Showing 3 open source projects for "email script"

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    linkedin2username

    linkedin2username

    Generate probable usernames from LinkedIn company employee lists

    ...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. Unlike tools that rely on official APIs, linkedin2username operates as a pure web scraper and therefore does not require API keys. The script uses Selenium to automate browser interactions and perform searches within LinkedIn to gather employee data.
    Downloads: 4 This Week
    Last Update:
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  • 2

    YoungerSibling

    YoungerSibling: Cross-platform OSINT tool for quick data gathering.

    YoungerSibling is a Python-based terminal utility script designed for educational purposes. It provides a set of useful tools to perform tasks like searching the web, performing lookups (Google search, IP lookup, username lookup, etc.), and extracting metadata from images, directly from the terminal. This project aims to help students, developers, and hobbyists learn about web scraping, API usage, and terminal interaction with Python.
    Downloads: 9 This Week
    Last Update:
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  • 3
    yesitsme

    yesitsme

    Simple OSINT script to find Instagram profiles by name

    yesitsme is a Python-based OSINT utility designed to help investigators identify potential Instagram accounts associated with a specific person using limited identifying data. The script works by querying indexed public information and comparing obfuscated email addresses and phone numbers against user-provided inputs to estimate match confidence. It is intended to automate a time-consuming manual investigation process by aggregating candidate usernames and classifying them into match levels such as high, medium, or low. ...
    Downloads: 2 This Week
    Last Update:
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