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Surveilling the Masses with Wi-Fi-Based Positioning Systems

Erik Rye University of Maryland
Dave Levin University of Maryland

Abstract—Wi-Fi-based Positioning Systems (WPSes) are used by modern mobile devices to learn their position using nearby Wi-Fi access points as landmarks. In this work, we show that
Apple’s WPS can be abused to create a privacy threat on a global scale. We present an attack that allows an unprivileged attacker to amass a worldwide snapshot of Wi-Fi BSSID
geolocations in only a matter of days. Our attack makes few assumptions, merely exploiting the fact that there are relatively few dense regions of allocated MAC address space. Applying this technique over the course of a year, we learned the precise locations of over 2 billion BSSIDs around the world.

The privacy implications of such massive datasets become more stark when taken longitudinally, allowing the attacker to track devices’ movements. While most Wi-Fi access points do
not move for long periods of time, many devices—like compact travel routers—are specifically designed to be mobile.

We present several case studies that demonstrate the types of attacks on privacy that Apple’s WPS enables: We track devices moving in and out of war zones (specifically Ukraine and Gaza), the effects of natural disasters (specifically the fires in Maui), and the possibility of targeted individual tracking by proxy—all by remotely geolocating wireless access points..

#Wifi #Surveillance
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#AI turns #WiFi #routers into "cameras" that see people through walls
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Get rid of #WiFi, put your phone into airplane mode and hook it up to ethernet.

Original source: https://youtu.be/Q83Jnm1PO04
#XFINITY #WIFI SPIES ON YOUR HOME MOVES— #CIA CONTRACTOR #PALANTIR GAINS ACCESS VIA #COMCAST

Comcast’s Xfinity has rolled out “WiFi Motion,” a real-time in-home motion tracking system for FREE, just as its data infrastructure now connects to CIA-linked surveillance firm Palantir through a new integration with Databricks, a leading enterprise AI and data platform provider.

This comes as #DARPA launches a new military AI program—MAGICS—designed to predict human behavior at scale.

The news also comes as the #Trump admin expands Palantir’s role in a federal effort to consolidate Americans’ personal data.

Without additional cameras or sensors, the WiFi motion system uses signal disruptions between devices to track movement. Room to room, across floors, and even down to small gestures like a hand wave.

When surveillance features are "free", your data and privacy are usually the real price.

https://modernity.news/2025/07/02/xfinity-wifi-spies-on-your-home-moves-cia-contractor-palantir-gains-access-via-comcast/

@westcoast_intel
#stalking #surveillance #gov #why
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⚡️WiFi Sensing Sees Through Walls

Comcast rolled out “WiFi Motion” to millions of routers. Once enabled, it tracks movement inside your home using signal strength between your router and devices.

Read full article on Substack

Xfinity admits it shares this motion data with law enforcement—no notice required.

This tech, called #WiFi sensing, has been around for over a decade. It can track movement through walls, detect gestures, and monitor activity—originally used for breath #tracking in hospitals.

Verizon and Google Nest offer similar tools. While sold as “security,” it opens the door to surveillance and #EMF exposure—linked to anxiety, fatigue, and more.

Now’s the time to go wired.

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Webinar replay — EMR awareness w/ Geophilia
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#Wifi test on plant growth.

If you want to see a full test, you can check the link below:
👇
https://youtu.be/ee8eozHfPQ8

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🤖 CVE-2025-48539: #Android #bluetooth stack access over adjacent #WiFi with no user interaction. With chains privilege escalation, the attacker can do full device access remotely.

https://osv.dev/vulnerability/ASB-A-406785684
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)
π RuView

See through walls with WiFi
Turn ordinary #WiFi into a spatial intelligence / sensing system. Detect people, measure breathing and heart rate, #track movement, and monitor rooms — through walls, in the dark, with no cameras or wearables. Just physics.

π RuView is a WiFi sensing platform that turns radio signals into spatial intelligence.
Every WiFi router already fills your space with radio waves. When people move, breathe, or even sit still, they disturb those waves in measurable ways. RuView captures these disturbances using Channel State Information (CSI) from low-cost ESP32 sensors and turns them into actionable data: who's there, what they're doing, and whether they're okay.

What it senses:

Presence and occupancy — detect people through walls, count them, track entries and exits
Vital signs — breathing rate and heart rate, contactless, while sleeping or sitting
Activity recognition — walking, sitting, gestures, falls — from temporal CSI patterns
Environment mapping — RF fingerprinting identifies rooms, detects moved furniture, spots new objects
Sleep quality — overnight monitoring with sleep stage classification and apnea screening

https://github.com/ruvnet/RuView
#Comcast Turns Millions Of #Routers Into #Motion Sensors - The Same #WiFi Signals Can ID You With 99.5% Accuracy -ZH

Dear Comcast customers: The internet gateway in your living room is now a motion sensor. It's free of charge, and the data can go to law enforcement without further notice. What's more, researchers have already shown that these same signals can identify exactly who is in the room.

On Tuesday, Comcast unveiled Xfinity Shield, a home security platform built entirely around the WiFi network. Its centerpiece, WiFi Motion, turns the leased gateway into a motion detector at no extra charge. According to Comcast, a typical customer has roughly 36 devices connected to their WiFi.

WiFi Motion works because a human body moving through a room disturbs the signal field between the gateway and stationary connected devices, like a printer or a game console. While the feature is opt-in and - according to Comcast's rollout materials - does not track phones or reach through WiFi extenders, those limitations are choices Comcast made in software, not limitations of the technology itself.

Comcast says WiFi Motion works "without recording video, capturing images or identifying individuals."

The company is not shy about identification as a product. The $15-a-month tier, Xfinity Shield Select, adds AI-powered cameras that identify people, pets, packages and vehicles. The free tier's restraint is a line drawn one product SKU away.

The company's own terms spell out where the data can go. According to the fine print that drew criticism when the feature first appeared last year, Comcast "may disclose information generated by your WiFi Motion to third parties without further notice" in connection with law enforcement investigations. Users pointed out at the time that the only complete opt-out is returning the Xfinity router.

The true capabilities of this technology were laid out by researchers at Germany's Karlsruhe Institute of Technology (KIT) in findings presented last November at the ACM Conference on Computer and Communications Security in Taipei. Using nothing but the traffic from an ordinary WiFi network, their system identified people with 99.5 percent accuracy in a study of 197 participants, regardless of viewing angle or how the person walked.

The method exploits beamforming feedback information (BFI) - housekeeping signals that every connected device sends back to the router so it can aim its transmissions efficiently. Beamforming has shipped with consumer WiFi hardware since WiFi 5. Because this feedback travels unencrypted, anyone within radio range can read it and, using a trained model, convert it into a crude radio image of whoever is present.