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Dark Market Crawler and Parser

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Isabelle Wang 7 months ago
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1918cdd737
2 changed files with 524 additions and 0 deletions
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      MarketPlaces/DarkMarket/crawler_selenium.py
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      MarketPlaces/DarkMarket/parser.py

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MarketPlaces/DarkMarket/crawler_selenium.py View File

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__author__ = 'Helium'
'''
Dark Market Marketplace Crawler (Selenium)
not complete
need to go through multiple pages...
'''
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
from selenium.webdriver.firefox.service import Service
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from PIL import Image
import urllib.parse as urlparse
import os, re, time
from datetime import date
import subprocess
import configparser
from bs4 import BeautifulSoup
from MarketPlaces.Initialization.prepare_parser import new_parse
from MarketPlaces.DarkMarket.parser import darkmarket_links_parser
from MarketPlaces.Utilities.utilities import cleanHTML
counter = 1
baseURL = 'http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/'
# Opens Tor Browser, crawls the website, then parses, then closes tor
#acts like the main method for the crawler, another function at the end of this code calls this function later
def startCrawling():
mktName = getMKTName()
driver = getAccess()
if driver != 'down':
try:
crawlForum(driver)
except Exception as e:
print(driver.current_url, e)
closeDriver(driver)
new_parse(mktName, baseURL, True)
# Returns the name of the website
#return: name of site in string type
def getMKTName():
name = 'DarkMarket'
return name
# Return the base link of the website
#return: url of base site in string type
def getFixedURL():
url = 'http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/'
return url
# Closes Tor Browser
#@param: current selenium driver
def closeDriver(driver):
# global pid
# os.system("taskkill /pid " + str(pro.pid))
# os.system("taskkill /t /f /im tor.exe")
print('Closing Tor...')
driver.close()
time.sleep(3)
return
# Creates FireFox 'driver' and configure its 'Profile'
# to use Tor proxy and socket
def createFFDriver():
from MarketPlaces.Initialization.markets_mining import config
ff_binary = FirefoxBinary(config.get('TOR', 'firefox_binary_path'))
ff_prof = FirefoxProfile(config.get('TOR', 'firefox_profile_path'))
ff_prof.set_preference("places.history.enabled", False)
ff_prof.set_preference("privacy.clearOnShutdown.offlineApps", True)
ff_prof.set_preference("privacy.clearOnShutdown.passwords", True)
ff_prof.set_preference("privacy.clearOnShutdown.siteSettings", True)
ff_prof.set_preference("privacy.sanitize.sanitizeOnShutdown", True)
ff_prof.set_preference("signon.rememberSignons", False)
ff_prof.set_preference("network.cookie.lifetimePolicy", 2)
ff_prof.set_preference("network.dns.disablePrefetch", True)
ff_prof.set_preference("network.http.sendRefererHeader", 0)
ff_prof.set_preference("permissions.default.image", 3)
ff_prof.set_preference("browser.download.folderList", 2)
ff_prof.set_preference("browser.download.manager.showWhenStarting", False)
ff_prof.set_preference("browser.helperApps.neverAsk.saveToDisk", "text/plain")
ff_prof.set_preference('network.proxy.type', 1)
ff_prof.set_preference("network.proxy.socks_version", 5)
ff_prof.set_preference('network.proxy.socks', '127.0.0.1')
ff_prof.set_preference('network.proxy.socks_port', 9150)
ff_prof.set_preference('network.proxy.socks_remote_dns', True)
ff_prof.set_preference("javascript.enabled", False)
ff_prof.update_preferences()
service = Service(config.get('TOR', 'geckodriver_path'))
driver = webdriver.Firefox(firefox_binary=ff_binary, firefox_profile=ff_prof, service=service)
driver.maximize_window()
return driver
#the driver 'gets' the url, attempting to get on the site, if it can't access return 'down'
#return: return the selenium driver or string 'down'
def getAccess():
url = getFixedURL()
driver = createFFDriver()
try:
driver.get(url)
return driver
except:
driver.close()
return 'down'
# Saves the crawled html page, makes the directory path for html pages if not made
def savePage(driver, page, url):
cleanPage = cleanHTML(driver, page)
filePath = getFullPathName(url)
os.makedirs(os.path.dirname(filePath), exist_ok=True)
open(filePath, 'wb').write(cleanPage.encode('utf-8'))
return
# Gets the full path of the page to be saved along with its appropriate file name
#@param: raw url as crawler crawls through every site
def getFullPathName(url):
from MarketPlaces.Initialization.markets_mining import config, CURRENT_DATE
mainDir = os.path.join(config.get('Project', 'shared_folder'), "MarketPlaces/" + getMKTName() + "/HTML_Pages")
