Things to know about moral hacking in python - Python has become a hacker’s best tool due to powerful libraries and effiicient scripting performance. Learn how python is being used in ethical …
It is common practice amongst ethical hackers to write nifty scripts and automate any structured process, ranging from small network scans to wide area network packet sniffing. In recent years, Python has become the language of choice for such tasks, and there are good reasons for this. In this article on ethical hacking using Python, we will discuss the reasons that make these two such a brilliant couple
Below is the list of topics we shall be going over:
☞ What is ethical hacking? ☞ What is Python? ☞ Why use Python for ethical hacking? ☞ Simple dictionary attack using Python
The term hacking goes a long way back. To be exact, it all started at the Railroad Club of MIT, where both the term ‘hacking’ and ‘*hacker’ *were first coined. It’s been almost 50 years now, and hacking has evolved into a discipline in the current day and age. With the increase in awareness regarding data protection and data privacy, hacking has been deemed as an illegal activity today. If caught, there’s a good chance that you will be prosecuted for quite some time depending on the degree of harm caused.
None the less, to protect themselves from hackers of all sorts, employment of Ethical Hackers has become a common practice amongst organizations. Ethical hackers are given the responsibility of finding and fixing security flaws for a certain organization before black hat hackers find them.
Python is a general-purpose scripting language that has gained immense popularity amongst professionals and beginners for its simplicity and powerful libraries. Python is insanely versatile and can be used for almost any kind of programming. From building small scale scripts that are meant to do banal tasks, to large scale system applications – Python can be used anywhere and everywhere. In fact, NASA actually uses Python for programming their equipment and space machinery.
Python can also be used to process text, display numbers or images, solve scientific equations, and save data. In short, Python is used behind the scenes to process a lot of elements you might need or encounter on your devices.
Python has gained its popularity mostly because of its super powerful yet easy to use libraries. Sure Python has awesome readability and it is really simple and all but nothing really beats the fact your job as a developer is made super simple with these libraries. These libraries find uses in all sorts of domains, for example, artificial intelligence has Pytorch and Tensorflow while Data Science has Pandas, Numpy, Matplotlib.
Similarly, Python is brilliant for ethical hacking for the following reasons:
Nifty python libraries like Pulsar, NAPALM, NetworkX etc make developing network tools a breezeEthical hackers generally develop small scripts and python being a scripting language provides amazing performance for small programsPython has a huge community, hence any doubt related programming is quickly solved by the communityLearning Python also opens up your doors to several other career opportunities## Demo: Dictionary Attack using Python
Let me give you guys a small demonstration as to how an ethical hacker may use Python in his day to day job. Suppose you were scanning for a 3-way handshake between an FTP server and a client and you were successful in doing so too. But as you guys might already know, passwords are never really stored in plain text. They are always hashed before being stored in a database and normally the hash itself is compared for verification purposes. Let us create a small Python program that can be used to crack a password using the dictionary attack method.
import hashlib flag = 0 pass_hash = input("md5 hash: ") wordlist = input("File name: ") try: pass_file = open(wordlist,"r") except: print("No file found :(") quit() for word in pass_file: enc_wrd =word.encode('utf-8') digest =hashlib.md5(enc_wrd.strip()).hexdigest() # print(word) # print(digest) # print(pass_hash) if digest.strip() == pass_hash.strip(): print("password found") print("Password is " + word) flag = 1 break if flag == 0: print("password not in list")
Okay, guys, this brings us to the end of this “Ethical Hacking Using Python” article. This is one of the blogs in a long list of ethical hacking blogs that I have published. For more information regarding cybersecurity, you could check out my other blogs. If you have any doubts or queries regarding this particular article, leave a comment in the comments section below!
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Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Hack Wifi Passwords easily..
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu" >>> LastName = "Jordan" >>> FirstName, LastName = LastName, FirstName >>> print(FirstName, LastName) ('Jordan', 'kalebu')
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python is one of the most go-for languages among the developers due to the availability of open-source libraries and frameworks. According to a survey report, Python is the top language preferred for Statistical Modelling, and an overwhelming majority of practitioners prefer Python as the language for statistical works.
Python has become a favourite language for hackers these days. The reason is the presence of pre-built tools and libraries, which makes hacking easy. In fact, the language is adequate for ethical hacking as ethical hackers need to develop smaller scripts, and Python fulfils this criterion.
Below here, we listed down the top 7 Python libraries used in hacking.
**About: **Requests is a simple HTTP library for Python that allows a user to send HTTP/1.1 requests extremely easily. This library helps in building robust HTTP applications and includes intuitive features such as automatic content decompression and decoding, connection timeouts, basic & digits authentication, among others.
Know more here.
About: Scapy is a powerful Python-based interactive packet manipulation program and library. This library is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, store or read them using pcap files, match requests, and more. It allows the construction of tools that can easily scan or attack networks. It is designed to allow fast packet prototyping by using default values that work. It can also perform tasks such as sending invalid frames, injecting your own 802.11 frames, combining techniques, such as VLAN hopping with ARP cache poisoning, VOIP decoding on WEP encrypted channel, etc., which most other tools cannot.
Know more here.
**About: **IMpacket is a library that includes a collection of Python classes for working with network protocols. It is focused on providing low-level programmatic access to network packets. It allows Python developers to craft and decode network packets in a simple and consistent manner. The library provides a set of tools as examples of what can be done within the context of this library.
Know more here.
**About: **Cryptography is a package which provides cryptographic recipes and primitives to Python developers. It includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests and key derivation functions. This library is broadly divided into two levels. One is with safe cryptographic recipes that require little to no configuration choices. The other level is low-level cryptographic primitives, which are often dangerous and can be used incorrectly.
Know more here.
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