Showing 3 open source projects for "dork"

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  • 1
    SiteDorks

    SiteDorks

    Automate search engine dorking across hundreds of websites

    SiteDorks is a command line tool designed to automate advanced search queries across multiple search engines and websites. It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. Instead of manually running the same query for many sites, SiteDorks generates and executes the queries automatically using lists of “dorkable” websites. ...
    Downloads: 2 This Week
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  • 2
    pagodo

    pagodo

    Automate Google Hacking Database scraping and searching

    pagodo automates Google searching for potentially vulnerable web pages and applications on the Internet. It replaces manually performing Google dork searches with a web GUI browser. There are 2 parts. The first is ghdb_scraper.py that retrieves the latest Google dorks and the second portion is pagodo.py that leverages the information gathered by ghdb_scraper.py. This version of pagodo also supports native HTTP(S) and SOCKS5 application support, so no more wrapping it in a tool like proxychains4 if you need proxy support. ...
    Downloads: 1 This Week
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  • 3
    FavFreak

    FavFreak

    Favicon hash–based reconnaissance tool for security research

    FavFreak is an open source reconnaissance tool designed to assist security researchers, bug bounty hunters, and penetration testers in identifying web technologies using favicon hashes. It works by taking one or more URLs as input and automatically retrieving the favicon.ico file associated with each target website. After fetching the favicon, it calculates a hash value and organizes the scanned domains, subdomains, or IP addresses according to these hashes. FavFreak then compares the...
    Downloads: 0 This Week
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