import os
import re
import sys
import json
import base64
import sqlite3
import win32crypt
from Cryptodome.Cipher import AES
import shutil
import csv

# GLOBAL CONSTANT
CHROME_PATH_LOCAL_STATE = os.path.normpath(r"C:\Users\snake\AppData\Local\Google\Chrome\User Data\Local State")
CHROME_PATH = os.path.normpath(r"C:\Users\snake\AppData\Local\Google\Chrome\User Data")

def get_secret_key():
    try:
        #(1) Get secretkey from chrome local state
        with open( CHROME_PATH_LOCAL_STATE, "r", encoding='utf-8') as f:
            local_state = f.read()
            local_state = json.loads(local_state)
        secret_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
        #Remove suffix DPAPI
        secret_key = secret_key[5:] 
        secret_key = win32crypt.CryptUnprotectData(secret_key, None, None, None, 0)[1]
        return secret_key
    except Exception as e:
        print("%s"%str(e))
        print("[ERR] Chrome secretkey cannot be found")
        return None
    
def decrypt_payload(cipher, payload):
    return cipher.decrypt(payload)

def generate_cipher(aes_key, iv):
    return AES.new(aes_key, AES.MODE_GCM, iv)

def decrypt_password(ciphertext, secret_key):
    try:
        #(3-a) Initialisation vector for AES decryption
        initialisation_vector = ciphertext[3:15]
        #(3-b) Get encrypted password by removing suffix bytes (last 16 bits)
        #Encrypted password is 192 bits
        encrypted_password = ciphertext[15:-16]
        #(4) Build the cipher to decrypt the ciphertext
        cipher = generate_cipher(secret_key, initialisation_vector)
        decrypted_pass = decrypt_payload(cipher, encrypted_password)
        decrypted_pass = decrypted_pass.decode()  
        return decrypted_pass
    except Exception as e:
        print("%s"%str(e))
        print("[ERR] Unable to decrypt, Chrome version <80 not supported. Please check.")
        return ""
    
def get_db_connection(chrome_path_login_db):
    try:
        print(chrome_path_login_db)
        shutil.copy2(chrome_path_login_db, "Loginvault.db") 
        return sqlite3.connect("Loginvault.db")
    except Exception as e:
        print("%s"%str(e))
        print("[ERR] Chrome database cannot be found")
        return None
        
if __name__ == '__main__':
    try:
        #Create Dataframe to store passwords
        with open('decrypted_password.csv', mode='w', newline='', encoding='utf-8') as decrypt_password_file:
            csv_writer = csv.writer(decrypt_password_file, delimiter=',')
            csv_writer.writerow(["index","url","username","password"])
            #(1) Get secret key
            secret_key = get_secret_key()
            #Search user profile or default folder (this is where the encrypted login password is stored)
            folders = [element for element in os.listdir(CHROME_PATH) if re.search("^Profile*|^Default$",element)!=None]
            for folder in folders:
            	#(2) Get ciphertext from sqlite database
                chrome_path_login_db = os.path.normpath(r"%s\%s\Login Data"%(CHROME_PATH,folder))
                conn = get_db_connection(chrome_path_login_db)
                if(secret_key and conn):
                    cursor = conn.cursor()
                    cursor.execute("SELECT action_url, username_value, password_value FROM logins")
                    for index,login in enumerate(cursor.fetchall()):
                        url = login[0]
                        username = login[1]
                        ciphertext = login[2]
                        if(url!="" and username!="" and ciphertext!=""):
                            #(3) Filter the initialisation vector & encrypted password from ciphertext 
                            #(4) Use AES algorithm to decrypt the password
                            decrypted_password = decrypt_password(ciphertext, secret_key)
                            print("Sequence: %d"%(index))
                            print("URL: %s\nUser Name: %s\nPassword: %s\n"%(url,username,decrypted_password))
                            print("*"*50)
                            #(5) Save into CSV 
                            csv_writer.writerow([index,url,username,decrypted_password])
                    #Close database connection
                    cursor.close()
                    conn.close()
                    #Delete temp login db
                    os.remove("Loginvault.db")
    except Exception as e:
        print("[ERR] %s"%str(e))
 

Python Online Compiler

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.

Taking inputs (stdin)

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)

About Python

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.

Tutorial & Syntax help

Loops

1. If-Else:

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

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

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 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

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)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

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.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling