5 Hidden Python Libraries For Cyber Security | by Pranjal Saxena | Towards Data Science

Python is now one of the most popular and fastest-growing programming languages. Its utility has been demonstrated in the fields of artificial intelligence and business analytics. Building cybersecurity solutions is yet another important application of technology.
Python has some amazing libraries that can be utilised in cybersecurity. The good thing is that most of these libraries are currently being utilised in the cybersecurity area. They are using python because it is much simple to learn and user-friendly.
In his article, I will share some useful libraries for creating cybersecurity solutions using python.
Nmap is an open-source tool analyser that is widely used in cybersecurity. This library enables you to integrate Nmap with your Python scripts, allowing you to leverage Nmap’s capabilities to scan hosts and then interact with the results within your Python script.
Nmap is a great tool for system administrators since it specialises in automating scanning operations by modifying Nmap scan findings. Nmap is a tool used by pen testers to analyse scan results and launch tailored attacks against hosts.
pip install python-nmap
You can learn more about Nmap on its official website here.
Scapy is a sophisticated Python package that may be used for scanning, probing, unit testing, and tracerouting in penetration testing. The program’s purpose is to sniff, transmit, analyse, and modify network packets. Many modules disregard packets that the target network/host does not respond to.
Scapy, on the other hand, gives the user all of the information by producing an additional list of mismatched (unanswered) packets. Scapy may also transmit incorrect frames to the target host, inject 802.11 frames, decode WEP-encrypted VOIP packets, and so on, in addition to probing packets.
pip install scapy
You can learn more about Scapy on its official website here.
The collection of data is a crucial part of penetration testing. Penetration testers may need to extract data from HTML/XML sites on occasion. In big projects, writing a tool from the start or even doing the procedure manually might take hours or days.
Beautiful Soup is a Python module that may be used to automate data scraping operations. For example, the library can read data from HTML and XML files and parse them.
pip install beautifulsoup4
Let’s have a look at a glimpse of code snippets to use Beautiful Soup using Python.
from bs4 import BeautifulSoupsoup = BeautifulSoup(html_doc, 'html.parser')for tag in soup.find_all('b')     print(tag.name)# b
You can learn more about Beautiful Soup on its official website here.
It contains high-level recipes and reduced gateways to popular cryptographic methods, including symmetrical cyphers, message digests, and key derivation algorithms. Cryptographic primitives at a low level. These are frequently hazardous and can be misused.
This layer is known as the “hazardous materials” or “hazmat” layer because of the risk potential when operating at this level. These are found in the cryptography.hazmat package and their explanation will always include a warning.
pip install cryptography
You can learn more about Cryptography on its official website here.
VirusTotal’s Yara is a tool for quickly identifying patterns in data. It’s like a supercharged version of Ctrl+F. You can provide strings or regex patterns and whether or not a condition or several criteria should be satisfied.
This module makes it simple to integrate Yara into your scripts. We can use it to extract data from API requests that matched on yara criteria.
pip install yara-python
Let’s have a look at a glimpse of code snippets to use Yara using Python.
print(matches)>>[foo]
You can learn more about Yara on its official website here.
The given packages are very useful in your cybersecurity and will help you defend your system and effectively carry out cybersecurity measures. In addition, python’s strong libraries have made it the language of choice for programmers.
These Python libraries/modules can assist developers in creating the most sophisticated Cybersecurity tools without having to write separate code for each aspect of the product.
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