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.
(The libraries are listed according to their Stars on GitHub).
1| Requests
Stars: 43.3k
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.
2| Scapy
Stars: 5.5k
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.
3| IMpacket
Stars: 5.3k
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.
4| Cryptography
Stars: 3.5k
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.
5| Python-Nmap
Stars: 13
About: It is a Python library which helps in using Nmap port scanner. The library allows manipulation of Nmap scan results and is a perfect tool for system administrators who want to automate scanning tasks and reports. It also supports Nmap script outputs.
Know more here.
6| Pylibnet
Stars: 10
About: Pylibnet is a Python module for the libnet packet injection library. It is basically a Python wrapper for the libnet packet injection library. Libnet is an API that helps with the construction and injection of network packets. It also provides a portable framework for low-level network packet writing and handling. Libnet includes packet creation at the IP layer and at the link layer as well as a host of supplementary and complementary functionality.
Know more here.
7| RawSocketPy
Stars: 4
About: Raw socket is a layer 2 Python library for communication using the MAC addresses only. The library allows creating a custom made Ethernet/WiFi communication system without using IP or TCP/UDP. It can also debug custom frames such as SERCOS III, Profibus, ARP, PTP, etc. It allows a user to implement a custom layer 2 communication using raw sockets in Python version 2 and 3 with and without callbacks in a both synchronous and asynchronous manner.
Know more here.
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