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role_generator.py
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role_generator.py
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#!python
# -*- coding: utf-8 -*-
# @author: Kun
'''
Author: Kun
Date: 2021-09-16 11:21:47
LastEditTime: 2021-09-23 17:56:16
LastEditors: Kun
Description:
FilePath: /ThreatReportExtractor/role_generator.py
'''
from nlp_extractor.subject_verb_object_extract import SubjectVerbObjectExtractor
# nlp = spacy.load("en_core_web_lg")
from allennlp.predictors.predictor import Predictor
from nltk.stem.wordnet import WordNetLemmatizer
from preprocessings import *
from data_loader.ioc_loader import iocs
from data_loader.pattern_loader import load_lists
from project_config import SEC_PATTERNS_FILE_PATH
# main_verbs = load_lists(SEC_PATTERNS_FILE_PATH)['verbs']
# main_verbs = main_verbs.replace("'", "").strip('][').split(', ')
class RoleGenerator(object):
def __init__(self, nlp, main_verbs) -> None:
super(RoleGenerator, self).__init__()
self.nlp = nlp # self.svo_extractor.nlp
self.svo_extractor = SubjectVerbObjectExtractor(nlp)
self.main_verbs = main_verbs
def colon_seprator_multiplication(self, stri):
print("[colon_seprator_multiplication] stri: ", stri)
coref_reference_list = load_lists(SEC_PATTERNS_FILE_PATH)['TFL']
coref_reference_list = coref_reference_list.replace(
"'", "").strip('][').split(', ')
stri = stri.rstrip()
stri = stri.rstrip('.')
result = ""
for item in sent_tokenize(stri):
flag = False
for refrence in coref_reference_list:
if refrence in item and ":" in item:
sentence_splits = item.split(":", 1)
y = iocs.list_of_iocs(item.split(":", 1)[1])
if y:
sentence_replicas = [
sentence_splits[0].rstrip(":")] * len(y)
for i in range(len(sentence_replicas)):
result += sentence_replicas[i].replace(
refrence, y[i]) + " . "
else:
item = sentence_splits[0].replace(
refrence, sentence_splits[1])
result += item
flag = True
break
if flag == False:
result += item
result += " "
print("[colon_seprator_multiplication] result: ", result)
if result.rstrip("")[-1] != ".":
result += "."
return result
def roles(self, sentences):
my_svo_triplet = []
all_nodes = []
for i in range(len(sentences)):
# public SRL model https://s3-us-west-2.amazonaws.com/allennlp/models/srl-model-2018.05.25.tar.gz
predictor = Predictor.from_path("srl-model.tar.gz")
predictions = predictor.predict(sentences[i])
lst = []
nodes = []
for k in predictions['verbs']:
if k['description'].count('[') > 1:
lst.append(k['description'])
for jj in range(len(lst)):
nodes.append([])
for j in re.findall(r"[^[]*\[([^]]*)\]", lst[jj]):
nodes[jj].append(j)
print("*****sentence:", sentences[i], '*****nodes: ', nodes)
for lis_ in nodes:
for indx in range(len(lis_)):
if lis_[0].split(":", 1)[0].lower().strip() == "v" and lis_[0].split(":", 1)[1].lower().strip() in self.main_verbs:
n = len(lis_)
for j in range(1, len(lis_)):
if lis_[j].split(":", 1)[0].lower() != "v":
if len(iocs.list_of_iocs(lis_[j].split(":", 1)[1])) > 0:
lis_.insert(0, " ARG-NEW: *")
maxlength = 0
if nodes:
maxlength = max((len(i) for i in nodes))
if nodes == [] or maxlength < 3:
print("****DP SVO****")
tokens = self.nlp(sentences[i])
svos = self.svo_extractor.findSVOs(tokens)
if svos:
for sv in range(len(svos)):
if len(svos[sv]) == 3:
print('Dependency SVO(s):', [
"ARG0: " + svos[sv][0], "V: " + svos[sv][1], "ARG1: " + svos[sv][2]])
nodes.append(
["ARG0: " + svos[sv][0], "V: " + svos[sv][1], "ARG1: " + svos[sv][2]])
print("Dependency-SVO added nodes: ", nodes)
print("****Naive SVO****")
breakers = []
subj, obj = '', ''
doc = self.nlp(sentences[i])
for token in doc:
if token.pos_ == 'VERB':
breakers.append(str(token))
if len(breakers) != 0:
for vb in breakers:
subj = "subj: " + sentences[i].split(vb)[0]
obj = "obj: " + sentences[i].split(vb)[1]
vrb = "v: " + vb
lst = []
lst.append(subj)
lst.append(vrb)
lst.append(obj)
nodes.append(lst)
print("Naive Nodes: ", nodes)
if nodes != []:
zero_dunplicate_removed = []
for i in nodes:
zero_dunplicate_removed.append(list(dict.fromkeys(i)))
no_zero_nodes = []
for i in zero_dunplicate_removed:
if '.' in i:
i.remove('.')
