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Python: Why It Is Better For Cybersecurity in 2020

Ajay Kapoor's profile image

By: Ajay Kapoor

July 22, 2020

Do you know, hacker attacks occurs every 39 seconds? Yes, you read that right. And according to a recent web development statistic, nearly 64% of companies have experienced web-based attacks to date.

Cyber-attacks are now an international concern, as high-profile breaches have given rise to many serious concerns. Without any doubt, programming is an integral part of cybersecurity, especially as you progress in the field's advanced levels.

While the Python programming language has been around for a long time, it has become the focus of cybersecurity professionals in recent years. Cyber attackers use malicious code to alter computer data, resulting in disruptive consequences that can compromise the data and lead to cybercrimes.

It can be prevented by using the Python language. So, here in this article, you will get to know and understand why it is best to use Python for Cybersecurity. So, let's get started!

Benefits of Python for Cybersecurity

Among the numerous options available, Python is a preferred choice among cybersecurity professionals because it lessens development effort and the coder's learning curve. Several factors make them prefer Python as compared to other languages. Some of these are mentioned below:

  • Makes debugging easier

Python uses minimal code, it becomes easier for the programmer to debug the error and, at the same time, reduce the risk of language complexity and issues. Python's simple design and ease of use also increase its readability, which makes debugging code more straightforward, and it can take much less time to complete.

Python has a built-in debugger called pdb. It is a simple utility with a command-line interface that performs the main function. It has all the debugger features you will need.

If you want to look it up a bit, you can extend it using ipdb, which will provide the debugger with the features of IPython. The easiest way to use pdb is to call it in the code you’re working on.

import pdb; pdb.set_trace()

  • Easy to learn and implement

Python is deliberately designed to be simple, more comfortable to learn a programming language in comparison to other languages such as C or Java. It is much easier to code in Python. It is a user-friendly language that improves code readability, implementation, and syntax.

For example:

print('Hello World!')

As we can see that python’s syntax is much simpler than other programming languages. Even semicolons are not mandatory to use in python.

The fact is that Python often takes significantly less code as compared to other programming languages. There are outstanding tools available to work with python code, and it’s straightforward nature provides a smooth learning curve.

Free and Open-source

Python is designed as an open-source programming language, which means that anybody can contribute to improving it. Moreover, it is free to download and has a large community working continuously to make it even better.

Python is available to developers at zero cost. In turn, this makes it the preferred choice among many web development companies around the world. Also, the language is so simple to use that it increases its appeal to smaller teams.

Automatic memory management

Another significant advantage of Python is memory management. It has built-in memory management automatically by design. Python's memory management is executed internally by the Python memory manager.

This means that programmers and users need to worry less about memory management, including factors such as caching, memory allocation, and partitioning.

Why is Python better for Cybersecurity?

Python is an advantageous programming language for cybersecurity professionals because it can perform many cybersecurity functions, including malware analysis, scanning, and penetration testing functions.

Python has been at the forefront for many years. It is a general-purpose, server-side scripting language that has been used for thousands of security projects. Everything from testing microchips to building video games with PyGame, Python is the most sought after programming language for its power-packed capabilities.

Most of the security tools and PoCs you can find are written in Python, and it's easy to use. Let us now focus more intensely on why Python is so useful for the field of cybersecurity.

  1. Productivity and Speed

With an object-oriented design, this language provides advanced process control capabilities to its users. The language also has secure integration and text processing capabilities and its unit testing framework, which, in turn, helps improve its speed and productivity.

The use of Python facilitates experienced cyber professionals to implement their code without any hassle. Also, the flexibility and ease of use of Python end up being an excellent benefit for cybersecurity.

  1. Python extensively supports libraries

Python's extensive library of modules is a significant factor. Python is well known and widely used due to its vast library. It means that cybersecurity professionals do not need to reinvent the wheel with everyday tasks, and in most cases, Cybersecurity analysis or penetration testing tools can be found quickly.

  1. User-friendly Data Structures

Python has built-in list and dictionary data structures that can be used to construct runtime data structures. Besides, Python also offers the option of dynamic high-level data typing that reduces the length of support code required.

  1. Python develops scripts quickly.

Another advantage of Python that helps cyber professionals is that ease of code which means that cyber professionals can develop the solutions they need with the least amount of time, and with rather simple code. This means that errors in code are easy to find and correct and that cybersecurity professionals can quickly solve problems and challenges.

  1. Python is flexible

The ease with which Python can be used makes it possible to develop new applications as needed quickly and easily integrate previously used scripts and executables into new code.

Likewise, it can create or enhance modules in C, C ++, Java, or .NET and has scripting capabilities that can be embedded in other applications. All of this makes it much easier to respond to cybersecurity threats and avoid significant exploits in the first place.

  1. Python is used for developing anything in cybersecurity

With a strong understanding of Python, cybersecurity professionals can complete any task that requires them to use Python code. For example, Python is used for malware analysis, host discovery, sending and decoding packets, accessing servers, port scanning, and network scanning.

Also, keeping in mind that Python is so useful in scripting, automated tasks, and data analysis, it makes sense that Python has grown in popularity as cybercity became more critical.

  1. Network Port Scanning

Typically, the nmap tool is used to implement network port scanning, but it can be implemented without any third-party tool, using Python socket programming.

In Kali Linux, many tools are available for digital forensics related to networks, but many implementations can be done using Python programming with only a few lines of instruction.

Here, I will create a collection of simple Python scripts to start with your security testing.

import socket from concurrent import futures

def check_port(targetIp, portNumber, timeout): TCPsock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) TCPsock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) TCPsock.settimeout(timeout) try: TCPsock.connect((targetIp, portNumber)) return (portNumber) except: return

def port_scanner(targetIp, timeout): threadPoolSize = 500 portsToCheck = 10000

executor = futures.ThreadPoolExecutor(max_workers=threadPoolSize) checks = [ executor.submit(check_port, targetIp, port, timeout) for port in range(0, portsToCheck, 1) ]

for response in futures.as_completed(checks): if (response.result()): print('Listening on port: {}'.format(response.result()))

def main(): targetIp = input("Enter the target IP address: ") timeout = int(input("How long before the connection times out: ")) port_scanner(targetIp, timeout)

if name == "main": main()


If we execute this script, we’ll see which ports on the target machine are listening and potentially vulnerable for an exploit. I ran it against a popular IoT device, which I have attached to my local network, and received some interesting results.

If we execute this script, we will see which ports are listening on the target machine and potentially vulnerable to any exploitation.

Final Words

Many of the reasons mentioned above may make you prefer Python for cybersecurity over any other programming languages. Using Python is a typical move by cybersecurity professionals due to factors like better response time, user-friendly data structure, and security.

Therefore, you can hire a python developer to ensure security and better performance. They will help you create a quick response to a cyber-attack using Python and its treasure of libraries.

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