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CrossLinked is an open source LinkedIn enumeration tool designed to collect employee names associated with a target organization. Instead of accessing LinkedIn directly or relying on its API, it performs search engine scraping using services such as Google and Bing to discover public LinkedIn profile results. By analyzing these search results, CrossLinked extracts employee names and processes them into usable formats for security assessments or reconnaissance activities. This approach allows the tool to operate without credentials, authentication tokens, or LinkedIn account access. CrossLinked is commonly used by penetration testers and security professionals during the reconnaissance phase to identify potential usernames or email address formats for a target organization. It also supports customizable naming templates, enabling users to generate usernames or email formats that match corporate account conventions.
Features
- Uses search engine scraping (Google and Bing) to identify LinkedIn profiles related to a company
- Extracts employee names from discovered public LinkedIn profile results
- Supports customizable username and email naming formats using templates
- Generates structured output files including formatted names and raw CSV data
- Includes proxy support and request timing options to reduce detection or rate limiting
- Command-line interface suitable for automation and integration with security tools
Project Samples
