Since people are posting their super-cool #wardriving rigs. It's not much, but with it I was able to collect and crack a LOT of wireless networks.
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SNAPPY: Detecting Rogue and Fake 802.11 Wireless Access Points Through Fingerprinting Beacon Management Frames
https://www.trustwave.com/en-us/resources/blogs/spiderlabs-blog/snappy-detecting-rogue-and-fake-80211-wireless-access-points-through-fingerprinting-beacon-management-frames/
https://www.trustwave.com/en-us/resources/blogs/spiderlabs-blog/snappy-detecting-rogue-and-fake-80211-wireless-access-points-through-fingerprinting-beacon-management-frames/
Trustwave
SNAPPY: Detecting Rogue and Fake 802.11 Wireless Access Points Through Fingerprinting Beacon Management Frames | Trustwave
I’ve found a novel technique to detect both rogue and fake 802.11 wireless access points through fingerprinting Beacon Management Frames, and created a tool to do so, called snap.py (Snappy) – the blog post title doesn’t lie!
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https://github.com/ruvnet/wifi-densepose/
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
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