Merge branch 'master' of github.com:CIRCL/AIL-framework

Conflicts:
	bin/packages/modules.cfg
This commit is contained in:
Alexandre Dulaunoy 2016-07-25 07:56:46 +00:00
commit d013546643
17 changed files with 444 additions and 16 deletions

View file

@ -50,6 +50,8 @@ if __name__ == "__main__":
if len(creds) > critical:
print("========> Found more than 10 credentials in this file : {}".format(filepath))
publisher.warning(to_print)
#Send to duplicate
p.populate_set_out(filepath)
if sites:
print("=======> Probably on : {}".format(', '.join(sites)))
else:

View file

@ -65,6 +65,8 @@ if __name__ == "__main__":
if (len(creditcard_set) > 0):
publisher.warning('{}Checked {} valid number(s)'.format(
to_print, len(creditcard_set)))
#Send to duplicate
p.populate_set_out(filename)
else:
publisher.info('{}CreditCard related'.format(to_print))
else:

View file

@ -74,9 +74,9 @@ if __name__ == "__main__":
# Creating the bloom filter name: bloomyyyymm
filebloompath = os.path.join(bloompath, 'bloom' + PST.p_date.year +
PST.p_date.month)
if os.path.exists(filebloompath):
bloom = BloomFilter.open(filebloompath)
bloop_path_set.add(filebloompath)
else:
bloom = BloomFilter(100000000, 0.01, filebloompath)
bloop_path_set.add(filebloompath)
@ -94,7 +94,6 @@ if __name__ == "__main__":
for bloo in bloop_path_set:
# Opening blooms
opened_bloom.append(BloomFilter.open(bloo))
# For each hash of the paste
for line_hash in PST._get_hash_lines(min=5, start=1, jump=0):
nb_hash_current += 1
@ -105,7 +104,6 @@ if __name__ == "__main__":
r_serv1.sadd("HASHS", line_hash)
# Adding the hash in the bloom of the month
bloom.add(line_hash)
# Go throught the Database of the bloom filter (of the month)
for bloo in opened_bloom:
if line_hash in bloo:
@ -148,6 +146,8 @@ if __name__ == "__main__":
percentage = round((count/float(nb_hash_current))*100, 2)
if percentage >= 50:
dupl.append((paste, percentage))
else:
print 'percentage: ' + str(percentage)
# Creating the object attribute and save it.
to_print = 'Duplicate;{};{};{};'.format(
@ -156,6 +156,7 @@ if __name__ == "__main__":
PST.__setattr__("p_duplicate", dupl)
PST.save_attribute_redis("p_duplicate", dupl)
publisher.info('{}Detected {}'.format(to_print, len(dupl)))
print '{}Detected {}'.format(to_print, len(dupl))
y = time.time()

