Harvesting Wireless Network Information - Revision history

Unknown user at 15:17, 22 June 2025

2025-06-22T15:17:12Z

← Older revision		Revision as of 15:17, 22 June 2025
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	A short guide to harvesting information about the wireless networks all around you.		A short guide to harvesting information about the wireless networks all around you.

	You can learn a ton by listening to what the many devices around you are saying. You can discover wireless networks, find clients on them, figure out the router make and model, learn the make and model of a router's clients, and see how much traffic is happening on each network.		You can learn a ton by listening to what the many devices around you are saying. You can discover wireless networks, find clients on them, figure out the router make and model, learn the make and model of a router's clients, and see how much traffic is happening on each network. This is what aircrack helps you do.

			You can learn even more if you walk around noisily trying to interrupt or terminate every wireless device's connection with its wireless access point, and in so doing, force it to have to reconnect and repeat the handshake process. This is what besside helps you do.

	=The Tools=		=The Tools=
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	==Aircrack==		==Aircrack==

	The primary tool for any wireless listening is [[Aircrack]] and its airodump-ng command. Most tools that do wireless stuff are using aircrack under the hood.		The primary tool for any wireless listening is [[Aircrack]] and its airodump-ng command. Most tools that do wireless stuff are using aircrack library under the hood.

	When you first learn how wireless networks are cracked, there are many steps involved. You are using aircrack in one terminal to listen to all networks, then you identify a network, then you switch to another terminal, copy and paste its mac address, construct your new listening command, switch to the first window, stop the listening process, switch back, run your new listening process, open a third window, copy and paste the mac of clients, etc.		When you first learn how wireless networks are cracked, there are many steps involved. You are using aircrack in one terminal to listen to all networks, then you identify a network, then you switch to another terminal, copy and paste its mac address, construct your new listening command, switch to the first window, stop the listening process, switch back, run your new listening process, open a third window, copy and paste the mac of clients, etc.
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	==Besside==		==Besside==

	Besside is part of the [[Aircrack]] experimental build branch. If you are building Aircrack yourself, make aircrack with the command <code>make experimental=true</code> to enable this tool to be built. If you aren't building Aircrack yourself......... what are you doing?!?		Besside is part of the [[Aircrack]] experimental build branch. If you are building Aircrack yourself, make aircrack with the command <code>make experimental=true</code> to enable this tool to be built.

			(If you aren't building Aircrack yourself......... what are you doing?!?)

	If you think of Aircrack as a quiet awkward person who isn't sure what information you want and fumbles in actually transferring any of it to you, you can think of Besside as the insane Tazmanian devil that hoovers up information and pounds routers with brass knuckles to get the handshakes it needs.		If you think of Aircrack as a quiet awkward person who isn't sure what information you want and fumbles in actually transferring any of it to you, you can think of Besside as the insane Tazmanian devil that hoovers up information and pounds routers with brass knuckles to get the handshakes it needs.
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	==Python==		==Python==

	I strive to keep all my Python tools "fat free," meaning, minimizing the use of non-stock libraries. ~~Not regularly using~~ 900-pound gorillas like Pandas or Numpy. ~~Sticking~~ to ~~simple CSV parsing~~, ~~etc~~.		I strive to keep all my Python tools "fat free," meaning, minimizing the use of non-stock libraries.

			Don't use 900-pound gorillas like Pandas or Numpy unless you really need them.

			Keep it simple, lightweight, and don't be afraid to kludge some hacky stuff together. You ain't building the next Sistine Chapel, brother.

	=Doing It=		=Doing It=
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	</pre>		</pre>

	Now Aircrack will create a file called everything-01.cap, which will be a pcap file containing all the packets it hears, plus a CSV file called everything-01.csv, which is a CSV file containing all of the information about MAC addresses, network names, power, data, beacons, clients, and traffic. This information can be split up and parsed with Python scripts, so long as you capture it to a file!		Now Aircrack will create a file called everything-01.cap, which will be a pcap file containing all the packets it hears, plus a CSV file called everything-01.csv, which is a CSV file containing all of the information about MAC addresses, network names, power, data, beacons, clients, and traffic.

			This information can be split up and parsed with Python scripts, so long as you capture it to a file!

	==Parsing with Python==		==Parsing with Python==
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	#################################		#################################
	# Data for		# Data for Stations
	# Stations
	# (Access Points)		# (Access Points)
	#################################		#################################
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	#################################		#################################
	# Data for		# Data for Clients
	# Clients
	#
	#################################		#################################

Unknown user at 15:12, 22 June 2025

2025-06-22T15:12:08Z

← Older revision		Revision as of 15:12, 22 June 2025
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	A short guide to harvesting information about the wireless networks all around you.		A short guide to harvesting information about the wireless networks all around you.

