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autoscan.py
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import processCheckingNu
import subprocess
import pandas
import userassist
#import autoscan
import re
from pandas import DataFrame
from userassist import *
from pandas import DataFrame
from userassist import *
dir_path = os.path.dirname(os.path.realpath(__file__))
file1 = dir_path + r'\csvFiles\imgs\MalAnomaly.txt'
file2 = dir_path + r'\csvFiles\imgs\MalAnomaly1.csv'
path_to_process = dir_path + r'\csvFiles\process_cmd.csv'
filename = dir_path + r'\ML\cmdModel.sav'
vectfile = dir_path + r'\ML\vecFile.sav'
path2 = dir_path + r'\csvFiles\imgs\processTrace.csv'
def analysis():
"""
Auto analyse memory images.
"""
pandas.set_option('display.max_rows', 30000)
pd.options.display.max_colwidth = 10000
frame = pd.read_csv(path_to_process, delimiter="\t", names=["PID", "Process", "Argu"], encoding='cp1252' ,header=None)
file = open(path2, 'r')
df_f = pd.read_csv(file, delimiter="\t",
names=["PID", "PPID", "ImageFileName", "Offset", "Threads", "Handles", "SessionId", "Wow64",
"CreateTime", "ExitTime"], header=None)
file.close()
with open(file1, 'r') as f:
all_lines = [line for line in f if ".exe" in line]
#print (targets)
f.close()
with open(file2, "w") as f2:
for line in all_lines:
f2.writelines(line)
f2.close()
name = ['n1','n2','n3','n4','n5','n6','n7','n8', 'n9', 'n10']
df_col = pd.read_csv(file2, delimiter="\t", encoding='utf-8', header=None, names=name )
ps_numbers= df_col['n1']
process = ps_numbers.drop_duplicates()
process_df = pd.DataFrame(process, index=None)
ps_string = process_df.values.flatten()
for item in map(str, ps_string):
print (Fore.YELLOW + '\nInformation about process Number '+Fore.RED + item )
processCheckingNu.process_cmd_find(frame, item.strip())
process_trace(item.strip(), df_f)
processCheckingNu.forward_p(item.strip(), df_f)
def process_trace(p, df_f):
df= df_f
process = p
s = processCheckingNu.scan_through(process=p, df=df)
data = s[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(index=False, header=False)
data = list(data.split())
# print (data)
s0 = processCheckingNu.scan_through(data[2], df)
lis = list()
lis.append(data[1])
if s0.empty or data[2] == '4' or data[2] == data[1]:
print(Fore.YELLOW + '\n\nProcess traceability coupled with time executions of each process\n')
print(Fore.WHITE)
print('Process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + '\n' + ' has a root process of ' + ' ' + data[2])
print(Fore.GREEN)
else:
data1 = data[2]
# print (data1)
s1 = processCheckingNu.scan_through(data1, df)
data1 = s1[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(index=False, header=False)
data1 = list(data1.split())
s1 = processCheckingNu.scan_through(data1[2], df)
# print(data1)
lis.append(data1[1])
if s1.empty or data1[2] == '4' or data1[2] in lis:
print(Fore.YELLOW + '\n\nProcess traceability coupled with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[4] + ' root process is ' + ' ' + data1[2])
print(Fore.GREEN)
else:
data2 = data1[2]
# print(data2)
s2 = processCheckingNu.scan_through(data2, df)
data2 = s2[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(index=False,
header=False)
data2 = list(data2.split())
s2 = processCheckingNu.scan_through(data2[2], df)
# print(data2)
lis.append(data2[1])
if s2.empty or data2[2] == '4' or data2[2] in lis:
print(Fore.YELLOW + '\n\nProcess traceability coupled with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[3] + '-' +
data2[4] + ' root process is ' + ' ' + data2[2])
print(Fore.GREEN)
else:
data3 = data2[2]
# print(data3)
s3 = processCheckingNu.scan_through(data3, df)
data3 = s3[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(index=False,
header=False)
data3 = list(data3.split())
s3 = processCheckingNu.scan_through(data3[2], df)