fileName = getNameFromURL(url)
if isListingLink(url):
fullPath = os.path.join(mainDir, CURRENT_DATE + r'\\Listing\\' + fileName + '.html')
elif isDescriptionLink(url):
fullPath = os.path.join(mainDir, CURRENT_DATE + r'\\Description\\' + fileName + '.html')
else:
fullPath = os.path.join(mainDir, CURRENT_DATE + r'\\Listing\\' + fileName + '.html')
return fullPath
# Creates the file name from passed URL, gives distinct name if can't be made unique after cleaned
#@param: raw url as crawler crawls through every site
def getNameFromURL(url):
global counter
name = ''.join(e for e in url if e.isalnum())
if name == '':
name = str(counter)
counter = counter + 1
return name
# returns list of urls, here is where you can list the different urls of interest, the crawler runs through this list
#in this example, there are a couple of categories some threads fall under such as
# Guides and Tutorials, Digital Products, and Software and Malware
#as you can see they are categories of products
def getInterestedLinks():
links = []
#Home for testing the next button
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/')
#Softwares
links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/softwares/')
# Guides and Training
links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/guides-and-training/')
#Tools and Other Accounts
links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/tools-and-other-accounts/')
#PayPal Transfers
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/paypal-transfers/')
#Cash App Transfers
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/cash-app-transfers/')
#Bank logs
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/bank-logs-%f0%9f%a4%91/')
#Carded Products
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/carded-products-%f0%9f%92%8e/')
#Cloned Cards
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/cloned-cards/')
#Credit Card cvv Pack
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/credit-card-cvv-pack/')
#Dumps
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/dumps/')
# Credit cards fullz Cc
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/credit-cards-fullz-cc/')
#Equipments
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/equipment/')
#Gift Cards
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/gift-cards/')
#Paypal accounts with ballance
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/paypal-accounts-with-ballance/')
#Visa Prepaid Cards
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/visa-prepaid-crads/')
#Western Union Transfers
#links.append('http://wutrspt5x47ozzkxyvmrdcclp52upd56klbtqu5aefxbgkmz5ptiviyd.onion/product-category/western-union-transfer-%f0%9f%92%b1/')
return links
# gets links of interest to crawl through, iterates through list, where each link is clicked and crawled through
#topic and description pages are crawled through here, where both types of pages are saved
#@param: selenium driver
def crawlForum(driver):
print("Crawling the DarkMarket market")
linksToCrawl = getInterestedLinks()
i = 0
while i < len(linksToCrawl):
link = linksToCrawl[i]
print('Crawling :', link)
try:
has_next_page = True
count = 0
while has_next_page:
try:
driver.get(link)
except:
driver.refresh()
html = driver.page_source
savePage(driver, html, linksToCrawl[i] + f"page{count+1}")
list = productPages(html)
for item in list:
# what is this line doing?
itemURL = urlparse.urljoin(baseURL, str(item))
try:
driver.get(itemURL)
except:
driver.refresh()
savePage(driver, driver.page_source, item)
driver.back()
# # comment out
# break
#
# # comment out
#if count == 1:
#break
#Finding next page, but have not tested if the class name and value work
try:
link = driver.find_element(by=By.XPATH, value= '/html/body/div[1]/div/div/div/div[2]/div/div/main/nav/ul/li[3]/a').get_attribute('href')
if link == "":
raise NoSuchElementException
count += 1
except NoSuchElementException:
has_next_page = False
except Exception as e:
print(link, e)
i += 1
print("Crawling the DarkMarket market done.")
# Returns 'True' if the link is a description link
#@param: url of any url crawled
#return: true if is a description page, false if not
def isDescriptionLink(url):
if 'product' in url:
return True
return False
# Returns True if the link is a listingPage link
#@param: url of any url crawled
#return: true if is a Listing page, false if not
def isListingLink(url):
if 'product-category' in url:
return True
return False
# calling the parser to define the links, the html is the url of a link from the list of interested link list
#@param: link from interested link list ie. getInterestingLinks()
#return: list of description links that should be crawled through
def productPages(html):
soup = BeautifulSoup(html, "html.parser")
return darkmarket_links_parser(soup)
def crawler():
startCrawling()
# print("Crawling and Parsing BestCardingWorld .... DONE!")

