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Merge remote-tracking branch 'origin/main'

main
westernmeadow 1 year ago
parent
commit
71d4d78a8f
4 changed files with 504 additions and 0 deletions
  1. +289
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      MarketPlaces/AnonMarket/crawler_selenium.py
  2. +207
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      MarketPlaces/AnonMarket/parser.py
  3. +3
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      MarketPlaces/Initialization/markets_mining.py
  4. +5
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      MarketPlaces/Initialization/prepare_parser.py

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MarketPlaces/AnonMarket/crawler_selenium.py View File

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__author__ = 'Helium'
'''
Anon Market Crawler (Selenium)
'''
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.AnonMarket.parser import AnonMarket_links_parser
from MarketPlaces.Utilities.utilities import cleanHTML
counter = 1
baseURL = 'http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.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():
opentor()
mktName = getMKTName()
driver = getAccess()
if driver != 'down':
try:
crawlForum(driver)
except Exception as e:
print(driver.current_url, e)
closetor(driver)
new_parse(mktName, baseURL, True)
# Opens Tor Browser
#prompts for ENTER input to continue
def opentor():
from MarketPlaces.Initialization.markets_mining import config
global pid
print("Connecting Tor...")
pro = subprocess.Popen(config.get('TOR', 'firefox_binary_path'))
pid = pro.pid
time.sleep(7.5)
input('Tor Connected. Press ENTER to continue\n')
return
# Returns the name of the website
#return: name of site in string type
def getMKTName():
name = 'AnonMarket'
return name
# Return the base link of the website
#return: url of base site in string type
def getFixedURL():
url = 'http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion'
return url
# Closes Tor Browser
#@param: current selenium driver
def closetor(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", 2)
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'
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 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 = []
# # Software
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/civil_softwares')
# # Malware
links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/malware')
# # Bootkits
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/bootkits')
# # Backdoors
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/backdoors')
# # Keyloggers
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/keyloggers')
# # Wireless Trackers
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/wireless_trackers')
# # Screen Scrapers
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/screen_scrapers')
# # Mobile Forensic Tools
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/mobile_forensics_tools')
# # Wifi Jammers
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/wifi_jammers')
# # Carding
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/carding')
# # Worms
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/worms')
# # Viruses
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/viruses')
# # Trojans
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/trojans')
# # Botnets
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/botnets')
# # Security Technology
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/security_technology')
# # Hacks
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/hacks')
# # Exploit kits
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/exploit_kit')
# # Security
# links.append('http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion/category/security')
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 Anon Market")
linksToCrawl = getInterestedLinks()
for link in linksToCrawl:
print('Crawling :', link)
has_next_page = True
while has_next_page:
try:
driver.get(link)
except:
driver.refresh()
html = driver.page_source
savePage(driver, html, link)
# Get all product links on the current page
products_list = productPages(html)
for item in products_list:
itemURL = urlparse.urljoin(baseURL, str(item))
try:
driver.get(itemURL)
except:
driver.refresh()
savePage(driver, driver.page_source, item)
driver.back() # Go back to listing after visiting each product
# Find the active page number
active_page_element = driver.find_element(By.XPATH, '//div[@class="page activepage"]')
current_page = int(active_page_element.text)
# Locate the next page link
try:
next_page_element = active_page_element.find_element(By.XPATH, 'following-sibling::a[1]')
link = next_page_element.get_attribute('href')
except NoSuchElementException:
has_next_page = False
print("Crawling Anon 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 '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 AnonMarket_links_parser(soup)
def crawler():
startCrawling()
# print("Crawling and Parsing Nexus .... DONE!")

