The release of the Snoop 1.3 project has been published, which develops a forensic OSINT tool that looks for user accounts in public data (intelligence based on open sources). The program analyzes various sites, forums and social networks for the presence of the username you are looking for, i.e. allows you to determine on which sites there is a user with the specified nickname. The project was developed on the basis of research work in the field of public data scraping. Builds prepared for Linux and Windows.
The code is written in Python and distributed under a license that restricts use to personal use only. At the same time, the project is a branch of the Sherlock project code base, supplied under the MIT license (the fork was created due to the inability to expand the site database).
Snoop is included in the Russian Unified Register of Russian Programs for Electronic Computers and Databases with the declared code 26.30.11.16: βSoftware that ensures the implementation of established actions during operational-search activities:: No7012 order 07.10.2020 No515β. At the moment, Snoop tracks the presence of a user on 2003 Internet resources in the full version and on the most popular resources in the Demo version.
Main changes in version 1.3.0:
- The base of verified web-resources has been expanded, which has overcome the mark of 2000 sites.
- Updated help menu, arguments grouped by meaning.
- Added new option '--autoclean' to auto-delete accumulated reports.
- Updated network self-diagnosis function.
- For Snoop Full version, premium offers have been added at the end of the license. The full version is free for students majoring in information security/criminology and public authorities.
- Updated the display of a local or web database in reports, taking into account the choice of a database when searching.
Source: opennet.ru