Production of SNOOP 1.3.3, a project specializing in developing forensics OSINT which searches for users’ accounts in public data has been published. The program can analyze various sites, forums, and social networks for the presence of a specific user’s name. This project is developed using materials of research in the field of scraping public data. Assemblies for Linux and Windows are available for use.
The code is written in Python, available on GitHub under a license that limits use for personal use only. This project is a branch from the codebase of Sherlock, a project supplied under the MIT license, initially for website expansion purposes.
SNOOP is listed on the Russian Unified Register of Russian Programs for Electronic Computing Machines and Databases. The software registers code 26.30.11.16, which ensures the implementation of established actions during operational-search measures (No.7012 Order 07.10.2020 NO515). The full version of the software tracks the presence of a user on 2700 internet resources, while its demo seeks out popular resources.
SNOOP is updated with new features such as accelerated search when working on the Android platform in the Termux terminal, improved search logic that does not make repeated requests for censored resources, and better search results on abandoned or unsafe websites. A new mode called “Quick” has been added, which accelerates the overall search while typos cannot be shorter than two characters. This software constantly processes parts of the codebase, resulting in fewer dependencies on third-party libraries. The “Normal” option has been removed.
For more information, visit SNOOP’s GitHub repository.