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MarketPlaces/DarkMarket/parser.py View File

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__author__ = 'DarkWeb'
# Here, we are importing the auxiliary functions to clean or convert data
from MarketPlaces.Utilities.utilities import *
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup
import re
#parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
#stores info it needs in different lists, these lists are returned after being organized
#@param: soup object looking at html page of description page
#return: 'row' that contains a variety of lists that each hold info on the description page
def darkmarket_description_parser(soup):
# Fields to be parsed
vendor = "-1" # 0 *Vendor_Name
success = "-1" # 1 Vendor_Successful_Transactions
rating_vendor = "-1" # 2 Vendor_Rating
name = "-1" # 3 *Product_Name
describe = "-1" # 4 Product_Description
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
category = "-1" # 7 Product_Category
views = "-1" # 8 Product_Number_Of_Views
reviews = "-1" # 9 Product_Number_Of_Reviews
rating_item = "-1" # 10 Product_Rating
addDate = "-1" # 11 Product_AddedDate
BTC = "-1" # 12 Product_BTC_SellingPrice
USD = "-1" # 13 Product_USD_SellingPrice
EURO = "-1" # 14 Product_EURO_SellingPrice
sold = "-1" # 15 Product_QuantitySold
left = "-1" # 16 Product_QuantityLeft
shipFrom = "-1" # 17 Product_ShippedFrom
shipTo = "-1" # 18 Product_ShippedTo
image = "-1" # 19 Product_Image
vendor_image = "-1" # 20 Vendor_Image
#Dark Market no vendor
'''
divmd7 = soup.find('div', {'class': "col-md-7"})
# Finding Vendor
vendor = divmd7.find('a').text.strip()
'''
#Finding Product name
name = soup.find('h1', {'class': "entry-title"}).text.strip()
# Finding Prices
USD = soup.find('span', {'class': "woocommerce-Price-currencySymbol"}).text.strip()
# Finding Product Image
image = soup.find('img', {'class': 'wp-post-image'})
image = image.get('src')
image = image.split('base64,')[-1]
# Finding the Product description
describe = soup.find('div', {'class': "woocommerce-Tabs-panel--description"}).text
describe = cleanString(describe.strip())
#Gets rid of the Description word (the first <p>)
describe = describe[11:]
#Finding Category
category = soup.find('a', {'rel': 'tag'}).text.strip()
#Finding number of product reviews
reviews = soup.find('span', class_="count").text.strip()
#Finding producting rating
rating_item = soup.find('strong', {'class': 'rating'}).text.strip()
# Searching for CVE and MS categories
cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
if cve:
CVE = " "
for idx in cve:
CVE += (idx)
CVE += " "
CVE = CVE.replace(',', ' ')
CVE = CVE.replace('\n', '')
ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}'))
if ms:
MS = " "
for im in ms:
MS += (im)
MS += " "
MS = MS.replace(',', ' ')
MS = MS.replace('\n', '')
# Populating the final variable (this should be a list with all fields scraped)
row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
# Sending the results
return row
#parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
#stores info it needs in different lists, these lists are returned after being organized
#@param: soup object looking at html page of listing page
#return: 'row' that contains a variety of lists that each hold info on the listing page
def darkmarket_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "DarkMarket" # 0 *Marketplace_Name
vendor = [] # 1 *Vendor y
rating_vendor = [] # 2 Vendor_Rating
success = [] # 3 Vendor_Successful_Transactions
name = [] # 4 *Product_Name y
CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
category = [] # 7 Product_Category y
describe = [] # 8 Product_Description
views = [] # 9 Product_Number_Of_Views
reviews = [] # 10 Product_Number_Of_Reviews
rating_item = [] # 11 Product_Rating
addDate = [] # 12 Product_AddDate
BTC = [] # 13 Product_BTC_SellingPrice
USD = [] # 14 Product_USD_SellingPrice y
EURO = [] # 15 Product_EURO_SellingPrice
sold = [] # 16 Product_QuantitySold
qLeft = [] # 17 Product_QuantityLeft
shipFrom = [] # 18 Product_ShippedFrom
shipTo = [] # 19 Product_ShippedTo
image = [] # 20 Product_Image
image_vendor = [] # 21 Vendor_Image
href = [] # 22 Product_Links
listing = soup.findAll('li', {"class": ["type-product", "product"]})
# Populating the Number of Products
nm = len(listing)
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls (Product Links)
link = bae[0].get('href')
href.append(link)
# Category
temp_category = soup.find('h1', {'class': 'page-title'}).text.strip()
category.append(temp_category)
# Product Name
product = a.find('h2', {"class": "woocommerce-loop-product__title"}).text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.replace("...", "")
product = product.strip()
name.append(product)
# USD Price
price = a.find('span', {"class": "woocommerce-Price-currencySymbol"})
if "$" in price:
tempUSD = price.next_sibling.strip()
#tempUSD = price.get_next
USD.append(tempUSD)
else:
USD.append("-1")
# Img
product_image = a.find('img', class_='attachment-woocommerce_thumbnail')
product_image = product_image.get('src')
#print("src ", str(product_image))
product_image = product_image.split('base64,')[-1]
#print("listing ", str(product_image)[0:30])
image.append(product_image)
# Searching for CVE and MS categories
cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
if not cve:
cveValue="-1"
else:
cee = " "
for idx in cve:
cee += (idx)
cee += " "
cee = cee.replace(',', ' ')
cee = cee.replace('\n', '')
cveValue=cee
CVE.append(cveValue)
ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
if not ms:
MSValue="-1"
else:
me = " "
for im in ms:
me += (im)
me += " "
me = me.replace(',', ' ')
me = me.replace('\n', '')
MSValue=me
MS.append(MSValue)
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
#called by the crawler to get description links on a listing page
#@param: beautifulsoup object that is using the correct html page (listing page)
#return: list of description links from a listing page
def darkmarket_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find_all('li', class_=["product", "type-product"])
for a in listing:
bae = a.find('a', href=True)
link = bae['href']
href.append(link)
return href

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