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CrossLinked

   

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, domain accounts, and more.

Setup

git clone https://github.com/m8r0wn/crosslinked
cd crosslinked
pip3 install -r requirements.txt

Examples

Results are written to a 'names.txt' file in the current directory unless specified in the command line arguments. See the Usage section for additional options.

python3 crosslinked.py -f '{first}.{last}@domain.com' company_name
python3 crosslinked.py -f 'domain\{f}{last}' -t 45 -j 1 company_name

Usage

positional arguments:
  company_name        Target company name

optional arguments:
  -h, --help          show this help message and exit
  -t TIMEOUT          Max timeout per search (Default=20, 0=None)
  -j JITTER           Jitter between requests (Default=0)
  -v                  Show names and titles recovered after enumeration

Search arguments:
  -H HEADER           Add Header ('name1=value1;name2=value2;')
  --search ENGINE     Search Engine (Default='google,bing')
  --safe              Only parse names with company in title (Reduces false positives)

Output arguments:
  -f NFORMAT          Format names, ex: 'domain\{f}{last}', '{first}.{last}@domain.com'
  -o OUTFILE          Change name of output file (default=names.txt

Proxy arguments:
  --proxy PROXY       Proxy requests (IP:Port)
  --proxy-file PROXY  Load proxies from file for rotation

Proxy Support

The latest version of CrossLinked provides proxy support through the Taser library. Users can mask their traffic with a single proxy by adding --proxy 127.0.0.1:8080 to the command line arguments, or use --proxy-file proxies.txt for rotating source addresses.

http/https proxies can be added in IP:PORT notation, while SOCKS requires a socks4:// or socks5:// prefix.

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LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping

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