Are you an international student who is passionate on researching about python for cyber security? Do you worry that you might not be getting the right information you required? You needn’t worry that you might not be getting the right information needed, as this article brings you latest and trusted information on python for cyber security.
Use the information here to find out about python for cyber security together with information on python for cyber security pdf, python for cyber security books, python for cyber security courses, python for cyber security — lesson 2, python for cyber security — lesson 3, python for cyber security udemy, python for cyber security tutorial. More information can be found on collegelearners.
Python for Cybersecurity Specialization
Master Python for a variety of cybersecurity tasks. This Specialization provides an application-driven introduction to using Python for cybersecurity.4.7.
What You Will Learn
- Develop custom Python scripts to automate cybersecurity tasks.
- Apply Python to meet objectives through the cybersecurity attack lifecycle.
- Automate common cyberattack and defense activities with Python.
Skills You Will Gain
About this Specialization
13,398 recent views
Python is one of the most popular and widely-used programming languages in the world due to its high usability and large collection of libraries. This learning path provides an application-driven introduction to using Python for cybersecurity. Python can help to automate tasks across the cyberattack life cycle for both cyber attackers and defenders. This Specialization demonstrates some of these applications and how Python can be used to make cybersecurity professionals more efficient and effective.
Applied Learning Project
Learners will acquire the technical skills needs to develop custom Python scripts to automate cybersecurity tasks. The challenges in this project involve developing or modifying Python code to address cybersecurity use cases drawn from MITRE ATT&CK and Shield.Shareable CertificateEarn a Certificate upon completion100% online coursesStart instantly and learn at your own schedule.Flexible ScheduleSet and maintain flexible deadlines.Intermediate Level
Coursera gives me the flexibility I need to take courses on my own time.— Chelsea R.
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.— Jennifer J.
The design courses I took on Coursera gave me the tools I needed to propel my career into a new direction.— Sara P.
Coursera gives me the flexibility I need to take courses on my own time.— Chelsea R.
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.— Jennifer J.
The design courses I took on Coursera gave me the tools I needed to propel my career into a new direction.— Sara P.
Coursera gives me the flexibility I need to take courses on my own time.— Chelsea R.
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.— Jennifer J.
The design courses I took on Coursera gave me the tools I needed to propel my career into a new direction.— Sar
How the Specialization Works
Take Courses
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Hands-on Project
Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.
5 Big Reasons Python is Useful in Cybersecurity
Without a doubt, programming is an important part of cybersecurity, especially as you progress into intermediate and advanced levels of the field. While the Python programming language has been around for quite a while, it’s really become the focus of cybersecurity professionals in recent years. Many people interested in the cybersecurity field want to know if Python is a good programming language to know for cybersecurity, and if it’s a language that they take the time to should learn.
Is Python good for cybersecurity? Python is an extremely useful programming language for cybersecurity professionals because it can perform a multitude of cybersecurity functions, including malware analysis, scanning, and penetration testing tasks. Python is often recommended as the first language people new to cybersecurity should learn because of its wide use and minimal learning curve.
Now that we’ve established that Python is a go-to language in cybersecurity, let’s talk about the specific benefits of Python, what makes it so useful for cybersecurity, and why you should take the time to learn the Python programming language.
Ready to Learn Cyber?
Get FREE Cyber Lessons, FREE Courses, Career Info and Special Offers emailed to you each week.SIGN UP FOR THE WEEKLY NEWSLETTER
We won’t sell or share your email address. See our terms and privacy policy.
The Benefits of Python
The design and functionality of the Python programming language give it many benefits that have made it a go-to programming language for a lot of fields, such as data science, mathematical computation, web development, and of course, cybersecurity. Let’s take a look at the benefits of Python now.
Python is easy to learn and implement.
Python was intentionally designed to be a straightforward, easy, and generally lightweight programming language that would require minimal code to accomplish tasks compared to other languages. The fact is that Python often takes substantially less code than what would otherwise be required of other programming languages, such as C or Java. The nature of Python’s straightforward structure means a shorter learning curve for anyone working with the language, especially those new to programming.
Python makes debugging easier.
We’ve covered the fact that the structure of Python makes it easier to learn and implement, but that basic nature has other benefits as well. The straightforward design of Python and ease of use also increases its readability, Increased readability also makes debugging code far more straightforward, which means that even lower level or beginner programmers can troubleshoot and debug their own code pretty effectively and that debugging can take much less time overall to complete.
Python is open source.