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MarketPlaces/AnonMarket/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 AnonMarket_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) dont worry about that much
MS = "-1" # 6 Product_MS_Classification (Microsoft Security) dont worry about that much
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
name_of_product = soup.find("div", {"class": "heading"}).text
name = cleanString(name_of_product.strip())
description_div = soup.find("div", {"class": "tab1"})
if description_div is None:
describe = "-1"
else:
describe = cleanString(description_div.text.strip())
info_div = soup.find('div', {'class': 'information'})
table = info_div.find('table') if info_div else None
if table:
# Find all table rows
rows = table.find_all('tr')
# Parse each row to get relevant data
data = {}
for row in rows:
columns = row.find_all('td')
if len(columns) == 3:
key = columns[0].text.strip()
value = columns[2].text.strip()
data[key] = value
# Extract specific data from the dictionary and assign them to individual variables
vendor = data.get('Vendor', '-1')
shipFrom = data.get('Location', '-1')
shipTo = data.get('Ships to', '-1')
category = data.get('Category', '-1')
USD = data.get('Price', '-1').split()[0]
left = data.get('Stock', '-1')
# 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)
# 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 AnonMarket_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "AnonMarket" # 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)
MS = [] # 6 Product_MS_Classification (Microsoft Security)
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
href = [] # 20 Product_Links
base_url = "http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion"
products_list = soup.find_all('div', {'class': 'item'})
nm = 0
for product in products_list:
try:
name_of_product = product.find("div", {"class": "title"}).text.strip()
name.append(name_of_product)
name_of_vendor = product.find("a", {'class': 'seller'}).text.strip()
vendor.append(name_of_vendor)
cat = soup.find("div", {'class': 'heading'}).text
category.append(cat)
product_link_element = product.find("div", {"class": "title"}).find_parent('a')
if product_link_element:
link = product_link_element['href']
if "/product/" in link and "/user/" not in link:
full_link = base_url + link
href.append(full_link)
else:
href.append("-1")
else:
href.append("-1")
# Append '-1' for unavailable data
rating_vendor.append("-1")
success.append("-1")
CVE.append("-1")
MS.append("-1")
describe.append("-1")
views.append("-1")
reviews.append("-1")
addDate.append("-1")
BTC.append("-1")
EURO.append("-1")
sold.append("-1")
qLeft.append("-1")
shipFrom.append("-1")
shipTo.append("-1")
nm += 1
except AttributeError as e:
print("I'm somewhere I don't belong. I'm going to leave")
continue
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(
marketplace = "AnonMarket",
nm = nm,
vendor = vendor,
rating_vendor = rating_vendor,
success_vendor = success,
nombre = name,
CVE = CVE,
MS = MS,
category = category,
describe = describe,
views = views,
reviews = reviews,
rating_item = rating_item,
addDate = addDate,
BTC = BTC,
USD = USD,
EURO = EURO,
sold = sold,
qLeft = qLeft,
shipFrom = shipFrom,
shipTo = shipTo,
href = href
)
#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 AnonMarket_links_parser(soup):
# Base URL to prepend to each product link
base_url = "http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion"
# Returning all links that should be visited by the Crawler
href = []
# Using a shorter, but still unique, class name
listing = soup.find('div', {'class': 'items'}).find_all('a', href=True, attrs={'href': lambda x: "/product/" in x})
for a in listing:
link = a.get('href')
if link: # Checks if 'href' attribute is not None
# Prepending the base URL to the scraped link
full_link = base_url + link
href.append(full_link)
# Filtering out any links that might not have '/product/' in them
product_links = [link for link in href if '/product/' in link]
return product_links

+ 3
- 0
MarketPlaces/Initialization/markets_mining.py View File

@ -26,6 +26,7 @@ from MarketPlaces.Nexus.crawler_selenium import crawler as crawlerNexus
from MarketPlaces.CypherMarketplace.crawler_selenium import crawler as crawlerCypher from MarketPlaces.CypherMarketplace.crawler_selenium import crawler as crawlerCypher
from MarketPlaces.DarkBazar.crawler_selenium import crawler as crawlerDarkBazar from MarketPlaces.DarkBazar.crawler_selenium import crawler as crawlerDarkBazar
from MarketPlaces.PabloEscobarMarket.crawler_selenium import crawler as crawlerPabloEscobar from MarketPlaces.PabloEscobarMarket.crawler_selenium import crawler as crawlerPabloEscobar
from MarketPlaces.AnonMarket.crawler_selenium import crawler as crawlerAnonMarket
import configparser import configparser
import os import os
@ -143,5 +144,7 @@ if __name__ == '__main__':
crawlerDarkBazar() crawlerDarkBazar()
elif mkt == "PabloEscobarMarket": elif mkt == "PabloEscobarMarket":
crawlerPabloEscobar() crawlerPabloEscobar()
elif mkt == "AnonMarket":
crawlerAnonMarket()
print("\nScraping process completed!") print("\nScraping process completed!")

+ 5
- 0
MarketPlaces/Initialization/prepare_parser.py View File

@ -23,6 +23,7 @@ from MarketPlaces.Nexus.parser import *
from MarketPlaces.MikesGrandStore.parser import * from MarketPlaces.MikesGrandStore.parser import *
from MarketPlaces.DarkBazar.parser import * from MarketPlaces.DarkBazar.parser import *
from MarketPlaces.PabloEscobarMarket.parser import * from MarketPlaces.PabloEscobarMarket.parser import *
from MarketPlaces.AnonMarket.parser import *
from MarketPlaces.Classifier.classify_product import predict from MarketPlaces.Classifier.classify_product import predict
@ -158,6 +159,8 @@ def parse_listing(marketPlace, listingFile, soup, createLog, logFile):
rw = darkbazar_listing_parser(soup) rw = darkbazar_listing_parser(soup)
elif marketPlace == "PabloEscobarMarket": elif marketPlace == "PabloEscobarMarket":
rw = pabloescobarmarket_listing_parser(soup) rw = pabloescobarmarket_listing_parser(soup)
elif marketPlace == "AnonMarket":
rw = AnonMarket_listing_parser(soup)
else: else:
print("MISSING CALL TO LISTING PARSER IN PREPARE_PARSER.PY!") print("MISSING CALL TO LISTING PARSER IN PREPARE_PARSER.PY!")
raise Exception raise Exception
@ -213,6 +216,8 @@ def parse_description(marketPlace, descriptionFile, soup, createLog, logFile):
rmm = darkbazar_description_parser(soup) rmm = darkbazar_description_parser(soup)
elif marketPlace == "PabloEscobarMarket": elif marketPlace == "PabloEscobarMarket":
rmm = pabloescobarmarket_description_parser(soup) rmm = pabloescobarmarket_description_parser(soup)
elif marketPlace == "AnonMarket":
rmm = AnonMarket_description_parser(soup)
else: else:
print("MISSING CALL TO DESCRIPTION PARSER IN PREPARE_PARSER.PY!") print("MISSING CALL TO DESCRIPTION PARSER IN PREPARE_PARSER.PY!")
raise Exception raise Exception


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