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我在速度方面比较 scapy 和 dpkt。我有一个包含 pcap 文件的目录，我解析并计算每个文件中的 http 请求。这是scapy代码：

import time
from scapy.all import *

def parse(f):
 x = 0
 pcap = rdpcap(f)
 for p in pcap:
    try:
        if p.haslayer(TCP) and p.getlayer(TCP).dport == 80 and p.haslayer(Raw):
            x = x + 1
    except:
        continue
print x

if __name__ == '__main__':\

  path = '/home/pcaps'
  start = time.time()
  for file in os.listdir(path):
    current = os.path.join(path, file)
    print current
    f = open(current)
    parse(f)
    f.close()
 end = time.time()
 print (end - start)

与 dpkt 版本相比，该脚本真的很慢（几分钟后卡住了）：

import dpkt
import time
from os import walk
import os
import sys


def parse(f):
 x = 0
 try:
    pcap = dpkt.pcap.Reader(f)
 except:
    print "Invalid Header"
    return
 for ts, buf in pcap:
        try:
            eth = dpkt.ethernet.Ethernet(buf)
        except:
            continue
        if eth.type != 2048:
             continue
        try:
            ip = eth.data
        except:
            continue

        if ip.p == 6:
            if type(eth.data) == dpkt.ip.IP:
                tcp = ip.data


                if tcp.dport == 80:
                    try:
                        http = dpkt.http.Request(tcp.data)
                        x = x+1
                    except:
                        continue

print x

if __name__ == '__main__':

path = '/home/pcaps'
start = time.time()
for file in os.listdir(path):
    current = os.path.join(path, file)
    print current
    f = open(current)
    parse(f)
    f.close()
end = time.time()
print (end - start)

所以我使用scapy的方式有问题吗？还是只是 scapy 比 dpkt 慢？

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0 回答 0