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Cost / License
- Paid
- Proprietary
Platforms
- Online


PhoneInfoga is described as 'Performs OSINT on international phone numbers by scanning for origin, carrier, line type, reputation, and social media links using automated online sources' and is an app in the security & privacy category. There are more than 10 alternatives to PhoneInfoga for a variety of platforms, including Windows, Linux, Web-based, Self-Hosted and Mac apps. The best PhoneInfoga alternative is Blackbird OSINT, which is both free and Open Source. Other great apps like PhoneInfoga are SpiderFoot, Maltego, OSINT-tool and Noimosiny.
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DataWalk is a next-generation platform for revealing patterns, relationships, and anomalies for large-scale, multi-source intelligence operations in a singular data view using intuitive visualizations, histograms, link charts, maps, and timelines.




Linkurious provides a graph visualization and analysis platform used for fraud detection, anti-money laundering, intelligence or cybersecurity. Easy to deploy and highly extensible, Linkurious Enterprise makes it easy to uncover insights hidden in complex connected data.


Siren is an all-in-one investigation platform that safeguards people, assets, and networks by integrating data from open sources, vendors, and classified channels.


Open-source ruby project to handle the storage and linking of open-source intelligence (ala Maltego, but free as in beer and not tied to a specific / proprietary datbase).
Lampyre - an efficient data analysis and OSINT multi-tool for everyone. Obtain, visualize and analyze data in one place to see what others can't.

Empowering the demanding needs of intelligence analysts, law enforcement, investigators, researchers, and information workers, Sentinel Visualizer is the next generation data visualization and analysis solution for your big data.




Visallo helps intelligence analysts, law enforcement detectives, and fraud investigators produce more rigorous and defensible conclusions by helping them discover, visualize, and understand complex relationships hidden in massive amounts of data.



