Created
April 3, 2022 16:45
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Script para obtener datos sobre el trafico filtrado
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| import pandas as pd | |
| import subprocess | |
| import sys | |
| from os import path | |
| from progress.bar import Bar | |
| from collections import Counter | |
| import numpy as np | |
| import json | |
| if len(sys.argv) < 2: | |
| print("Uso" + sys.argv[0] + "captura.json") | |
| exit() | |
| frame_numbers = [] | |
| #Leemos los frame numbers generados por el script del pdf | |
| handle = open("frame_numbers.cache", "r") | |
| lines = handle.readlines() | |
| with Bar("Cargando paquetes desde cache...", max=len(lines)) as bar: | |
| for line in lines: | |
| frame_numbers.append(line.strip()) | |
| bar.next() | |
| handle.close() | |
| print("Leyendo archivo json...") | |
| file = open(sys.argv[1],"r",encoding="utf8") | |
| file_json = json.load(file) | |
| frame_lens = [] | |
| ip_lens = [] | |
| tcp_lens = [] | |
| for i in file_json: | |
| label = i['_source']['layers']['frame']['frame.number'] | |
| #Filtramos | |
| if label in frame_numbers: | |
| frame_lens.append(int( i['_source']['layers']['frame']['frame.len'])) | |
| ip_lens.append( int (i['_source']['layers']['ip']['ip.len']) ) | |
| tcp_lens.append(int(i['_source']['layers']['tcp']['tcp.len'])) | |
| #Estadisticas | |
| np_frame = np.array(frame_lens) | |
| np_ip = np.array(ip_lens) | |
| np_tcp = np.array(tcp_lens) | |
| print("Estadisticas de frame.len:") | |
| print("Media: " + str(np_frame.mean())) | |
| print("Desviacion estandar: " + str(np_frame.std())) | |
| print("###") | |
| print("Estadisticas de ip.len:") | |
| print("Media: " + str(np_ip.mean())) | |
| print("Desviacion estandar: " + str(np_ip.std())) | |
| print("###") | |
| print("Estadisticas de tcp.len:") | |
| print("Media: " + str(np_tcp.mean())) | |
| print("Desviacion estandar: " + str(np_tcp.std())) | |
| print("###") | |
| #Tipo de trafico | |
| tipos_trafico = [] | |
| for i in file_json: | |
| tipos_trafico.append(i['_source']['layers']['frame']['frame.protocols']) | |
| print("Tipos de trafico:") | |
| for value, count in Counter(tipos_trafico).most_common(): | |
| print(value, count) | |
| flags_ip = [] | |
| flags_tcp = [] | |
| for i in file_json: | |
| if 'ip' in i['_source']['layers']: | |
| flags_ip.append(i['_source']['layers']['ip']['ip.flags']) | |
| if 'tcp' in i['_source']['layers']: | |
| flags_tcp.append(i['_source']['layers']['tcp']['tcp.flags']) | |
| print("Flags IP:") | |
| for value, count in Counter(flags_ip).most_common(): | |
| print(value, count) | |
| print("Flags TCP:") | |
| for value, count in Counter(flags_tcp).most_common(): | |
| print(value, count) | |
| checksums_ip = [] | |
| checksums_tcp = [] | |
| #Checksums | |
| for i in file_json: | |
| if 'ip' in i['_source']['layers']: | |
| checksums_ip.append(i['_source']['layers']['ip']['ip.checksum.status']) | |
| if 'tcp' in i['_source']['layers']: | |
| checksums_tcp.append(i['_source']['layers']['tcp']['tcp.checksum.status']) | |
| print("Checksums IP:") | |
| for value, count in Counter(checksums_ip).most_common(): | |
| print(value, count) | |
| print("Checksums TCP:") | |
| for value, count in Counter(checksums_tcp).most_common(): | |
| print(value, count) | |
| #payloads | |
| tcp_payloads = [] | |
| for i in file_json: | |
| if 'tcp' in i['_source']['layers']: | |
| if 'tcp.payload' in i['_source']['layers']['tcp']: | |
| tcp_payloads.append(i['_source']['layers']['tcp']['tcp.payload']) | |
| print("Payloads TCP:") | |
| for value, count in Counter(tcp_payloads).most_common(): | |
| print(str(value) + " "+ str(count)) |
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