182
bin/Duplicate_ssdeep.py Executable file
View file

@ -0,0 +1,182 @@
#!/usr/bin/env python2
# -*-coding:UTF-8 -*
"""
The Duplicate module
====================
This huge module is, in short term, checking duplicates.
Requirements:
-------------
"""
import redis
import os
import time
import datetime
import json
import ssdeep
from packages import Paste
from pubsublogger import publisher
from Helper import Process
if __name__ == "__main__":
publisher.port = 6380
publisher.channel = "Script"
config_section = 'Duplicates'
save_dico_and_reload = 1 #min
time_1 = time.time()
flag_reload_from_disk = True
flag_write_to_disk = False
p = Process(config_section)
# REDIS #
# DB OBJECT & HASHS ( DISK )
# FIXME increase flexibility
dico_redis = {}
for year in xrange(2013, datetime.date.today().year+1):
for month in xrange(0, 16):
dico_redis[str(year)+str(month).zfill(2)] = redis.StrictRedis(
host=p.config.get("Redis_Level_DB", "host"), port=year,
db=month)
#print("dup: "+str(year)+str(month).zfill(2)+"\n")
# FUNCTIONS #
publisher.info("Script duplicate started")
dicopath = os.path.join(os.environ['AIL_HOME'],
p.config.get("Directories", "dicofilters"))
dico_path_set = set()
while True:
try:
hash_dico = {}
dupl = []
x = time.time()
message = p.get_from_set()
if message is not None:
path = message
PST = Paste.Paste(path)
else:
publisher.debug("Script Attribute is idling 10s")
time.sleep(10)
continue
PST._set_p_hash_kind("ssdeep")
# Assignate the correct redis connexion
r_serv1 = dico_redis[PST.p_date.year + PST.p_date.month]
# Creating the dicor name: dicoyyyymm
filedicopath = os.path.join(dicopath, 'dico' + PST.p_date.year +
PST.p_date.month)
filedicopath_today = filedicopath
# Save I/O
if time.time() - time_1 > save_dico_and_reload*60:
flag_write_to_disk = True
if os.path.exists(filedicopath):
if flag_reload_from_disk == True:
flag_reload_from_disk = False
print 'Reloading'
with open(filedicopath, 'r') as fp:
today_dico = json.load(fp)
else:
today_dico = {}
with open(filedicopath, 'w') as fp:
json.dump(today_dico, fp)
# For now, just use monthly dico
dico_path_set.add(filedicopath)
# UNIQUE INDEX HASHS TABLE
yearly_index = str(datetime.date.today().year)+'00'
r_serv0 = dico_redis[yearly_index]
r_serv0.incr("current_index")
index = r_serv0.get("current_index")+str(PST.p_date)
# For each dico
opened_dico = []
for dico in dico_path_set:
# Opening dico
if dico == filedicopath_today:
opened_dico.append([dico, today_dico])
else:
with open(dico, 'r') as fp:
opened_dico.append([dico, json.load(fp)])
#retrieve hash from paste
paste_hash = PST._get_p_hash()
# Go throught the Database of the dico (of the month)
threshold_dup = 99
for dico_name, dico in opened_dico:
for dico_key, dico_hash in dico.items():
percent = ssdeep.compare(dico_hash, paste_hash)
if percent > threshold_dup:
db = dico_name[-6:]
# Go throught the Database of the dico filter (month)
r_serv_dico = dico_redis[db]
# index of paste
index_current = r_serv_dico.get(dico_hash)
paste_path = r_serv_dico.get(index_current)
if paste_path != None:
hash_dico[dico_hash] = (paste_path, percent)
#print 'comparing: ' + str(dico_hash[:20]) + ' and ' + str(paste_hash[:20]) + ' percentage: ' + str(percent)
print ' '+ PST.p_path[44:] +', '+ paste_path[44:] + ', ' + str(percent)
# Add paste in DB to prevent its analyse twice
# HASHTABLES PER MONTH (because of r_serv1 changing db)
r_serv1.set(index, PST.p_path)
r_serv1.sadd("INDEX", index)
# Adding the hash in Redis
r_serv1.set(paste_hash, index)
r_serv1.sadd("HASHS", paste_hash)
##################### Similarity found #######################
# if there is data in this dictionnary
if len(hash_dico) != 0:
for dico_hash, paste_tuple in hash_dico.items():
paste_path, percent = paste_tuple
dupl.append((paste_path, percent))
# Creating the object attribute and save it.
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
if dupl != []:
PST.__setattr__("p_duplicate", dupl)
PST.save_attribute_redis("p_duplicate", dupl)
publisher.info('{}Detected {}'.format(to_print, len(dupl)))
print '{}Detected {}'.format(to_print, len(dupl))
y = time.time()
publisher.debug('{}Processed in {} sec'.format(to_print, y-x))
# Adding the hash in the dico of the month
today_dico[index] = paste_hash
if flag_write_to_disk:
time_1 = time.time()
flag_write_to_disk = False
flag_reload_from_disk = True
print 'writing'
with open(filedicopath, 'w') as fp:
json.dump(today_dico, fp)
except IOError:
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
print "CRC Checksum Failed on :", PST.p_path
publisher.error('{}CRC Checksum Failed'.format(to_print))

