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)
#Task#Script#签到脚本#雨晨ios 脚本名称:雨晨IOS签到 脚本说明: • 雨晨ios 每天自动签到,轻松获取积分,用于兑换苹果共享账号。 • 使用账号密码进行登录,故cookie无需考虑有效期,随意畅玩。 使用方法: 复制网站 到微信打开,微信直接登录账号,修改登录密码; • 在boxjs填写账号#密码,多账号用&分割,如账号1#密码1&账号2#密码2; • 将脚本添加到定时任务运行即可。 😀脚本作者: Sliverkiss 😀脚本地址:点击链接 😀BoxJs 地址:点击链接 📢 群聊:@TossQL 🎈 频道:@TossQLChannel
找到 2 条相似帖子
搜索 #geolocation
@djangoproject · Post #241 · 2017/01/25 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.