no_zero_nodes.append(i)
else:
no_zero_nodes = zero_dunplicate_removed
no_zero_nodes_plus_3 = []
for i in no_zero_nodes:
if len(i) > 2:
no_zero_nodes_plus_3.append(i)
removeable_items_list = ['both', 'also', 'that', 'would', 'could', 'immediately', 'usually', 'for',
'when', 'then', 'will', 'which', 'first', 'second', 'third', 'forth',
'fifth', 'internally', 'where', 'while', 'either', 'nither', 'when',
'sever', 'successfully', 'also', 'to', 'above', 'already', 'recently',
'may', 'however', 'can', 'once loaded', 'in fact', 'in this way', 'all',
'actually', 'inadvertently', 'instead', 'when copying themselves',
'automatically', 'should', 'can', 'could', 'necessarily', 'if found',
'randomly', 'again', 'still', 'generally', 'slowly', 'ever', 'shall', 'newly', 'However',
'when executed', 'subsequently']
# lammarizer
for i in range(len(no_zero_nodes_plus_3)):
for index, item in enumerate(no_zero_nodes_plus_3[i]):
if item.split(': ')[0] == 'V':
word = item.split(': ')[1]
no_zero_nodes_plus_3[i][index] = "V: " + WordNetLemmatizer(
).lemmatize(item.split(": ")[1].lower(), 'v')
for i in range(len(no_zero_nodes_plus_3)):
if no_zero_nodes_plus_3[i]:
for index, item in enumerate(no_zero_nodes_plus_3[i]):
if 'ARGM-MOD:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-ADV:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-TMP:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-MNR:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'R-ARG1:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'R-ARG0:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-DIS:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-PRP:' in item:
if item.split(': ', 1)[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
for i in range(len(no_zero_nodes_plus_3)):
if no_zero_nodes_plus_3[i]:
for index, item in enumerate(no_zero_nodes_plus_3[i]):
if 'ARGM-MOD:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-ADV:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-TMP:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'ARGM-MNR:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'R-ARG1:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
if 'R-ARG0:' in item:
if item.split(': ')[1].lower() in removeable_items_list:
del no_zero_nodes_plus_3[i][index]
else:
print("##### NEW Exception: ", item)
v_unlink = ['delete', 'clear', 'remove',
'erase', 'wipe', 'purge', 'expunge']
v_write = ['entrench', 'exfiltrate', 'store', 'drop', 'drops', 'install', 'place', 'deploy', 'implant', 'write', 'putfile', 'compose',
'create', 'creates', 'copy', 'copies', 'save', 'saved', 'saves', 'add', 'adds', 'modify', 'modifies', 'append', 'appends']
v_read = ['survey', 'download', 'navigate', 'locate', 'read', 'gather', 'extract', 'extracts',
'obtain', 'acquire', 'check', 'checks', 'detect', 'detects', 'record', 'records']
v_exec = ['use', 'execute', 'executed', 'run', 'ran', 'launch', 'call', 'perform',
'list', 'invoke', 'inject', 'open', 'opened', 'target', 'resume', 'exec']
v_mmap = ['allocate', 'assign']
v_fork = ['clone', 'clones', 'spawned',
'spawn', 'spawns', 'issue', 'set']
v_setuid = ['elevate', 'impersonated']
v_send = ['send', 'sent', 'transfer', 'post', 'postsinformation',
'postsinformations', 'move', 'transmit', 'deliver', 'push', 'redirect', 'redirects']
v_receive = ['receive', 'accept',
'take', 'get', 'gets', 'collect']
v_connect = ['click', 'browse', 'browses', 'connect', 'connected',
'portscan', 'connects', 'alerts', 'communicates', 'communicate']
v_chmod = ['chmod', 'change permission', 'changes permission',
'permision-modifies', 'modifies permission', 'modify permission']
v_load = ['load', 'loads']
v_exit = ['terminate', 'terminates', 'stop', 'stops',
'end', 'finish', 'break off', 'abort', 'conclude']
v_2D = {'collect': ('read', 'receive'),
'open': ('exec', 'fork')}
for i in range(len(no_zero_nodes_plus_3)):
for index, item in enumerate(no_zero_nodes_plus_3[i]):
if item.split(': ')[0] == 'V':
if item.split(': ')[1] in v_unlink:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'unlink'
