Kali
CrossLinked is a LinkedIn enumeration tool that uses search engine scraping to collect valid employee names from an organization. This technique provides accurate results without the use of API keys, credentials, or accessing LinkedIn directly! Table of Contents Sponsors Scrape public LinkedIn profile data at scale with Proxycurl APIs. • Scraping Public profiles are battle tested …
Continue reading “CrossLinked: Mastering LinkedIn Enumeration with Search Engine Scraping”
CrossLinked is a LinkedIn enumeration tool that uses search engine scraping to collect valid employee names from an organization. This technique provides accurate results without the use of API keys, credentials, or accessing LinkedIn directly! Install Install the last stable release from PyPi: pip3 install crosslinked Or, install the most recent code from GitHub: git …
CrossLinked is a LinkedIn enumeration tool that uses search engine scraping to collect valid employee names from a target organization. This technique provides accurate results without the use of API keys, credentials, or even accessing the site directly. Formats can then be applied in the command line arguments to turn these names into email addresses, …
Continue reading “CrossLinked : LinkedIn Enumeration Tool To Extract Valid Employee Names”
CrossLinked simplifies the processes of searching LinkedIn to collect valid employee names when performing password spraying or other security testing against an organization. Using similar search engine scraping capabilities found in tools like subscraper and pymeta, CrossLinked will find valid employee names and help format the data according to the organization’s account naming convention. Results will be written …