161
bin/Duplicate_ssdeep_v2.py Executable file
View file

@ -0,0 +1,161 @@
#!/usr/bin/env python2
# -*-coding:UTF-8 -*
"""
The Duplicate module
====================
This huge module is, in short term, checking duplicates.
Its input comes from other modules, namely:
Credential, CreditCard, Keys, Mails and Phone
This one differ from v1 by only using redis and not json file stored on disk
Requirements:
-------------
"""
import redis
import os
import time
from datetime import datetime, timedelta
import json
import ssdeep
from packages import Paste
from pubsublogger import publisher
from Helper import Process
if __name__ == "__main__":
publisher.port = 6380
publisher.channel = "Script"
config_section = 'Duplicates'
p = Process(config_section)
maximum_month_range = int(p.config.get("Modules_Duplicates", "maximum_month_range"))
threshold_duplicate = int(p.config.get("Modules_Duplicates", "threshold_duplicate"))
min_paste_size = float(p.config.get("Modules_Duplicates", "min_paste_size"))
# REDIS #
dico_redis = {}
date_today = datetime.today()
for year in xrange(2013, date_today.year+1):
for month in xrange(0, 13):
dico_redis[str(year)+str(month).zfill(2)] = redis.StrictRedis(
host=p.config.get("Redis_Level_DB", "host"), port=year,
db=month)
#print("dup: "+str(year)+str(month).zfill(2)+"\n")
# FUNCTIONS #
publisher.info("Script duplicate started")
while True:
try:
hash_dico = {}
dupl = []
dico_range_list = []
x = time.time()
message = p.get_from_set()
if message is not None:
path = message
PST = Paste.Paste(path)
else:
publisher.debug("Script Attribute is idling 10s")
time.sleep(10)
continue
# the paste is too small
if (PST._get_p_size() < min_paste_size):
continue
PST._set_p_hash_kind("ssdeep")
# Assignate the correct redis connexion
r_serv1 = dico_redis[PST.p_date.year + PST.p_date.month]
# Creating the dico name: yyyymm
# Get the date of the range
date_range = date_today - timedelta(days = maximum_month_range*30.4166666)
num_of_month = (date_today.year - date_range.year)*12 + (date_today.month - date_range.month)
for diff_month in xrange(0, num_of_month+1):
curr_date_range = date_today - timedelta(days = diff_month*30.4166666)
to_append = str(curr_date_range.year)+str(curr_date_range.month).zfill(2)
dico_range_list.append(to_append)
# Use all dico in range
dico_range_list = dico_range_list[0:maximum_month_range]
# UNIQUE INDEX HASHS TABLE
yearly_index = str(date_today.year)+'00'
r_serv0 = dico_redis[yearly_index]
r_serv0.incr("current_index")
index = r_serv0.get("current_index")+str(PST.p_date)
# Open selected dico range
opened_dico = []
for dico_name in dico_range_list:
opened_dico.append([dico_name, dico_redis[dico_name]])
# retrieve hash from paste
paste_hash = PST._get_p_hash()
# Go throught the Database of the dico (of the month)
for curr_dico_name, curr_dico_redis in opened_dico:
for dico_hash in curr_dico_redis.smembers('HASHS'):
try:
percent = ssdeep.compare(dico_hash, paste_hash)
if percent > threshold_duplicate:
# Go throught the Database of the dico filter (month)
r_serv_dico = dico_redis[curr_dico_name]
# index of paste
index_current = r_serv_dico.get(dico_hash)
paste_path = r_serv_dico.get(index_current)
if paste_path != None:
hash_dico[dico_hash] = (paste_path, percent)
#print 'comparing: ' + str(PST.p_path[44:]) + ' and ' + str(paste_path[44:]) + ' percentage: ' + str(percent)
except:
# ssdeep hash not comparable
print 'ssdeep hash not comparable, cleaning bad hash: '+dico_hash
curr_dico_redis.srem('HASHS', dico_hash)
# Add paste in DB after checking to prevent its analysis twice
# hash_i -> index_i AND index_i -> PST.PATH
r_serv1.set(index, PST.p_path)
r_serv1.sadd("INDEX", index)
# Adding the hash in Redis
r_serv1.set(paste_hash, index)
r_serv1.sadd("HASHS", paste_hash)
##################### Similarity found #######################
# if there is data in this dictionnary
if len(hash_dico) != 0:
# paste_tuple = (paste_path, percent)
for dico_hash, paste_tuple in hash_dico.items():
dupl.append(paste_tuple)
# Creating the object attribute and save it.
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
if dupl != []:
PST.__setattr__("p_duplicate", dupl)
PST.save_attribute_redis("p_duplicate", dupl)
publisher.info('{}Detected {}'.format(to_print, len(dupl)))
print '{}Detected {}'.format(to_print, len(dupl))
y = time.time()
publisher.debug('{}Processed in {} sec'.format(to_print, y-x))
#print '{}Processed in {} sec'.format(to_print, y-x)
except IOError:
to_print = 'Duplicate;{};{};{};'.format(
PST.p_source, PST.p_date, PST.p_name)
print "CRC Checksum Failed on :", PST.p_path
publisher.error('{}CRC Checksum Failed'.format(to_print))

