Search Results for "osint"
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Showing 6 open source projects for "osint"
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1
theHarvester
E-mails, subdomains and names
theHarvester is a very simple to use, yet powerful and effective tool designed to be used in the early stages of a penetration test or red team engagement. Use it for open source intelligence (OSINT) gathering to help determine a company's external threat landscape on the internet. The tool gathers emails, names, subdomains, IPs and URLs using multiple public data sources. -
2
Social-Analyzer
API, CLI, and Web App for analyzing and finding a person's profile
Social Analyzer is an open source OSINT tool that helps investigators discover and analyze a person’s presence across a very large number of social media platforms. It provides a unified API, CLI, and web interface capable of scanning hundreds or thousands of sites for username matches and related metadata. The project includes modular detection and analysis components that users can enable depending on their investigative needs. -
3
Snoop Project
This is the most powerful software taking into account CIS location
Snoop is an open data intelligence tool (OSINT world). Snoop Project is one of the most promising OSINT tools for finding nicknames. This is the most powerful software taking into account the CIS location. Is your life slideshow? Ask Snoop. Snoop project is developed without taking into account the opinions of the NSA and their friends, that is, it is available to the average user. -
4
DetectDee
Hunt down social media accounts by username, email or phone
DetectDee: Hunt down social media accounts by username, email or phone across social networks example. -
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5
Somedo
Social Media Downloader
Social Media Downloader for Open Source Intelligence purpos. Supportes so far: Facebook Instagram Twitter -
6
Twitter Intelligence
Twitter Intelligence OSINT project performs tracking and analysis
A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing. User, hashtag, and location analyzes are performed. You must write...
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