iSniff-GPS – Passive Wifi Sniffing Tool With Location Data

The New Acunetix V12 Engine


iSniff GPS is a passive wifi sniffing tool which sniffs for SSID probes, ARPs and MDNS (Bonjour) packets broadcast by nearby iPhones, iPads and other wireless devices. The aim is to collect data which can be used to identify each device and determine previous geographical locations, based solely on information each device discloses about previously joined WiFi networks.

iSniff-GPS - Passive Wifi Sniffing Tool

iOS devices transmit ARPs which sometimes contain MAC addresses (BSSIDs) of previously joined WiFi networks, as described in here: Anatomy of a leak: how iPhones spill the ID of networks they access. iSniff GPS captures these ARPs and submits MAC addresses to Apple’s WiFi location service (masquerading as an iOS device) to obtain GPS coordinates for a given BSSID. If only SSID probes have been captured for a particular device, iSniff GPS can query network names on wigle.net and visualise possible locations.

By geo-locating multiple SSIDs and WiFi router MAC addresses, it is possible to determine where a device (and by implication its owner) is likely to have been.

Components

iSniff GPS contains 2 major components and further python modules:

  • iSniff_import.py uses Scapy to extract data from a live capture or pcap file and inserts it into a database (iSniff_GPS.sqlite3 by default).
  • A Django web application provides a browser-based interface to view and analyse the data collected. This includes views of all detected devices and the SSIDs / BSSIDs each has probed for, a view by network, Google Maps views for visualising possible locations of a given BSSID or SSID, and a pie chart view showing a breakdown of the most popular device manufacturers based on client MAC address Ethernet OUIs.
  • wloc.py provides a QueryBSSID() function which looks up a given BSSID (AP MAC address) on Apple’s WiFi location service. It will return the coordinates of the MAC queried for and usually an additional 400 nearby BSSIDs and their coordinates.
  • wigle.py provides a getLocation() function for querying a given SSID on the wigle.net database and returns GPS coordinates. It must be configured with a valid wigle.net auth cookie. Please respect the wigle.net ToS in using this module.

You can download iSniff-GPS here:

master.zip

Or read more here.

Posted in: Hacking Tools, Privacy, Wireless Hacking


Latest Posts:


Acunetix v12 - Pause & Resume Acunetix v12 – More Comprehensive More Accurate & 2x Faster
Acunetix, the pioneer in automated web application security software, has announced the release of Acunetix v12 - more comprehensive, accurate & 2x faster.
CloudFrunt - Identify Misconfigured CloudFront Domains CloudFrunt – Identify Misconfigured CloudFront Domains
CloudFrunt is a Python-based tool for identifying misconfigured CloudFront domains, it uses DNS and looks for CNAMEs which may be allowed to be associated with CloudFront distributions.
Airbash - Fully Automated WPA PSK Handshake Capture Script Airbash – Fully Automated WPA PSK Handshake Capture Script
Airbash is a POSIX-compliant, fully automated WPA PSK handshake capture script aimed at penetration testing, it is compatible with Bash and Android Shell.
XXEinjector - Automatic XXE Injection Tool For Exploitation XXEinjector – Automatic XXE Injection Tool For Exploitation
XXEinjector is an XXE Injection Tool that automates retrieving files using direct and out of band methods. Directory listing only works in Java applications.
Yahoo! Fined 35 Million USD For Late Disclosure Of Hack Yahoo! Fined 35 Million USD For Late Disclosure Of Hack
Ah Yahoo! in trouble again, this time the news is Yahoo! fined for 35 million USD by the SEC for the 2 year delayed disclosure of the massive hack, we actually reported on the incident in 2016 when it became public.
Drupwn - Drupal Enumeration Tool & Security Scanner Drupwn – Drupal Enumeration Tool & Security Scanner
Drupwn is a Python-based Drupal Enumeration Tool that also includes an exploit mode, which can check for and exploit relevant CVEs.


Comments are closed.