View file

@ -16,6 +16,8 @@ def search_gpg(message):
content = paste.get_p_content()
if '-----BEGIN PGP MESSAGE-----' in content:
publisher.warning('{} has a PGP enc message'.format(paste.p_name))
#Send to duplicate
p.populate_set_out(message)
if __name__ == '__main__':

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@ -105,7 +105,7 @@ function launching_scripts {
screen -S "Script" -X screen -t "Global" bash -c './Global.py; read x'
sleep 0.1
screen -S "Script" -X screen -t "Duplicate" bash -c './Duplicate.py; read x'
screen -S "Script" -X screen -t "Duplicate" bash -c './Duplicate_ssdeep_v2.py; read x'
sleep 0.1
screen -S "Script" -X screen -t "Attribute" bash -c './Attribute.py; read x'
sleep 0.1

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@ -60,6 +60,8 @@ if __name__ == "__main__":
MX_values[0])
if MX_values[0] > is_critical:
publisher.warning(to_print)
#Send to duplicate
p.populate_set_out(filename)
else:
publisher.info(to_print)
prec_filename = filename

View file

@ -23,6 +23,8 @@ def search_phone(message):
if len(results) > 4:
print results
publisher.warning('{} contains PID (phone numbers)'.format(paste.p_name))
#Send to duplicate
p.populate_set_out(message)
if __name__ == '__main__':
# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)

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@ -1,6 +1,7 @@
import hashlib
import crcmod
import mmh3
import ssdeep
class Hash(object):
@ -32,4 +33,7 @@ class Hash(object):
elif self.name == "murmur":
hash = mmh3.hash(string)
elif self.name == "ssdeep":
hash = ssdeep.hash(string)
return hash

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@ -91,6 +91,7 @@ class Paste(object):
self.p_langage = None
self.p_nb_lines = None
self.p_max_length_line = None
self.p_duplicate = None
def get_p_content(self):
"""
@ -278,6 +279,10 @@ class Paste(object):
else:
return False, var
def _get_p_duplicate(self):
self.p_duplicate = self.store.hget(self.p_path, "p_duplicate")
return self.p_duplicate if self.p_duplicate is not None else []
def save_all_attributes_redis(self, key=None):
"""
Saving all the attributes in a "Redis-like" Database (Redis, LevelDB)

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@ -9,7 +9,7 @@ protocolstrending_csv = var/www/static/csv/protocolstrendingdata
protocolsfile = files/protocolsfile
tldstrending_csv = var/www/static/csv/tldstrendingdata
tldsfile = AILENV/faup/src/data/mozilla.tlds
tldsfile = faup/src/data/mozilla.tlds
domainstrending_csv = var/www/static/csv/domainstrendingdata
@ -25,6 +25,16 @@ max_preview_modal = 800
#Default number of header to display in trending graphs
default_display = 10
#### Modules ####
[Modules_Duplicates]
#Number of month to look back
maximum_month_range = 3
#The value where two pastes are considerate duplicate.
threshold_duplicate = 50
#Minimum size of the paste considered
min_paste_size = 0.3
##### Redis #####
[Redis_Cache]
host = localhost
@ -49,7 +59,7 @@ db = 1
##### LevelDB #####
[Redis_Level_DB]
host = localhost
port = 2013
port = 2016
db = 0
[Redis_Level_DB_Domain]
@ -59,7 +69,7 @@ db = 3
[Redis_Level_DB_Hashs]
host = localhost
port = 2013
port = 2016
db = 1
[Url]