	~~The quieter you become, the mosre you are able to hear.~~

	You can learn a ton by listening to what the many devices around you are saying. You can discover wireless networks, find clients on them, figure out the router make and model, learn the make and model of a router's clients, and see how much traffic is happening on each network.		You can learn a ton by listening to what the many devices around you are saying. You can discover wireless networks, find clients on them, figure out the router make and model, learn the make and model of a router's clients, and see how much traffic is happening on each network.

Admin: /* Tazmanian Devil Method: Besside */

2016-01-18T02:41:43Z

Tazmanian Devil Method: Besside

← Older revision		Revision as of 02:41, 18 January 2016
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	</source>		</source>



	~~==Tazmanian Devil Method: Besside==~~

Admin: /* Seeing It In Action */

2016-01-18T02:41:33Z

Seeing It In Action

← Older revision		Revision as of 02:41, 18 January 2016
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	~~===Seeing It In Action===~~

	~~<!--~~
	~~[[Image:HarvestScript.png\|500px]]~~
	~~-->~~

	~~(add an image at some point)~~

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==

Admin: /* Seeing It In Action */

2016-01-10T23:25:18Z

Seeing It In Action

← Older revision		Revision as of 23:25, 10 January 2016
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	===Seeing It In Action===		===Seeing It In Action===

			<!--
	[[Image:HarvestScript.png\|500px]]		[[Image:HarvestScript.png\|500px]]
			-->

			(add an image at some point)

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==

Admin: /* Extracting/Printing Data */

2015-08-20T19:16:06Z

Extracting/Printing Data

← Older revision		Revision as of 19:16, 20 August 2015
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	</source>		</source>



			===Seeing It In Action===

			[[Image:HarvestScript.png\|500px]]

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==

Admin: /* Extracting/Printing Data */

2015-08-20T19:15:35Z

Extracting/Printing Data

← Older revision		Revision as of 19:15, 20 August 2015
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	Now we can use the station and client data obtained in the prior section to print it all out in a nice format, and use it to construct some handy commands for listening/monitoring specific networks.		Now we can use the station and client data obtained in the prior section to print it all out in a nice format, and use it to construct some handy commands for listening/monitoring specific networks.

	First things first, call the function we just defined:		First things first, call the function we just defined.

			Then, go from there. Parse the station data first, then parse the client data.

	<source lang="python">		<source lang="python">
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	stations_list, clients_list = csv2blob(csvfile)		stations_list, clients_list = csv2blob(csvfile)

	~~</source>~~

	~~<source lang="python">~~
	#################################		#################################
	# Data for		# Data for
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	print ""		print ""

	</~~pre~~>		</source>

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==

Admin: /* Extracting/Printing Data */

2015-08-20T19:15:03Z

Extracting/Printing Data

@@ Line 127: / Line 127: @@
 <source lang="python">
 from read_airodump import csv2blob
 import re
@@ Line 135: / Line 136: @@
 </source>
 ==Tazmanian Devil Method: Besside==

Admin: /* Extracting/Printing Data */

2015-08-20T19:14:00Z

Extracting/Printing Data

← Older revision		Revision as of 19:14, 20 August 2015
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	First things first, call the function we just defined:		First things first, call the function we just defined:

	<~~pre~~>		<source lang="python">
	from read_airodump import csv2blob		from read_airodump import csv2blob
	import re		import re
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	stations_list, clients_list = csv2blob(csvfile)		stations_list, clients_list = csv2blob(csvfile)
	</~~pre~~>
			</source>

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==

Admin: /* Splitting the Aircrack File */

2015-08-20T19:13:41Z

Splitting the Aircrack File

← Older revision		Revision as of 19:13, 20 August 2015
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	Now we have a list of stations data, and a list of clients data, which are returned by the function.		Now we have a list of stations data, and a list of clients data, which are returned by the function.


			===Extracting/Printing Data===

			Now we can use the station and client data obtained in the prior section to print it all out in a nice format, and use it to construct some handy commands for listening/monitoring specific networks.

			First things first, call the function we just defined:

			<pre>
			from read_airodump import csv2blob
			import re

			csvfile='/path/to/everything-01.csv'

			stations_list, clients_list = csv2blob(csvfile)
			</pre>

	==Tazmanian Devil Method: Besside==		==Tazmanian Devil Method: Besside==