Python was developed as an open-source programming language, similar to how Linux is an open-source operating system. The open-source nature of Python lends itself to a strong community of developers that support the language and move it forward. Since python is open source, there is a great deal of information available, and using the language is free.
Automatic memory management.
Another benefit of Python that some people don’t consider is that it has memory management built-in automatically by design. Python’s memory management is performed internally by the Python memory manager. This means that the programmer and the user need to have less concern about memory management, including factors as caching, memory allocation, and segmentation.
Python’s Usefulness in Cybersecurity
We’ve discussed above the benefits of the Python programming language, and that it’s used in many fields. Let’s now take a deeper look at why Python is so useful for the field of cybersecurity.
Cybersecurity professionals can get up to speed quickly.
Because Python has a generally short learning curve, it has become the programming language of preference for those in the cybersecurity field, many of whom have a limited programming background. Python ease of use means that any experienced cybersecurity professional that has built up a relatively strong technical background can learn the basics of the Python language and start programming and implementing their code quickly.
Cybersecurity teams can form quickly.
Another benefit of Python’s ease of use and short learning curve means that not only can cybersecurity professionals get up to speed quickly on the programming language, but that cybersecurity teams can also form quickly to work on a project, even if all of the members of the team do not have a coding background. Consider how much more limited a cybersecurity team would be if they had to rely on the group understanding a more difficult language, like Java. The flexibility and ease of use of Python end up being a great benefit for cybersecurity managers that need to lead teams and Implement projects quickly.
Python’s extensive library means cybersecurity tools are already available.
As we’ve described above, Python’s ease of use is certainly one of the most important factors that make it a go-to language for cybersecurity professionals. But certainly, Python’s extensive library of modules is a leading factor as well. Python has become well known and heavily used, because of its extensive library, which means cybersecurity professionals don’t need to reinvent the wheel with common tasks and in most cases can quickly find cybersecurity analysis or penetration testing tool already available.
Python can be used for nearly anything in cybersecurity.
With a strong understanding of Python and programming concepts in general, cybersecurity professionals can accomplish just about any task that they need using Python code. For example, Python is used heavily in malware analysis, host discovery, the sending and decoding of packets, accessing servers, port scanning, and network scanning, just to name a few. Considering also that Python is so effective at scripting, automating tasks, and data analysis, it is understandable that Python has risen in popularity as cybersecurity has become more important.
Scripts in Python can be developed quickly
Another benefit of Python that helps cybersecurity professionals is that the ease of the code means that cyber pros can develop solutions that they need with a minimal amount of time, and with rather simplistic code. This means that errors in code are easier to find and correct and that cybersecurity professionals can solve problems and challenges quickly.
Why You Should Learn Python
Python is a great first language to learn.
Python serves well as a gateway language that can help you learn other object-oriented languages later on, and can even help you learn languages that technically aren’t object-oriented. Since Python has such an easy learning curve and is so debugger friendly, it is a great first step before you move on to Java, C, PHP, or any other language that is commonly used.
Plenty of free learning resources.
The Internet has a lot of free Python resources available, including videos and sample projects. Given the massive amount of material available online for free, just about anyone can gain a working knowledge Python without taking a class.
Python is impressive to employers.
Employers value and respect just about any well-known programming language that you can include on your resume, but Python seems to hold a special place in employers’ minds, perhaps because fewer people know the language, and because of the flood of Python use in recent years. Several recent studies have even listed Python as the number one in-demand technical skill sought by employers.
Everything To Know About Python For Cyber Security (2021)
- What is Cyber Security?
- Cyber Security – Significance and Purpose
- Cyber Security Threats
- Python Programming Language – Introduction and Benefits
- Python for Cyber Security – Purpose and Benefits
1. What Is Cyber Security?
Cyber Security is the practice of defending and protecting computer systems, mobile devices, data, networks, and servers from disruptive malicious attacks. It also ensures protection from misdirection or disruption from the services provided by them. A data breach leads to the loss of billions of dollars to companies and can also result in other destructive consequences for the employees or other people.
Cyber Security has become an international concern now because of the high-profile data breaches which have occurred, thereby raising serious concerns. From startups to tech giants, almost all companies have started emphasizing the importance of security, which is why Cyber Security has become one of the most in-demand fields.
The new and evolving Cyber Security threats day by day has put the information security industry alarmed on high alert. Even more sophisticated cyber-attacks involving phishing, malware, cryptocurrency, and ML and AI have placed the enterprises’ assets and data in jeopardy. The cybercrime epidemic is continually rising, and the stakes are even much higher, leading to an increased potential for:
- Distortion: The intentional transmission of misinformation through chatbots and automated sources causes integrity trust of the information to be compromised.
