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Linux Server Network Security: Real-time Detection and Response to Web Interface Attacks.

Sep 08, 2023 pm 07:04 PM

Linux Server Network Security: Real-time Detection and Response to Web Interface Attacks.

Linux Server Network Security: Real-time Detection and Response of Web Interface Attacks

Abstract:
With the popularity and development of Web applications, Web interface attacks have also Increasingly rampant. In order to protect the network security of the server, this article introduces a real-time detection and response method for web interface attacks on Linux servers. By analyzing request traffic, a rule-based detection engine is used to detect web interface attacks in real time, and an implementation solution based on Nginx and ModSecurity is introduced with code examples.

  1. Introduction
    With the rapid development of the Internet, Web applications have become the main way for people to obtain information and communicate. However, network security risks continue to increase, and web interface attacks have become a common threat in the Internet field. To protect your server's network security, timely detection and response to web interface attacks is crucial.
  2. Types of Web interface attacks
    Web interface attacks include but are not limited to SQL injection, cross-site scripting attacks (XSS), cross-site request forgery (CSRF), and access control flaws. These attack methods can directly cause data leakage and damage to the server, and can also further attack other systems or users.
  3. Rule-based Web interface attack detection engine
    Rule-based detection engine is a common Web interface attack detection method. It analyzes and matches request traffic by defining a series of rules to detect various attack behaviors in real time. The following is a simple rule example:

Rule 1: Detect SQL injection attacks
Matching pattern: 'OR '1'='1
Action: Intercept the request and record the IP address

Rule 2: Detect XSS attacks
Match pattern: <script>alert('XSS')</script>
Action: Intercept the request and record the IP address

Rule 3: Detect CSRF attacks
Matching pattern: Linux Server Network Security: Real-time Detection and Response to Web Interface Attacks.
Action: Intercept the request and record the IP address

  1. Implementation solution based on Nginx and ModSecurity
    Nginx is a high-performance web server and reverse proxy server, and ModSecurity is an open source web application firewall (WAF) module. Combining the two can achieve real-time detection and response to web interface attacks. The following is an implementation example based on Nginx and ModSecurity:

Sample code 1: Nginx configuration file

server {
    listen 80;
    server_name example.com;
    
    location / {
        ModSecurityEnabled on;
        ModSecurityConfig modsecurity.conf;
        
        proxy_pass http://backend;
    }
}
Copy after login

Sample code 2: ModSecurity configuration file (modsecurity.conf)

SecRuleEngine On

SecRule REQUEST_FILENAME "@rx /login.php" 
    "id:1,rev:1,phase:2,deny,status:403,msg:'SQL Injection attack detected'"
    
SecRule REQUEST_FILENAME "@rx /index.php" 
    "id:2,rev:1,phase:2,deny,status:403,msg:'XSS attack detected'"
    
SecRule REQUEST_FILENAME "@rx /logout.php" 
    "id:3,rev:1,phase:2,deny,status:403,msg:'CSRF attack detected'"
Copy after login

In the above example, the ModSecurity module is enabled in the Nginx configuration file and the ModSecurity configuration file is specified. Three rules are defined in the ModSecurity configuration file to detect SQL injection attacks, XSS attacks and CSRF attacks respectively.

  1. Conclusion
    Web interface attacks have become one of the important threats to Linux server network security. In order to protect the network security of the server, this article introduces a real-time detection and response method for web interface attacks on Linux servers. Through the rule-based detection engine, combined with the implementation of Nginx and ModSecurity, various web interface attacks can be effectively detected and blocked. In practical applications, we can define more rules according to specific needs, and continuously update and maintain the rule base to respond to changing network security threats.

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