Overview
Extracts users from the currently viewed LinkedIn company page
Tool for IT Security professionals to show the risk of Open Source Intelligence techniques. Extracts users from the currently viewed LinkedIn company page and performs a number of actions to clean up the names so they can be used in enumeration and password attacks. Features: - Option to retrieve headline, subline and handle for each user - Option to generate short name versions of users for common names such as Jonathan -> John - Clean up steps • Normalises any NFD characters for example ó to o • Removes any none printable ASCII characters • Downloads a wordlist and removes postnominals • Downloads a wordlist and removes honorifics • Removes any data after a comma or curly bracket • Removes the dot that follows a hidden surname • Attempts to identify the first and last name of user • Identifies any common surname prefixes and appends to surname • Converts to lowercase and trims any redundant white space As the first and last name fields on LinkedIn are free form text fields then there can be any random combination of data in them. Please ensure you check over the exported list as there will be dodgy names still…
4 out of 54 ratings
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SmithsonSep 22, 2022
Really useful for OSINT!
James DSep 22, 2022
Ignore that guy, works great.
Era jamesAug 18, 2022
Doesn't Work
Details
- Version2.6
- UpdatedApril 24, 2023
- Offered byNick Muir (Shellfarmer)
- Size31.53KiB
- LanguagesEnglish
- Developer
Email
nick.muir@nccgroup.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes