Python For CyberSecurity: Why Is It Better In 2022?

python for cybersecurity

Do you know, a hacker attack occurs every 39 seconds? Yes, you read that right. According to recent web development stats, 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 advanced levels of the field. 

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 cybercrime.

It can be prevented if you use Python language. So, here in this article, we will be telling you the top five benefits of Python and why it will be best to use Python for Cybersecurity. So, let’s get started!

Top Five Benefits of Python for Cybersecurity

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:

Also Read: Node.js vs. Python

#1. Python makes debugging easier

Since 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.

python code

We as a python web development company also ensures maximum scalability & protection by employing advanced security measures like high-security plugins, data encryption, secure admin dashboard, etc.

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#2. 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:


As we can clearly 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 its straightforward nature provides a smooth learning curve.

#3. 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 that is 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.

#4. 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.

#5. 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.

Also Read: Python for Business Analytics – A New Era of Revolution

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The Usefulness of Python for CyberSecurity

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

It is user-friendly and has an elegant simplicity, making it the perfect language choice for many cybersecurity professionals. 

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.

Using Python’s base programming, any of the following can be done without using any other third-party tools:

  • Web server fingerprinting
  • Simulation of attacks
  • Port scanning
  • Website cloning
  • Load generation and testing of a website
  • Creating intrusion detection and prevention systems
  • Wireless network scanning
  • Transmission of traffic in the network
  • Accessing mail servers.

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. Socket Programming

Socket programming is in-built with Python. To work with socket programming, the package socket is first imported and then related methods can be called. The Python installation comes with an in-built IDLE GUI.

2. Network Port Scanning

Typically, the Nmap tool is used for the implementation of 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 of these implementations can be done using Python programming with only a few lines of instruction.

Here, we have mentioned a collection of simple Python scripts so that you can start with your security testing.

If we execute this script, we’ll see which ports on the target machine are listening and potentially vulnerable for an exploit. We ran it against a popular IoT device, which we 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. 

3. Geolocation Extraction

The real-time location of an IP address can be extracted using Python and Google APIs with the use of pygeoip module.

First, import the GeoIP database from the URL: Geolite2 Database

Once the database is loaded and mapped with a Python installation, any IP address can be scanned with global visibility and location. For example:

4. Real-time Extraction from Social Media

Live and real-time data from social media platforms can be downloaded using Python scripts. In Python, there are many modules and extensions that can be interfaced with WhatsApp, Twitter, Facebook, LinkedIn, and many other platforms.

5. Packet Sniffing

Packet sniffing is essentially putting a wiretap on a system. You can use a tool like Wireshark or can write a simple Python script ( to get similar results.

If you need to sniff traffic on your local network, you will need your NIC to use promiscuous mode, and this may require additional permission.

6. TCP Packet Injection

Once you sniff out web packets from one device to another, you can create packets that have the same headers and use a script like by putting updated information in the packet.

Some examples using this approach include denial-of-service and man-in-the-middle attacks. You can manipulate the contents of packages at the edge of the network to prevent or adjust the flow of information.

7. Python Extensively Supports Libraries

python 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 reinforce the wheel with everyday tasks, and in most cases, Cybersecurity analysis or penetration testing tools can be found quickly. 

8. 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 ASP DOT 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.

9. 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 cybersecurity became more critical.

The above pointers provide some primary examples in which you can leverage Python’s elegant simplicity to validate the security of your applications before proceeding with deployment.

Final Words

We hope the blog has given you a fair idea about why Python is better for cybersecurity. Python is extremely useful in cybersecurity as it performs a multitude of cybersecurity functions such as scanning and malware analysis. 

So, keeping all the above perks of Python in mind, you can hire a python developer in India to secure your web application. They will ensure security and better performance of your website and help in creating a quick response to any cyber-attack.

Also Read: Artificial Intelligence in Cybersecurity


Frequently Asked Questions

Q1. Can I use Python for securing my web application?

A-1: Yes, Python can be used for securing almost anything. Python also has advanced security measures, which makes it a perfect fit for Cybersecurity.

Q2. What are the uses and applications of Python?

A-2:  Python is used across various fields along with many technologies and frameworks. It is widely used in Machine learning, Game Development, and Web Development.

Q3. Where can I hire a Python developer?

A-3: You can hire the best Python developers from PixelCrayons. The company has completed over 13800+ projects which is enough to tell how experienced and skilled the developers at PixelCrayons are.

Q4. Why is Python better for Cybersecurity?

A-4: Python is one of the most in-demand programming languages ​​for cybercity. From testing microchips on Intel to powering Instagram, to building video games with PyGame, Python is the most demanding language for its superior capabilities.

Q5. What to do if there is any issue while developing a Python-based web app? 

A-5: You can build analysis tools with Python, protect systems and web apps from vulnerabilities, and more. If you face any issue while developing a Python-based web app, you can always contact our customer support for any assistance. Feel free to email us anytime, and we will get back to you immediately.

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