Python ARP欺骗检测软件:实时监控网络安全
使用Python编写ARP欺骗检测软件
本软件可以检测常见的网络攻击,包括ICMP洪泛攻击、TCP攻击和ARP欺骗攻击,并记录攻击源和网络活动主机信息。此外,它还提供用户登录和注册功能,并具有友好的用户界面,方便用户操作。
1. 安装必要的Python库
首先,需要安装相关的Python库,包括Scapy和PyQt5。可以使用以下命令安装:
pip install scapy
pip install PyQt5
2. 编写主程序
主程序包括登录和注册界面,以及整个程序的流程控制。以下是一个简单的示例:
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QLineEdit, QPushButton, QMessageBox
from scapy.all import *
import threading
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.login_label = QLabel('Login', self)
self.login_label.move(20, 20)
self.username_label = QLabel('Username:', self)
self.username_label.move(20, 50)
self.username_edit = QLineEdit(self)
self.username_edit.move(100, 50)
self.password_label = QLabel('Password:', self)
self.password_label.move(20, 80)
self.password_edit = QLineEdit(self)
self.password_edit.setEchoMode(QLineEdit.Password)
self.password_edit.move(100, 80)
self.login_button = QPushButton('Login', self)
self.login_button.move(20, 120)
self.login_button.clicked.connect(self.login)
self.register_button = QPushButton('Register', self)
self.register_button.move(120, 120)
self.register_button.clicked.connect(self.register)
self.setGeometry(100, 100, 250, 200)
self.setWindowTitle('ARP Detection')
def login(self):
username = self.username_edit.text()
password = self.password_edit.text()
# TODO: Check username and password
self.show_main_window()
def register(self):
username = self.username_edit.text()
password = self.password_edit.text()
# TODO: Register new user
self.show_main_window()
def show_main_window(self):
self.hide()
main_window = QMainWindow()
main_window.setGeometry(100, 100, 500, 400)
main_window.setWindowTitle('ARP Detection')
self.status_label = QLabel('Status: Idle', main_window)
self.status_label.move(20, 20)
self.scan_button = QPushButton('Scan', main_window)
self.scan_button.move(20, 50)
self.scan_button.clicked.connect(self.scan)
self.attack_type_label = QLabel('Attack Type: None', main_window)
self.attack_type_label.move(20, 80)
self.attack_source_label = QLabel('Attack Source: None', main_window)
self.attack_source_label.move(20, 110)
self.hosts_label = QLabel('Hosts:', main_window)
self.hosts_label.move(20, 140)
self.hosts_list = QLabel('', main_window)
self.hosts_list.move(20, 170)
main_window.show()
def scan(self):
self.status_label.setText('Status: Scanning...')
# TODO: Scan network and update hosts_list
self.detect_icmp_flood()
self.detect_tcp_attack()
self.detect_arp_spoofing()
self.status_label.setText('Status: Idle')
def detect_icmp_flood(self):
# TODO: Detect ICMP flood attack
self.attack_type_label.setText('Attack Type: ICMP Flood')
self.attack_source_label.setText('Attack Source: 192.168.1.1')
def detect_tcp_attack(self):
# TODO: Detect TCP attack
self.attack_type_label.setText('Attack Type: TCP Attack')
self.attack_source_label.setText('Attack Source: 192.168.1.2')
def detect_arp_spoofing(self):
# TODO: Detect ARP spoofing attack
self.attack_type_label.setText('Attack Type: ARP Spoofing')
self.attack_source_label.setText('Attack Source: 192.168.1.3')
if __name__ == '__main__':
app = QApplication([])
main_window = MainWindow()
main_window.show()
app.exec_()
3. 使用Scapy库检测攻击
在检测攻击时,可以使用Scapy库来发送和接收网络数据包。例如,在检测ICMP洪泛攻击时,可以使用以下代码:
def detect_icmp_flood(self):
packets = sniff(filter='icmp', count=100)
src_ips = [p[IP].src for p in packets]
src_ip_count = Counter(src_ips)
for src_ip, count in src_ip_count.items():
if count > 10:
self.attack_type_label.setText('Attack Type: ICMP Flood')
self.attack_source_label.setText(f'Attack Source: {src_ip}')
return
类似地,可以使用Scapy来检测TCP攻击和ARP欺骗攻击。
4. 记录攻击信息
最后,可以将所有的扫描和攻击记录保存在本地文件中,例如:
with open('log.txt', 'a') as f:
f.write(f'Scan result: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
')
f.write(f'Hosts:
{self.hosts_list.text()}
')
f.write(f'Attack Type: {self.attack_type_label.text()}
')
f.write(f'Attack Source: {self.attack_source_label.text()}
')
f.write('
')
5. 打包成可执行文件
最后,可以使用PyInstaller等工具将Python程序打包成可执行文件,以便在其他机器上运行。
总结
本软件提供了一个简单的ARP欺骗检测的框架,可以根据实际需求进行扩展和改进。例如,可以添加更多攻击类型检测,使用更复杂的算法来提高检测精度,或者使用数据库来存储攻击记录等。
希望本教程对您有所帮助!
原文地址: https://www.cveoy.top/t/topic/jnSE 著作权归作者所有。请勿转载和采集!