Introduction to GitHub Hacking Tools
GitHub provides top-class Hacking tools to ethical hackers to test the security features of any Web application System or Database by simulating malicious attacks and assessing the security vulnerabilities in the system. It throws an opportunity to correct flaws in the design or code before the system is hacked by a professional hacker.
These tools are used by IT security professionals to assess the security readiness of an Organization with their prior approval and a plan of action. In its repository, GitHub offers a big collection of hacking tools for the users to conduct security trials of the system during its implementation stage as well as on a continuous basis post-implementation stage.
GitHub Hacking tools overview
There are several hacking tools hosted in the GitHub repository, and let’s discuss the details of some of the tools here
1. Gau
The full expansion of Gau is to Get all the URLs. Gau is open-sourced tool available in the GitHub platform, and this tool is useful for getting the URLs used in the landscape. This information will be useful for the investigation of the subdomains of applications by tracking all the HTTP and HTTPS sites visited on the websites.
Any aberrations observed in the sites visited will be used to plug the gaps in the applications so that there will not be any security threat during the execution of the application in the future. The code of this tool is developed in the Go language and installed in the Kali Linux operating system. Users will have Go language environment, and Kali Linux OS installed in their system for this tool to work. Gau has a good user interface.
2. Dalfox
This tool is a powerful scanner of Cross-site scripts (XSS) that are injected by hackers inside the client-side code to a. steal vital information from web applications, b. Send an ill-intentioned request to the server. This XSS scanner works on the DOM parser concept, and it handles all types of XSS attacks viz., 1. Persistent (Stored), 2. Non-Persistent (Reflected), 3. Document Object Model (DOM)
Apart from handling XSS attacks, this tool is capable of handling SQL injects, and sever side template inject. The presence of many testing and analysis features, its high-performance level, and its friendly operations are this tool’s unique selling points (USP). This tool also aids Continuous Integration and Continuous Delivery.
3. dnsx
This tool offers a powerful Domain Name System kit to execute multiple investigations on the DNS environment. Users can issue any number of DNS checks, including wild card filtering, to verify the health of the system and smell any abnormalities. Over and above DNS checking and resolution, it also provides a facility to control and print the information extracted.
Some of its features are
• It facilitates Domain name system tracing
• It also supports probing of DNS status codes
• Operations are simple and easy to handle
• It manages wildcard queries using minimal requests.
• If the number of subdomains searched crosses a threshold, it switches automatically to wildcard in that system and saves operations time considerably
4. Ffuf
Ffuf stands for “Fuzz Faster than yoU Fool”. It is an open-sourced Web fuzzing tool that uses an automated procedure that discovers software hacks by injecting multiple combinations of data randomly into the application until one of the combinations brings out the vulnerability in the program. By doing so, it destroys many bugs that could possibly open up the applications for hackers.
This tool is a highly popular tool among ethical hackers to unearth surprise bugs in an application before they are exploited by professional hackers. Apart from discovering bugs, this tool is used to unearth hidden subdomains, files, and folders placed by hackers.
One advantage of this tool is that it is the fastest web fuzzing tool in the market, has several useful options built-in the tool, and has ways to filter out responses as needed. This tool is developed in the Go language, and its modular structure enables integration with the existing architecture with reasonable efforts. If the threads and filters are not properly put into use, this tool could produce a misleading result.
5. Nuclei
Nuclei are capable of sending requests to multiple hosts using a template to scan systems for the presence of malicious content. Fast scanning and zero false-positive results are the unique features of this tool. It uses data serialization mark-up language YAML which focuses more on data rather than documents.
YAML provides great flexibility to Nuclei to do any kind of security checks. It can scan various system components like HTTP, DNS, File, TCP, etc. Malicious contents are scanned by this tool using the template provided by the user. GitHub holds hundreds of such templates in its repository, mainly contributed by IT security professionals.
6. Subfinder
This tool specializes in scanning through a website for valid subdomains and lists them. It uses several online sources in passive mode to do the discovery of subdomains. Built on a modular architecture, and finetuned for optimal speed, this tool meets the user’s expectations very well. Efficiency, speed, and its passive way of operating are its plus points.
7. FinalRecon
It is an open-source Intelligence tool to investigate websites for malicious content. Written in Python3, this tool helps in gathering data from the target website or a system using open-source codes. It takes data from multiple websites or social media within a short time and presents it to users how they want.
Crawling, Header analysis, SSL certificate checking, and information on a person’s identity are the main activities of this tool.
Other GitHub Hacking Tools
Webscreenshot.py, Turbolist3r, Nmap Automator, DXAS, BoomER, Aquatone, Powershell-RAT, DumpsterFire, CMSeek, Sniffair, etc., are the other tools available in the GitHub repository.
Conclusion
GitHub has plenty of such ethical hacking tools in its repository. Users can choose the tool that suits their requirements and use them to check security exposures and correct them before they go online. Post-implementation, on a periodical basis, they can scan their system for the presence of any malcontents and rectify them on a continual basis.
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