credit: @GossiTheDog: "If you want to setup FUZZBUNCH (the Equation exploit framework) you need Win7 VM + Python 2.6 + Pywin 2.6, then python fb.py for shell"
h/t @x0rz @DEYCrypt @hackerfantastic
context: https://steemit.com/shadowbrokers/@theshadowbrokers/lost-in-translation
writeup: https://www.trustedsec.com/blog/equation-group-dump-analysis-full-rce-win7-fully-patched-cobalt-strike/
decrypted files: https://github.com/x0rz/EQGRP_Lost_in_Translation
| For ease of use add an alias to /etc/hosts | |
| $ cat /private/etc/hosts | |
| 192.168.99.103 grok | |
| ngrok http grok:8000 | |
| or | |
| ngrok http 192.168.99.103:8000 |
| import gzip | |
| import json | |
| import requests | |
| try: | |
| from cStringIO import StringIO | |
| except: | |
| from StringIO import StringIO | |
| # Let's fetch the Common Crawl FAQ using the CC index | |
| resp = requests.get('http://index.commoncrawl.org/CC-MAIN-2015-27-index?url=http%3A%2F%2Fcommoncrawl.org%2Ffaqs%2F&output=json') |
If you have read through the Django Tutorial, you've seen examples for templating in Django. While the rest of Django, such as models, settings, migrations, etc., is the same (with or without DMP), the way you do templates will obviously change with DMP. The following examples should help you understand the different between standard Django and DMP template syntax.
Note in the examples how the DMP column normally uses standard Python syntax, with no extra language to learn:
| #List unique values in a DataFrame column | |
| pd.unique(df.column_name.ravel()) | |
| #Convert Series datatype to numeric, getting rid of any non-numeric values | |
| df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
| #Grab DataFrame rows where column has certain values | |
| valuelist = ['value1', 'value2', 'value3'] | |
| df = df[df.column.isin(value_list)] |