A tool for quickly obfuscating sensitive, violent, or extremist text to protect the researcher or analyst viewing the content - while keeping it in a unique form so that patterns can still be observed.
python -m pip install git+https://github.com/CartographerLabs/ObfuscateProtect.gitSimple Python usage to view the conversion name in the verbose log output:
from ObfuscateProtect.ObfuscateProtect import ObfuscateProtect
obfuscator = ObfuscateProtect()
obfuscator.obfuscate("string", verbose=True)Output:
Plain text 'string' obfuscated to '0a77d64c35ea4a2ea658b2e8fc5d8c26', using mode 'uuid'.More complex, using a list of names:
from ObfuscateProtect.ObfuscateProtect import ObfuscateProtect
list_of_bad_username = ["John","Steve","Chloe","Ishaan"]
obfuscator = ObfuscateProtect()
good_usernames = []
for username in list_of_bad_username:
good_usernames.append(obfuscator.obfuscate(username, mode=2))
print(good_usernames)Output:
['GREEN-BOWL', 'VIOLET-FRUIT', 'BLUE-PLANET', 'PURPLE-UNCLE']Currently this tooling supports two modes, of which can be provided to the obfuscate function via the mode paramiter. Mode 1 obfuscates all text to a UUID, while mode 2 will obfuscate all text to a color-word name paring.