# print(data3)
lis.append(data3[1])
if s3.empty or data3[2] == '4' or data3[2] in lis:
print(Fore.YELLOW + '\n\nProcess traceability coupled with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' +
data2[4] + ' <- ' + data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' + data3[4]
+ ' root process is ' + ' ' + data3[2])
print(Fore.GREEN)
else:
data4 = data3[2]
# print(data4)
s4 = processCheckingNu.scan_through(data4, df)
data4 = s4[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(index=False,
header=False)
data4 = list(data4.split())
s4 = processCheckingNu.scan_through(data4[2], df)
# print(data4)
lis.append(data4[1])
if s4.empty or data4[2] == '4' or data4[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' + data2[4] + ' <- ' + data3[0] + '(' + data3[1] + ')' + '/' + data3[
3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4]
+ ' ' + ' root process is ' + ' ' + data4[2])
print(Fore.GREEN)
else:
data5 = data4[2]
# print(data5)
s5 = processCheckingNu.scan_through(data5, df)
data5 = s5[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(
index=False,
header=False)
data5 = list(data5.split())
s5 = processCheckingNu.scan_through(data5[2], df)
# print(data5)
lis.append(data5[1])
if s5.empty or data5[2] == '4' or data5[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability '
'coupled with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' +
data2[
3] + '-' + data2[4] + ' <- ' + data3[0] + '(' + data3[1] + ')' + '/' + data3[
3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4] + ' <- ' + data5[0] + '(' + data5[1] + ')' + '/' + data5[
3] + '-' + data5[4]
+ ' root process is ' + ' ' + data5[2])
print(Fore.GREEN)
else:
data6 = data5[2]
# print(data6)
s6 = processCheckingNu.scan_through(data6, df)
data6 = s6[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(
index=False, header=False)
data6 = list(data6.split())
s6 = processCheckingNu.scan_through(data6[2], df)
# print(data6)
lis.append(data6[1])
if s6.empty or data6[2] == '4' or data6[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled '
'with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[1] + ')' + '/' +
data1[3] + '-' + data1[
4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' + data2[4] + ' <- ' +
data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4] + ' <- ' +
data5[0] + '(' + data5[1] + ')' + '/' + data5[3] + '-' + data5[
4] + ' <- ' + data6[0] + '(' + data6[1] + ')' + '/' + data6[
3] + '-' + data6[4]
+ ' root process is ' + ' ' + data6[2])
print(Fore.GREEN)
else:
data7 = data6[2]
# print(data7)
s7 = processCheckingNu.scan_through(data7, df)
data7 = s7[['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(
index=False, header=False)
data7 = list(data7.split())
s7 = processCheckingNu.scan_through(data7[2], df)
# print(data7)
lis.append(data7[1])
if s7.empty or data7[2] == '4' or data7[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled'
' with time executions of each process\n')
print(Fore.WHITE)
print(
'process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' + data1[0] + '(' + data1[
1] + ')' + '/' + data1[3] + '-' + data1[
4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' + data2[4] + ' <- ' +
data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4] + ' <- ' +
data5[0] + '(' + data5[1] + ')' + '/' + data5[3] + '-' + data5[
4] + ' <- ' + data6[0] + '(' + data6[1] + ')' + '/' + data6[
3] + '-' + data6[4] + ' <- ' + data7[0] + '(' +
data7[1] + ')' + '/' + data7[3] + '-' + data7[4]
+ ' root process is ' + ' ' +
data7[2])
# print ('\n')
print(Fore.GREEN)
else:
data8 = data7[2]
# print(data8)
s8 = processCheckingNu.scan_through(data8, df)
data8 = s8[
['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(
index=False, header=False)
data8 = list(data8.split())