- Disruption: We rely on delicate connectivity which further creates the possibility of heightening the risk of ransomware being used to hijack IoT.
- Deterioration: Speedy advancements in smart technologies and contrary demands posed by the individual privacy regulations and national security negatively affect enterprise’s ability to protect their information.
Cyber Security– Significance And Purpose
The Importance of Cyber Security is rising day by day. Sensitive and confidential information like social security numbers, bank account, and credit card details are now stored in Cloud storage devices such as Google Drive and Dropbox.
- Cyber Attacks affect the entire society.
- Cyber Security is going to be a boom to the entire world.
- Cyber Threats cause damage to businesses and loss of jobs.
- New regulations and legislation can be incorporated to protect individuals from potential attacks.
Strong network security with an effective incident response plan in an organization ensures mitigation and prevention of cyber threats. For instance, end-user protection safeguards against cyber thefts or loss of data while scanning computer systems for malignant code. The enterprise stakeholders need to remain up-to-date with the emerging technologies and threats to protect valuable assets and information from any kind of cyber threats.
Cyber Security Threaths
The types of Cyber Security threats are many, which are described below:
- Phishing: A fraudulent or fake party sends a mail or some form of communication that appears to arrive from an authentic or reputed source. It demands the victim some sensitive and confidential information such as bank or credit card details. The victim unintentionally enters and submits the information, and the attacker or the fraud gets access to all the information. Therefore, phishing can be very dangerous and may lead to severe consequences.
- Malware: Malware is a common form of cyber-attack these days. It is a kind of dangerous or malicious software that breaches a network through some vulnerability. On being installed in the system or network, it ruptures the functionality and steals data.
- Man-in-the-middle attack: The attacker invades in the middle of a two-party transaction or conversation via malware or insecure Wi-Fi networks and swipes out valuable data to accomplish the task.
- Cyber-Physical Attacks: The same technology which has modernized and automated our infrastructure also brings us danger. Everything has become more vulnerable, representing even more of it in the future, with the ongoing threats of hacking transportation systems, electrical grids, water treatment facilities, and many more.
- IoT Attacks: The Internet of Things (IoT) is found everywhere now and is going on maintaining and existing its existence day by day. It comprises laptops, smartphones, webcams, routers, smartwatches, automobiles, medical devices, household appliances, and even home security systems. Connected devices are in great demand today as they come in handy for the consumers, posing a greater risk. They make IoT connections more vulnerable to cyber invasions. IoT devices, once hacked, can create havoc and serious fallouts.
- Password Attacks: A cyber attacker can obtain a wealth of information through the right password. There are a few types of password attacks like social engineering, outright guessing, or accessing a password database. Hackers rely on human interaction and trick people into breaking standard security practices.
- SQL Injection: A cyber-attack that happens with the insertion of malignant code into a server using SQL. The server reveals confidential information when infected.
- Denial of Service: A Denial of Service (DoS) is a kind of cyber threat that chokes a computer network so it cannot answer the requests.
Python Programming Language – Introduction And Benefits
Python as a programming language has been quite a lot popular now, with its growth being incredible over the past few years. It has been dominating the Cyber Security industry and has been around for a long time now. In recent years, it has even become the focus of Cyber Security professionals. Python supports syntax, which is simple and understandable and has a wide range of applications making it a versatile programming language.
There are a number of factors that make Python for cyber security a preferable language among the Cyber Security professionals. The factors are listed below:
- Easy to learn, understand and implement: Python is quite simple to learn, design, and implement, making it a more comfortable programming language. It’s a user-friendly language meant to enhance syntax, implementation, and code readability.
- Python is a free and open-source programming language: It’s designed as a complete open-source programming language, making it accessible for anybody to improve it further. It’s free to download as well.
- It makes code debugging simpler: Python requires minimal coding because of the several in-built libraries present to perform some functionality, making it easier for the programmer to debug the code for errors, at the same time, decreasing the risk of language issues.
- Extensive support libraries and user-friendly data structures: Python incorporates large libraries supporting extensive functionality and features such as string operations, protocols, and web services tools. This puts a limit on the length of code to be written by the programmers, thereby reducing bugs. It also encompasses data structures like in-built lists and dictionaries. It reduces the length of high-level data typing, thereby reducing the length of support code required.
- Python ensures speed and productivity: The main reasons behind this language’s speed and productivity are the advanced control and text processing capabilities provided to the users. The experienced Cyber Security professionals find it implementing it as a hassle-free code.
