python解析发往本机的数据包示例 (解析数据包)

yipeiwu_com7年前Python基础

tcp.py

复制代码 代码如下:

# -*- coding: cp936 -*-
import socket
from struct import *
from time import ctime,sleep
from os import system

system('title tcp sniffer')
system('color 05')

# the public network interface
HOST = socket.gethostbyname(socket.gethostname())

# create a raw socket and bind it to the public interface
s = socket.socket(socket.AF_INET, socket.SOCK_RAW, socket.IPPROTO_IP)
s.bind((HOST, 0))

# Include IP headers
s.setsockopt(socket.IPPROTO_IP, socket.IP_HDRINCL, 1)

# receive all packages
#s.ioctl(socket.SIO_RCVALL, socket.RCVALL_ON)

# receive a package
while 1==1:
    packet = s.recvfrom(65565)
    packet = packet[0]

    ip_header = packet[0:20]
    iph = unpack('!BBHHHBBH4s4s',ip_header)
    version = iph[0] >> 4 #Version
    ihl = iph[0] * 0xF    #IHL
    iph_length = ihl * 4  #Total Length
    ttl = iph[5]
    protocol = iph[6]
    s_addr = socket.inet_ntoa(iph[8])
    d_addr = socket.inet_ntoa(iph[9])
    print ctime()
    print 'Version : ' + str(version) + ' IHL : ' + str(ihl) + ' Total Length: '+str(iph_length) + ' TTL : ' +str(ttl) + ' Protocol : ' + str(protocol) + ' Source Address : ' + str(s_addr) + ' Destination Address : ' + str(d_addr)

    if protocol == 6:
        tcp_header = packet[20:40]
        tcph = unpack('!HHLLBBHHH' , tcp_header)
        source_port = tcph[0]
        dest_port = tcph[1]
        sequence = tcph[2]
        acknowledgement = tcph[3]
        doff_reserved = tcph[4]
        tcph_length = doff_reserved >> 4
        print 'Source Port : ' + str(source_port) + ' Dest Port : ' + str(dest_port) + ' Sequence Number : ' + str(sequence) + ' Acknowledgement : ' + str(acknowledgement) + ' TCP header length : ' + str(tcph_length)

        data = packet[40:len(packet)]
        print 'Data : ' + data


# disabled promiscuous mode
s.ioctl(socket.SIO_RCVALL, socket.RCVALL_OFF)

udp.py

复制代码 代码如下:

# -*- coding: cp936 -*-
import socket
from struct import *
from time import ctime,sleep
from os import system

system('title udp sniffer')
system('color 05')
# the public network interface
HOST = socket.gethostbyname(socket.gethostname())

# create a raw socket and bind it to the public interface
s = socket.socket(socket.AF_INET, socket.SOCK_RAW, socket.IPPROTO_IP)
s.bind((HOST, 0))

# Include IP headers
s.setsockopt(socket.IPPROTO_IP, socket.IP_HDRINCL, 1)

# receive all packages
#s.ioctl(socket.SIO_RCVALL, socket.RCVALL_ON)

# receive a package
while 1==1:
    packet = s.recvfrom(65565)
    packet = packet[0]

    ip_header = packet[0:20]
    iph = unpack('!BBHHHBBH4s4s',ip_header)
    version = iph[0] >> 4 #Version
    ihl = iph[0] * 0xF    #IHL
    iph_length = ihl * 4  #Total Length
    ttl = iph[5]
    protocol = iph[6]
    s_addr = socket.inet_ntoa(iph[8])
    d_addr = socket.inet_ntoa(iph[9])

    if protocol == 17:
        udp_header = packet[20:28]
        udph = unpack('!HHHH' , udp_header)
        source_port = udph[0]
        dest_port = udph[1]
        length = udph[2]
        checksum = udph[3]
        data = packet[28:len(packet)]

        print ctime()
        print 'Version : ' + str(version) + ' IHL : ' + str(ihl) + ' Total Length: '+str(iph_length) + ' TTL : ' +str(ttl) + ' Protocol : ' + str(protocol) + ' Source Address : ' + str(s_addr) + ' Destination Address : ' + str(d_addr)
        print 'Source Port : ' + str(source_port) + ' Dest Port : ' + str(dest_port) + ' Length : ' + str(length) + ' Checksum : ' + str(checksum)
        print 'Data : ' + data

# disabled promiscuous mode
s.ioctl(socket.SIO_RCVALL, socket.RCVALL_OFF)

相关文章

解决python xx.py文件点击完之后一闪而过的问题

解决python xx.py文件点击完之后一闪而过的问题

1.问题复现: 有时候我们去点击.py文件 文件里明明有打印信息,却一闪而过,没有任何显示 比如以下内容 #!/usr/local/bin/python import sys pri...

使用pandas实现csv/excel sheet互相转换的方法

1. xlsx to csv: import pandas as pd def xlsx_to_csv_pd(): data_xls = pd.read_excel('1.xl...

python 寻找优化使成本函数最小的最优解的方法

今天来学习变量优化问题。寻找使成本函数最小的题解。适用于题解相互独立的情况,设计随机优化算法、爬山法、模拟退火算法、遗传算法。 优化问题的的精髓是:1、将题解转化为数字序列化,可以写出题...

python实现list由于numpy array的转换

实例如下所示: u = array([[1,2],[3,4]]) m = u.tolist() #转换为list m.remove(m[0]) #移除m[0] m = np.arra...

pytorch中的自定义数据处理详解

pytorch在数据中采用Dataset的数据保存方式,需要继承data.Dataset类,如果需要自己处理数据的话,需要实现两个基本方法。 :.getitem:返回一条数据或者一个样本...