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Close-Circuit Telegram Vision revolutionizes location tracking with its open-source design and Telegram API integration. Offering precise tracking within 50-100 meters, users can monitor others in real-time for logistics or safety, redefining how we navigate our surroundings
The main features of ivanglinkin/cctv are: Pastebins.
Projects with overlapping indexed features include: drego85/tosint — Tosint is a Telegram OSINT tool that extracts actionable intelligence from bot tokens and chat IDs for security… eth0izzle/the-endorser — An OSINT tool that allows you to draw out relationships between people on LinkedIn via endorsements/skills. hamodywe/telegram-scraper-telegraphite — A fast and reliable Telegram channel scraper that fetches posts and exports them to JSON. l4rm4nd/linkedindumper — Python 3 script to dump/scrape/extract company employees from LinkedIn API. megadose/toutatis — Toutatis is an open-source intelligence tool designed to extract public account information, emails, and phone numbers… datalux/osintgram — Osintgram is a command-line utility designed for open-source intelligence gathering and the extraction of public data…
Tosint is a Telegram OSINT tool that extracts actionable intelligence from bot tokens and chat IDs for security investigations.
An OSINT tool that allows you to draw out relationships between people on LinkedIn via endorsements/skills.
A fast and reliable Telegram channel scraper that fetches posts and exports them to JSON.
Osintgram is a command-line utility designed for open-source intelligence gathering and the extraction of public data from social media profiles. It functions as a framework for collecting and processing user information to assist in digital investigations and the mapping of digital footprints. The tool distinguishes itself through a modular architecture that organizes intelligence-gathering tasks into independent scripts, all sharing a unified session state and data processing pipeline. It utilizes headless browser automation and session-based interactions to mimic legitimate user behavior,