Cybersecurity is a critical field, and Python is a popular programming language for developing tools and projects in this domain.
Code Description: Packet Capture: We use scapy.sniff() to capture packets in real time. The packet_callback() function will be called for each packet to analyze it and look for suspicious signs.
Frequent Request Detection: We monitor the number of requests from each IP. If one IP makes too many requests in a short time, it may be a sign of a DDoS attack, and the system adds this IP to the suspicious list.
Suspicious Port Detection: We check the ports to which packets are sent. If these are ports that are often used for attacks (for example, port 21 - FTP, port 23 - Telnet), the system will notify about suspicious traffic.
Alert: When the system detects a suspicious IP or port, it will print a corresponding message to the console.
Further Improvements: Snort Rules: In a real IDS system, more complex Snort rules can be integrated to detect attacks. This will require either using an external library to interpret Snort rules or writing your own parser.
Log storage: Add saving of suspicious events to a file or database for further analysis.
Automatic blocking of attackers: Implement the ability to block suspicious IPs using built-in firewall mechanisms (for example, using iptables on Linux).
Processing various types of attacks: Add additional methods to detect other types of attacks, such as port scanning, ARP spoofing, etc.
This approach allows you to create a simple but effective system for monitoring and protecting against certain types of attacks.
The basic scanner will check for:
SQL Injection: By injecting simple payloads into parameters.
Cross-Site Scripting (XSS): By injecting script tags into inputs.
Directory Traversal: Checking if the app is vulnerable to path traversal attacks.
Security Headers: Checking for missing HTTP security headers like X-Content-Type-Options, X-Frame-Options, and Strict-Transport-Security.