- It supports automatic memory management: Python supports in-built memory management features automatically by design. The programmers remain less concerned about the factors like partitioning, memory allocation, and caching.
Python For Cyber Security – Purpose And Benefits
Python is a general-purpose, server-side scripting language implemented by thousands of security projects. Some of the functionalities supported using Python’s base programming do not require any third-party tools, examples of which are given below:
- Attacks simulation
- Port Scanning
- Web Server Fingerprinting
- Access to mail servers
- Load generation and website testing
- Wireless network scanning
- Traffic transmission in the network
- Intrusion detection and prevention systems
To be an efficient Cyber Security professional, you need to build an effective portfolio and develop software, for which you need to equip yourself with the right Python frameworks and libraries prevalent in the industry.
- Automation Tools: The day-to-day tasks of a security professional involve writing effective Python scripts to automate the tasks. Python is recommended because of its easy syntax and wide range of supported libraries with a lot of functionality. You need to acquaint yourself with Python’s automation tools as most of the security tasks require you to apply the same operation across several endpoints. The automation process reduces not only time but also errors to a great extent.
- Regex: Regex refers to regular expressions, and this tool enables you to search for specific patterns within some text. You can extract information from log files while investigating or scraping from the Internet using Regex. You can even locate IP addresses to detect the hacking activity by combining regex with other Python libraries for Cyber Security.
- Pyperclip: You can directly access the clipboard from your Python scripts using Pyperclip in a very simple and efficient manner. It’s precisely helpful for the scripts containing extremely large bodies of statements.
- Pen Testing: Pen Testing or Penetration Testing is the process of trying to hack into a system, network, or software to test security. This is a very important application of Python in Cyber Security. Professionals need to create their scripts and tools to achieve this effect.
- Network Port Scanning: Python Nmap tool is used for network port scanning using Python Socket Programming regardless of any third-party tool.
- Packet Sniffing: Tools such as Wireshark or simply written Python scripts can be used for achieving Packet Sniffing. You require NIC to implement promiscuous mode in case of sniffing traffic on your local network.
- Socket Programming: Socket Programming in Python requires the package socket to be imported first and then invoked by related methods.
- Geolocation Extraction: The ‘pygeoip’ module is responsible for extracting an IP address’s real-time location using Google APIs and Python.
- Real-time Extraction from Social Media: You can use Python scripts for Cyber Security for downloading real-time live data from various social media platforms.
FINAL THOUGHTS
Cyber Security has become extremely mandatory with an increase in the severity of cyber-attacks and technological advancements. As a resourceful language, Python has become immensely useful in Cyber Security as it supports and performs a multitude of Cyber Security functions such as malware analysis, scanning, and penetration testing functions.
If you would like to study more on this topic, here are some references and source materials provided for you:
Python for Cybersecurity — Lesson 1: Introduction to Python
Welcome to my first blog in the Python for Cybersecurity web course!
Wondering why specific focus is being given to cybersecurity or why should you bother? Well, the answer is pretty simple.
“You are only secure until you believe you are secure.”
Not making much sense, is it? In simple words, there is nothing secure in the internet — This is the bitter truth!
If someone says otherwise, do not believe them.
In most cases, much emphasis does not go into the security aspect of developing any product, solution or application, which backfires on the organization involved, when someone finally gains control of their resources and network through some simple vulnerability that existed. With the realization dawning on most of the organizations and companies, from startups to tech giants, all have started to emphasize on the importance of security. Thus cybersecurity has become one of the most in-demand fields.
Ever seen the following map before?
This live map in the norsecorp website gives you real-time information of which countries are currently being cyber-attacked! This is just one of those avenues to understand how the importance of enhancing cybersecurity in everything we build is the need of the hour — rather, need of the minute!
Now that we have made a little sense of why cybersecurity is important, let us dive into our first lesson!
In this lesson, we will learn about why Python is one of the most in-demand skills among cybersecurity recruits and also try to learn and understand the fundamentals of the language.
Python For CyberSecurity: Why Is It Better In 2020?
Do you know, hacker attack occurs every 39 seconds? Yes, you read that right. According to a recent web development stats, nearly 64% of companies have experienced web-based attacks to date. Python For CyberSecurity
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 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:
#1. Python makes debugging easier cybersecurity with python
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.
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.
#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 in cybersecurity
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.
The Usefulness of Python in 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 Programmingpython in cybersecurity
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 Extractionpython in cybersecurity
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 python for cybersecurity
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 (packetSniffer.py) 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 packetInjection.py 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’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.
Leave a Reply