SCAPY是一个发送伪造网络数据包的工具,最近在做功能测试的时候用到了,本来还以为就简单一个伪造工具,看了功能list才发现还是十分强大的
直接通过pip安装
sudo pip install --upgrade scapy
可能还会缺少下面两个
sudo pip install --upgrade pcapy sudo pip install --upgrade dnet
安装完import应该就OK了
$ python Python 2.7.10 (default, Jun 10 2015, 19:42:47) [GCC 4.2.1 Compatible Apple LLVM 6.1.0 (clang-602.0.53)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from scapy.all import * WARNING: No route found for IPv6 destination :: (no default route?)
但是这里有一个IPv6的WARNING,咋们又用不上这玩意,不需要的话直接模块里注释掉,找到下面这个文件
XXXX/site-packages/scapy/all.py
将下面三行注释掉
26 if conf.ipv6_enabled: 27 from utils6 import * 28 from route6 import *
可以列出来所有函数
>>> from scapy.all import * >>> lsc() arpcachepoison : Poison target's cache with (your MAC,victim's IP) couple arping : Send ARP who-has requests to determine which hosts are up bind_layers : Bind 2 layers on some specific fields' values bridge_and_sniff : Forward traffic between two interfaces and sniff packets exchanged corrupt_bits : Flip a given percentage or number of bits from a string corrupt_bytes : Corrupt a given percentage or number of bytes from a string defrag : defrag(plist) -> ([not fragmented], [defragmented], defragment : defrag(plist) -> plist defragmented as much as possible dyndns_add : Send a DNS add message to a nameserver for "name" to have a new "rdata" dyndns_del : Send a DNS delete message to a nameserver for "name" etherleak : Exploit Etherleak flaw fragment : Fragment a big IP datagram fuzz : Transform a layer into a fuzzy layer by replacing some default values by random objects getmacbyip : Return MAC address corresponding to a given IP address hexdiff : Show differences between 2 binary strings hexdump : -- hexedit : -- is_promisc : Try to guess if target is in Promisc mode. The target is provided by its ip. linehexdump : -- ls : List available layers, or infos on a given layer promiscping : Send ARP who-has requests to determine which hosts are in promiscuous mode rdpcap : Read a pcap file and return a packet list send : Send packets at layer 3 sendp : Send packets at layer 2 sendpfast : Send packets at layer 2 using tcpreplay for performance sniff : Sniff packets split_layers : Split 2 layers previously bound sr : Send and receive packets at layer 3 sr1 : Send packets at layer 3 and return only the first answer srbt : send and receive using a bluetooth socket srbt1 : send and receive 1 packet using a bluetooth socket srflood : Flood and receive packets at layer 3 srloop : Send a packet at layer 3 in loop and print the answer each time srp : Send and receive packets at layer 2 srp1 : Send and receive packets at layer 2 and return only the first answer srpflood : Flood and receive packets at layer 2 srploop : Send a packet at layer 2 in loop and print the answer each time traceroute : Instant TCP traceroute tshark : Sniff packets and print them calling pkt.show(), a bit like text wireshark wireshark : Run wireshark on a list of packets wrpcap : Write a list of packets to a pcap file >>>
可以看到send和sendp,是可以将包发出去;除此之外,还有receive,arping等,甚至还有shark,wireshark等,可以瞧瞧到底是如何格式化输出的
首先来个简单的,指定dst ip发送一个ICMP包
>>> send(IP(dst = '10.8.156.157')/ICMP()) . Sent 1 packets.
接收端
# tshark -i eth0 -R 'ip.src == 10.8.156.156' tshark: Lua: Error during loading: [string "/usr/share/wireshark/init.lua"]:45: dofile has been disabled Running as user "root" and group "root". This could be dangerous. Capturing on eth0 3.344753 10.8.156.156 -> 10.8.156.157 ICMP 42 Echo (ping) request id=0x0000, seq=0/0, ttl=64
下面伪造个IP,将包发出去
>>> send(IP(src = '1.1.1.1', dst = '10.8.156.157')/ICMP()) . Sent 1 packets. >>>
接收端
Capturing on eth0 12.025786 1.1.1.1 -> 10.8.156.157 ICMP 42 Echo (ping) request id=0x0000, seq=0/0, ttl=64
这里接收端,直接用scapy的sniff来接收试试
>>> packet = sniff(filter = 'icmp and host 1.1.1.1') ^C>>> packet.show () 0000 Ether / IP / TCP 10.8.156.157:ssh > 10.8.156.155:52069 PA / Raw 0001 Ether / IP / TCP 10.8.156.155:52069 > 10.8.156.157:ssh A 0002 Ether / IP / ICMP 1.1.1.1 > 10.8.156.157 echo-request 0
这里将ssh的包也抓下来了,原因暂时未明,海可以offline解析数据包
看到了一个内存泄露的帖子
http://blog.xsecure.cn/index.php/post/use_scapy_in_python.html
讲的比较详细,也比较有意思
最后,这里有篇超详细的文档,图文并茂
http://www.secdev.org/projects/scapy/demo.html