Protect web interfaces from Botnet attacks using Linux servers.

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Release: 2023-09-08 19:12:30
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Protect web interfaces from Botnet attacks using Linux servers.

Protect web interfaces from Botnet attacks using Linux servers

In web development and management, protecting web interfaces from Botnet (botnet) attacks is an important security tasks. Botnet attacks refer to hackers using a group of infected computers or devices to launch attacks and make large-scale malicious requests to web servers to overwhelm the server's resources and bandwidth, causing a denial of service (DoS) attack or a distributed denial of service (DoS). DDoS) attack.

In this article, we will introduce some methods of using Linux servers to protect web interfaces from Botnet attacks and provide relevant code examples.

  1. Turn on the firewall

First, we need to ensure that the firewall on the Linux server is turned on and configured correctly. Firewalls can filter and block requests from specific IP addresses or ranges of IP addresses. The following is an example of using the iptables command to turn on the firewall and allow requests only from specific IP addresses:

sudo iptables -A INPUT -p tcp -s 特定IP地址 -j ACCEPT
sudo iptables -A INPUT -p tcp -j DROP
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Please replace "specific IP addresses" with the IP addresses you allow.

  1. Using Fail2Ban

Fail2Ban is a popular tool used to prevent malicious logins and brute force attacks. It monitors the server's log files and automatically blocks requests from that IP address after detecting multiple failed login attempts. Here is an example of how to install and configure Fail2Ban on a Linux server:

sudo apt-get install fail2ban

sudo vi /etc/fail2ban/jail.local
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Add the following content to the jail.local file:

[http-get-dos]
enabled = true
port = http,https
filter = http-get-dos
logpath = /var/log/apache2/access.log
maxretry = 100
findtime = 60
bantime = 600
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Save the file and exit, then restart the Fail2Ban service:

sudo service fail2ban restart
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  1. Configuring the Web Server

In order to further protect the Web interface from Botnet attacks, we can configure some additional security measures on the Web server. The following is an example of configuring a reverse proxy and limiting frequency using the Apache server:

sudo a2enmod proxy
sudo a2enmod proxy_http

sudo vi /etc/apache2/conf-available/security.conf
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Add the following content in the security.conf file:

<IfModule mod_reqtimeout.c>
  RequestReadTimeout header=20-40,MinRate=500
</IfModule>

<Proxy *>
  Order deny,allow
  Deny from all
  Allow from 特定IP地址
</Proxy>

ProxyPass / http://localhost:8000/
ProxyPassReverse / http://localhost:8000/
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Save the file and exit, then reload the Apache server Configuration:

sudo service apache2 reload
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Please replace "Specific IP Address" with your allowed IP address.

  1. Use Verification Codes

To prevent malicious robots from botnet attacks from automating requests, we can further strengthen security by implementing verification codes. The following is an example of implementing captcha protection using the Python Flask framework:

from flask import Flask, request, render_template
from flask_wtf import FlaskForm, RecaptchaField
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired

app = Flask(__name__)
app.config['SECRET_KEY'] = 'your_secret_key'
app.config['RECAPTCHA_PUBLIC_KEY'] = 'your_recaptcha_public_key'
app.config['RECAPTCHA_PRIVATE_KEY'] = 'your_recaptcha_private_key'

class MyForm(FlaskForm):
    name = StringField('Name', validators=[DataRequired()])
    recaptcha = RecaptchaField()
    submit = SubmitField('Submit')

@app.route('/', methods=['GET', 'POST'])
def index():
    form = MyForm()
    if form.validate_on_submit():
        return 'Success!'
    return render_template('index.html', form=form)

if __name__ == '__main__':
    app.run()
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Please make sure you have set the correct secret key and captcha key in your Flask application.

Through the above measures, we can effectively protect the web interface from Botnet attacks. However, please remember that security is an ongoing process and we need to constantly update and improve our protective measures to protect the data security of our servers and users.

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