multithreading is donw
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@@ -5,10 +5,23 @@ import mmh3
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import string
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import sys
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from os import walk
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from chardet.universaldetector import UniversalDetector
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from elasticsearch import Elasticsearch
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from elasticsearch.helpers import bulk
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from multiprocessing import Pool,Lock
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import multiprocessing
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lock = Lock()
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def log_to_file(text):
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global log_filename
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with lock: # thread blocks at this line until it can obtain lock
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with open(log_filename, 'a+') as file_log:
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file_log.write("{}\n".format(text))
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def log_to_console(text):
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with lock: # thread blocks at this line until it can obtain lock
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print(text)
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def get_mask(s):
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@@ -87,24 +100,19 @@ def get_files(dir):
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filedata=line.split(";")
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files_in_log[filedata[0]]=float(filedata[1])
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except:
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print("Can't parse Line")
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log_to_console("Can't parse Line")
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pass
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except:
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print("Can't open Logfile")
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log_to_console("Can't open Logfile")
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pass
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for (dirpath, dirnames, filenames) in walk(dir):
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for file in filenames:
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full_filename=os.path.join(dirpath, file)
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if full_filename in files_in_log and files_in_log[full_filename] > threshold:
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print('[~] Skipping file [Already Parsed]: %s' % full_filename)
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log_to_console('[~] Skipping file [Already Parsed]: %s' % full_filename)
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continue
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encoding=get_file_enconding(full_filename)
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if encoding:
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yield encoding, full_filename
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else:
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print('[~] Skipping file [Unknown Encoding]: %s' % full_filename)
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yield full_filename
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def get_lines(file,encoding=None):
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@@ -115,11 +123,11 @@ def get_lines(file,encoding=None):
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yield (strip_badbytes(line, encoding))
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def get_parsable_lines(file):
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def get_parsable_lines(file,encoding):
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global log_filename
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success = 0 # initialized with 1 to preven div/0
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failure = 0
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for line in get_lines(file):
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for line in get_lines(file,encoding):
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doc = extract_email(line)
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if doc:
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success += 1
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@@ -127,13 +135,18 @@ def get_parsable_lines(file):
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else:
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failure += 1
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success_rate = (success / (success + failure))
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print('[+] Done with file: {} ({})'.format(file,success_rate))
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with open(log_filename, 'a+') as file_log:
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file_log.write("{};{}\n".format(file, success_rate))
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log_to_console('[+] Done with file: {} ({})'.format(file,success_rate))
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log_to_file("{};{}".format(file, success_rate))
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def create_doc(file):
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for cred in get_parsable_lines(file):
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def get_hash(text):
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return hex(mmh3.hash(text, 12, signed=False)).split("x")[1]
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def get_user_pw_hash(text):
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return hex(mmh3.hash128(text, 12,signed=False) % 1000000000000000).split("x")[1]
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def create_doc(file,encoding):
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for cred in get_parsable_lines(file,encoding):
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doc = {
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"user" : cred[0],
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"domain" : cred[1],
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@@ -148,40 +161,55 @@ def create_doc(file):
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}
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username_split=cred[0].split(";")
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if len(username_split)==2:
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if len(username_split[0]) > 0 and len(username_split[1]) > 0:
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doc["username"]=username_split[0]
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doc["user"]=username_split[1]
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id_hash=hex(mmh3.hash128(",".join((doc["user"], doc["domain"], doc["password"])), 12,signed=False) % 1000000000000000000000)
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yield id_hash, doc
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id_hash=get_user_pw_hash("{}{}".format(doc["user"],doc["password"]))
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# id_domain=get_domain_hash(cred[1])
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id_domain=id_hash[:1]
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yield id_domain, id_hash, doc
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def process_file(input_file):
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def process_file(input_file,encoding):
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global index, doc_type_name
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for id_hash, doc in create_doc(input_file):
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for id_domain, id_hash, doc in create_doc(input_file,encoding):
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yield {
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"_index": index,
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"_index": "{}_{}".format(index,id_domain),
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"_type": doc_type_name,
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"_id": id_hash,
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"_source": doc
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}
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def index_file(input_file):
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ps=multiprocessing.current_process()
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encoding=get_file_enconding(input_file)
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if encoding:
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es = Elasticsearch()
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# count = es.count(index=index, doc_type=doc_type_name, body={ "query": {"match_all" : { }}})
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# pre=count["count"]
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log_to_console('[{}:*] Indexing file: {}'.format(ps.pid,input_file))
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success, _ = bulk(es, process_file(input_file,encoding), request_timeout=60, raise_on_exception=False)
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# count = es.count(index=index, doc_type=doc_type_name, body={ "query": {"match_all" : { }}})
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# post=count["count"]
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# log_to_console('[{}:=] Added {} Documents with {}'.format(ps.pid,post-pre,input_file))
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else:
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log_to_console('[{}:~] Skipping file [Unknown Encoding]: {}'.format(ps.pid,input_file))
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index = "leak_col1"
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doc_type_name = "credential"
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log_filename = "processed_files"
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threshold = 0 #threshold for reparsing an already parsed file
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threshold = -1 #threshold for reparsing an already parsed file
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p=Pool(20)
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def main():
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es = Elasticsearch()
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dir=sys.argv[1]
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for encoding, data in get_files(dir):
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count = es.count(index=index, doc_type=doc_type_name, body={ "query": {"match_all" : { }}})
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pre=count["count"]
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print('[*] Indexing file: %s' % data)
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success, _ = bulk(es, process_file(data), request_timeout=60, raise_on_exception=False)
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count = es.count(index=index, doc_type=doc_type_name, body={ "query": {"match_all" : { }}})
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post=count["count"]
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print('[=] Added {} Documents with {}'.format(post-pre,data))
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# for filename in get_files(dir):
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# index_file(filename)
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p.map(index_file,get_files(dir))
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if __name__ == '__main__':
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main()
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