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linkedin2username is an open source OSINT (Open Source Intelligence) tool designed to generate lists of potential usernames by scraping employee information from a company’s LinkedIn page. It logs into LinkedIn using valid user credentials and collects publicly visible employee names associated with a specified organization. Using these names, it automatically generates multiple possible username formats that organizations commonly use for accounts or email addresses. This process helps security researchers, penetration testers, and investigators perform reconnaissance by building potential username lists for further security testing or OSINT analysis. ...

...Security teams can use the tool to discover potential threats where attackers attempt to deceive users with lookalike domains. dnstwist also helps detect phishing activity by comparing web page content and visual similarity between domains using fuzzy hashing and perceptual hashing techniques. By automating DNS fuzzing and analysis, it provides organizations with an additional source of targeted threat intelligence. The tool can output results in structured formats, making it easier to integrate with security workflows or further analyze suspicious domains.

Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x...