Chasing Your Tail (CYT) https://github.com/ArgeliusLabs/Chasing-Your-Tail-NG A comprehensive #WiFi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with #Kismet for packet capture and WiGLE API for #SSID#geolocation analysis, featuring advanced #surveillance#detection capabilities. Features Real-time Wi-Fi monitoring with Kismet integration Advanced surveillance detection with persistence scoring Automatic GPS integration - extracts coordinates from Bluetooth GPS via Kismet GPS correlation and location clustering (100m threshold) Spectacular KML visualization for Google Earth with professional styling and interactive content Multi-format reporting - Markdown, HTML (with pandoc), and KML outputs Time-window tracking (5, 10, 15, 20 minute windows) WiGLE API integration for SSID geolocation Multi-location tracking algorithms for detecting following behavior Enhanced GUI interface with surveillance analysis button Organized file structure with dedicated output directories Comprehensive logging and analysis tools Requirements Python 3.6+ Kismet wireless packet capture Wi-Fi adapter supporting monitor mode Linux-based system WiGLE API key (optional)
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Источник @procode404 · Post #3441 · 7 февр.
👨💻Программирование на Golang для начинающих Плейлист по разработке на go. В ходе уроков вы сможете познакомиться с основами языка и его синтаксисом, а также сможете на практике написать своего Telegram-бота. 1. Типы и переменные [15:01] 2. Переменные и ошибки с ними [16:26] 3. Циклы [14:41] 4. Массивы и срезы [9:33] 5. Словари [7:45] 6. Функции [10:14] 7. Структуры [10:28] 8. Парсер на Golang. Telegram и Go [13:54] 9. Telegram bot. Используем webhook [10:54] 10. Telegram bot. Собираем данные пользователей [6:13] 11. Фильтр сообщений для Telegram [5:11] 12. Telegram bot. Отправляем фото из облачного хранилища [7:12] 13. Упаковываем приложение в Docker [7:22] #go
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@djangoproject · Post #241 · 25.01.2017, 13:30
http://www.aparat.com/v/4yGhH #Geolocation apps with #Django. Latitude, longitude, altitude, and even #iBeacons can be leveraged to enable geo-targeted experiences. But how do we build and optimize the server-side components to handle these requirements? Using a combination of libraries and techniques, we will illustrate these concepts. In this discussion everything from #map clustering and caching, to distance calculations and polygonal layering will be demonstrated using Django, #GeoDjango, #Redis, and #PostGIS as our tool belt.