elif item.split(': ')[1] in v_write:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'write'
elif item.split(': ')[1] in v_read:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'read'
elif item.split(': ')[1] in v_exec:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'exec'
elif item.split(': ')[1] in v_mmap:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'mmap'
elif item.split(': ')[1] in v_fork:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'fork'
elif item.split(': ')[1] in v_setuid:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'setuid'
elif item.split(': ')[1] in v_send:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'send'
elif item.split(': ')[1] in v_receive:
no_zero_nodes_plus_3[i][index] = 'V: ' + \
'receive'
elif item.split(': ')[1] in v_connect:
no_zero_nodes_plus_3[i][index] = 'V: ' + \
'connect'
elif item.split(': ')[1] in v_chmod:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'chmod'
elif item.split(': ')[1] in v_load:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'load'
elif item.split(': ')[1] in v_exit:
no_zero_nodes_plus_3[i][index] = 'V: ' + 'exit'
else:
continue
all_nodes += no_zero_nodes_plus_3
if my_svo_triplet:
all_nodes += my_svo_triplet
print('*****all_nodes:::', all_nodes)
return all_nodes
def fix_srl_spacing(self, li):
new_lst = []
for i in li:
x = []
for j in i:
files = re.findall(load_patterns(
RE_PATTERNS_FILE_PATH)['*_extension'], j)
if files:
for k in files:
j = j.replace(k, re.sub(' ', ' *', k))
x.append(j)
else:
x.append(j)
new_lst.append(x)
return new_lst
def negation_clauses(self, srl_input):
conditional_clause = ['if', 'otherwise', 'when']
purged = []
purged[:] = [
x for x in srl_input if "ARGM-NEG" in str(x) if "if" and "when" not in str(x).lower()]
positive_sentences = [i for i in srl_input if i not in purged]
return positive_sentences
####################################################################################
def group_partials(self, strings):
try:
s = ''
it = iter(sorted(strings))
prev = next(it)
for s in it:
if s.find(prev) == -1:
yield prev
prev = s
yield s
except StopIteration:
return
def process_convert(self, lst):
lst = ["/-" + i.strip() + "-/" for i in lst]
return [i.replace(" ", "-") for i in lst]
####################################################################################
def astriks(self, lis):
apps_process = load_lists(SEC_PATTERNS_FILE_PATH)['APPs-PROCESS']
apps_process = apps_process.replace("'", "").strip('][').split(' , ')
updated_list = [[] for x in range(len(lis))]
for jj, lst in enumerate(lis):
for i in range(len(lst)):
if ":" not in lst[i]:
lst[i] = "TMP: " + lst[i]
leftnode = lst[i].split(":", 1)[0]
rightnode = lst[i].split(":", 1)[1]
lOFioc = iocs.list_of_iocs(rightnode)
found_app = [
app for app in apps_process if app in rightnode.lower()]
if len(found_app) > 1:
found_app = list(self.group_partials(found_app))
found_app = self.process_convert(found_app)
else:
found_app = self.process_convert(found_app)
if not lOFioc:
if leftnode.lower() != "v" and not found_app:
updated_list[jj].append(leftnode + ": *")
elif leftnode.lower() == "v":
updated_list[jj].append(lst[i])
elif leftnode.lower() != "v" and found_app:
for process in found_app:
updated_list[jj].append(leftnode + ": " + process)
elif len(lOFioc) == 1:
updated_list[jj].append(leftnode + ": " + lOFioc[0])
elif len(lOFioc) >= 2:
updated_list[jj].append(leftnode + ": " + lOFioc[0])
for index in range(1, len(lOFioc)):
updated_list[jj].append("ARG-NEW: " + lOFioc[index])
return updated_list
####################################################################################
def triplet_builder(self, mylist):
triplet = []
for i in range(len(mylist)):
xv = mylist[i]
if len(mylist[i]) > 3:
for index, value in enumerate(mylist[i]):
l = len(mylist[i])
if "v" in value.lower() and index != 0 and index != l-1:
for k in mylist[i][:index]:
for j in mylist[i][index+1:]:
triplet.append((k, value, j))
elif len(mylist[i]) == 3:
triplet.append(mylist[i])
return list(map(list, triplet))
####################################################################################