s8 = processCheckingNu.scan_through(data8[2], df)
# print(data8)
lis.append(data8[1])
if s8.empty or data8[2] == '4' or data8[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled '
'with time executions of each process\n')
print(Fore.WHITE)
print(
'process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' + data[
4] + ' executed by ' + '\n' + ' ' +
data1[0] + '(' + data1[1] + ')' + '/' + data1[3] + '-' + data1[
4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' + data2[4] + ' <- ' +
data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4] + ' <- ' +
data5[0] + '(' + data5[1] + ')' + '/' + data5[3] + '-' + data5[
4] + ' <- ' + data6[0] + '(' + data6[1] + ')' + '/' + data6[
3] + '-' + data6[4] + ' <- ' + data7[0] + '(' +
data7[1] + ')' + '/' + data7[3] + '-' + data7[4] + ' <- ' + data8[
0] + '(' + data8[1] + ')' + '/' + data8[3] + '-' + data8[4]
+ ' root process is ' +
data8[2])
# print ('\n')
print(Fore.GREEN)
else:
data9 = data8[2]
# print(data9)
s9 = processCheckingNu.scan_through(data9, df)
data9 = s9[
['ImageFileName', 'PID', 'PPID', "CreateTime", "ExitTime"]].to_string(
index=False, header=False)
data9 = list(data9.split())
s9 = processCheckingNu.scan_through(data9[2], df)
# print(data9)
lis.append(data9[1])
if s9.empty or data9[2] == '4' or data9[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled'
' with time executions of each process\n')
print(Fore.WHITE)
print('process ' + data[0] + '(' + process + ')' + '/' + data[3] + '-' +
data[4] + ' executed by ' + '\n' + ' ' +
data1[0] + '(' + data1[1] + ')' + '/' + data1[3] + '-' + data1[
4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' + data2[
3] + '-' + data2[4] + ' <- ' +
data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' + data3[
4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' + data4[
3] + '-' + data4[4] + ' <- ' +
data5[0] + '(' + data5[1] + ')' + '/' + data5[3] + '-' + data5[
4] + ' <- ' + data6[0] + '(' + data6[1] + ')' + '/' + data6[
3] + '-' + data6[4] + ' <- ' + data7[0] + '(' +
data7[1] + ')' + '/' + data7[3] + '-' + data7[4] + ' <- ' + data8[
0] + '(' + data8[1] + ')' + '/' + data8[3] + '-' + data8[
4] + ' <- ' + data9[0] + '(' + data9[1] + ')' + '/' + data9[
3] + '-' + data9[4] + ' root process is ' + ' ' +
data9[2])
# print ('\n')
print(Fore.GREEN)
else:
data10 = data9[2]
# print(data10)
s10 = processCheckingNu.scan_through(data10, df)
data10 = s10[['ImageFileName', 'PID', 'PPID', "CreateTime",
"ExitTime"]].to_string(index=False, header=False)
data10 = list(data10.split())
s10 = processCheckingNu.scan_through(data10[2], df)
# print(data10)
lis.append(data10[1])
if s10.empty or data10[2] == '4' or data10[2] in lis:
print(
Fore.YELLOW + '\n\nProcess traceability coupled '
'with time executions of each process\n')
print(Fore.WHITE)
print('\n')
print('process ' + data[0] + '(' + process + ')' + '/' + data[
3] + '-' + data[4] + ' excuted by ' + '\n' + ' ' +
data1[0] + '(' + data1[1] + ')' + '/' + data1[3] + '-' +
data1[4] + ' <- ' + data2[0] + '(' + data2[1] + ')' + '/' +
data2[3] + '-' + data2[4] + ' <- ' +
data3[0] + '(' + data3[1] + ')' + '/' + data3[3] + '-' +
data3[4] + ' <- ' + data4[0] + '(' + data4[1] + ')' + '/' +
data4[3] + '-' + data4[4] + ' <- ' +
data5[0] + '(' + data5[1] + ')' + '/' + data5[3] + '-' +
data5[4] + ' <- ' + data6[0] + '(' + data6[1] + ')' + '/' +
data6[3] + '-' + data6[4] + ' <- ' + data7[0] + '(' +
data7[1] + ')' + '/' + data7[3] + '-' + data7[4] + ' <- ' +
data8[0] + '(' + data8[1] + ')' + '/' + data8[3] + '-' +
data8[4] + ' <- ' + data9[0] + '(' + data9[1] + ')' + '/' +
data9[3] + '-' + data9[4]
+ ' <- ' + data10[0] + '(' + data10[1]
+ ')' + '/' + data10[3] + '-' + data10[
4] + ' root process is ' + ' ' + data10[2])
print(Fore.GREEN)
else:
print('\n')
print('\nTraceability: Maximum of 10 proceeses')
return 0