spraying
• FireProx is written in Python, while MSOLSpray is a PowerShell script
• MSOLSpray is more targeted towards Microsoft services authentication
• FireProx offers broader application in web-based penetration testing scenarios