Project Description: Sherlock
What is the project about?
Sherlock is a command-line tool that hunts down social media accounts by username across over 400 social networks.
What problem does it solve?
It helps users find where a given username is registered across a vast range of social media platforms. This can be useful for various purposes, such as OSINT (Open Source Intelligence) investigations, brand protection, or simply finding someone's online presence.
What are the features of the project?
- Searches for usernames across 400+ social networks.
- Outputs results to individual text files per username.
- Supports multiple usernames in a single search.
- Offers various output formats: CSV, XLSX.
- Allows filtering by specific sites.
- Supports Tor and proxy for anonymity.
- Can load data from JSON files.
- Configurable timeout for requests.
- Options to print all results or only found accounts.
- Option to browse results in the default browser.
- Option to use local or online data.
- Option to include NSFW sites.
What are the technologies used in the project?
- Python (indicated by
pipx installand the general structure). - Requests Library (Likely used for making HTTP requests)
- Tor (optional, for anonymity).
- Docker
What are the benefits of the project?
- Efficiency: Quickly checks hundreds of sites at once.
- Comprehensive: Covers a wide range of social networks.
- Flexibility: Offers various output and configuration options.
- Anonymity: Supports Tor and proxy usage.
- Open Source: MIT licensed, allowing for community contributions and modifications.
What are the use cases of the project?
- Open Source Intelligence (OSINT): Gathering information about individuals or organizations.
- Brand Protection: Monitoring where a brand name is being used.
- Cybersecurity: Investigating potential threats or impersonation.
- Personal Use: Finding someone's online presence or checking username availability.
- Law Enforcement: Assisting in investigations.
- Journalism: Researching individuals or organizations.