View file

@ -2,8 +2,8 @@
subscribe = ZMQ_Global
publish = Redis_Global
#[Duplicates]
#subscribe = Redis_Global
[Duplicates]
subscribe = Redis_Duplicate
[Indexer]
subscribe = Redis_Global
@ -31,9 +31,11 @@ publish = Redis_CreditCards,Redis_Mail,Redis_Onion,Redis_Web,Redis_Credential
[CreditCards]
subscribe = Redis_CreditCards
publish = Redis_Duplicate
[Mail]
subscribe = Redis_Mail
publish = Redis_Duplicate
[Onion]
subscribe = Redis_Onion
@ -55,6 +57,7 @@ subscribe = Redis_Url
[Credential]
subscribe = Redis_Credential
publish = Redis_Duplicate
#[Cve]
#subscribe = Redis_Cve
@ -62,8 +65,11 @@ subscribe = Redis_Credential
#[SourceCode]
#subscribe = Redis_SourceCode
#[Phone]
#subscribe = Redis_Global
[Phone]
subscribe = Redis_Global
publish = Redis_Duplicate
[Keys]
subscribe = Redis_Global
publish = Redis_Duplicate
#[Keys]
#subscribe = Redis_Global

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@ -17,6 +17,7 @@ nltk
# Hashlib
crcmod
mmh3
ssdeep
#Others
python-magic

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@ -58,6 +58,21 @@ def list_len(s):
return len(s)
app.jinja_env.filters['list_len'] = list_len
def parseStringToList(the_string):
strList = ""
elemList = []
for c in the_string:
if c != ']':
if c != '[' and c !=' ' and c != '"':
strList += c
else:
the_list = strList.split(',')
if len(the_list) == 2:
elemList.append(the_list)
elif len(the_list) > 1:
elemList.append(the_list[1:])
strList = ""
return elemList
def showpaste(content_range):
requested_path = request.args.get('paste', '')
@ -71,10 +86,19 @@ def showpaste(content_range):
p_mime = paste.p_mime
p_lineinfo = paste.get_lines_info()
p_content = paste.get_p_content().decode('utf-8', 'ignore')
p_duplicate_full_list = parseStringToList(paste._get_p_duplicate())
p_duplicate_list = []
p_simil_list = []
for dup_list in p_duplicate_full_list:
path, simil_percent = dup_list
p_duplicate_list.append(path)
p_simil_list.append(simil_percent)
if content_range != 0:
p_content = p_content[0:content_range]
return render_template("show_saved_paste.html", date=p_date, source=p_source, encoding=p_encoding, language=p_language, size=p_size, mime=p_mime, lineinfo=p_lineinfo, content=p_content, initsize=len(p_content))
return render_template("show_saved_paste.html", date=p_date, source=p_source, encoding=p_encoding, language=p_language, size=p_size, mime=p_mime, lineinfo=p_lineinfo, content=p_content, initsize=len(p_content), duplicate_list = p_duplicate_list, simil_list = p_simil_list)
@app.route("/_logs")

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@ -1,3 +1,17 @@
function initfunc( csvay, scroot) {
window.csv = csvay;
window.scroot = scroot;
};
function update_values() {
$SCRIPT_ROOT = window.scroot ;
$.getJSON($SCRIPT_ROOT+"/_stuff",
function(data) {
window.glob_tabvar = data;
});
};
// Plot and update the number of processed pastes
$(function() {
var data = [];
@ -25,7 +39,7 @@ $(function() {
return res;
}
var updateInterval = 1000; //1s
var updateInterval = 1000;
var options = {
series: { shadowSize: 1 },
lines: { fill: true, fillColor: { colors: [ { opacity: 1 }, { opacity: 0.1 } ] }},

View file

@ -42,7 +42,17 @@
</table>
</div>
<div class="panel-body" id="panel-body">
<h4> Content: </h4>
{% if duplicate_list|length == 0 %}
<h4> No Duplicate </h4>
{% else %}
<h4> Duplicate list: </h4>
{% set i = 0 %}
{% for dup_path in duplicate_list %}
Similarity: {{ simil_list[i] }}% - <a target="_blank" href="{{ url_for('showsavedpaste') }}?paste={{ dup_path }}" id='dup_path'>{{ dup_path }}</a></br>
{% set i = i + 1 %}
{% endfor %}
{% endif %}
<h4> Content: </h4>
<p data-initsize="{{ initsize }}"> <xmp id="paste-holder">{{ content }}</xmp></p>
</div>
</div>