calebmadrigal/trackerjacker
Like nmap for mapping wifi networks you’re not connected to, plus device tracking
repo name | calebmadrigal/trackerjacker |
repo link | https://github.com/calebmadrigal/trackerjacker |
homepage | |
language | Python |
size (curr.) | 904 kB |
stars (curr.) | 2142 |
created | 2016-12-18 |
license | MIT License |
trackerjacker
Like nmap for mapping wifi networks you’re not connected to. Maps and tracks wifi networks and devices through raw 802.11 monitoring.
PyPI page: https://pypi.python.org/pypi/trackerjacker
Install
pip3 install trackerjacker
Supported platforms: Linux (tested on Ubuntu, Kali, and RPi) and macOS (pre-alpha)
trackerjacker can help with the following:
- I want to know all the nearby wifi networks and know all the devices connected to each network.
- I want to know who’s hogging all the bandwidth.
- I want to run a command when this MAC address sends more than 100000 bytes in a 30 second window (maybe to determine when an IP camera is uploading a video, which is indicative that it just saw motion).
- I want to deauth anyone who uses more than 100000 bytes in a 10 second window.
- I want to deauth every Dropcam in the area so my Airbnb hosts don’t spy on me.
- I want to be alerted when any MAC address is seen at a power level greater than -40dBm that I’ve never seen before.
- I want to see when this particular person is nearby (based on the MAC of their mobile phone) and run a command to alert me.
- I want to write my own plugin to run some script to do something fun every time a new Apple device shows up nearby.
Usage
Find detailed usage like this:
trackerjacker -h
There are 2 major usage modes for trackerjacker
: map mode and track mode:
Map mode example
Map command:
trackerjacker -i wlan1337 --map
By default, this outputs the wifi_map.yaml
YAML file, which is a map of all the nearby WiFi networks and all of their users. Here’s an example wifi_map.yaml
file:
TEST_SSID:
00:10:18:6b:7a:ea:
bssid: 00:10:18:6b:7a:ea
bytes: 5430
channels:
- 11
devices:
3c:07:71:15:f1:48:
bytes: 798
signal: 1
vendor: Sony Corporation
78:31:c1:7f:25:43:
bytes: 4632
signal: -52
vendor: Apple, Inc.
signal: -86
ssid: TEST_SSID
vendor: Broadcom
BRANSONS_WIFI:
90:48:9a:e3:58:25:
bssid: 90:48:9a:e3:58:25
bytes: 5073
channels:
- 1
devices:
01:00:5e:96:e1:89:
bytes: 476
signal: -62
vendor: ''
30:8c:fb:66:23:91:
bytes: 278
signal: -46
vendor: Dropcam
34:23:ba:1c:ba:e7:
bytes: 548
signal: 4
vendor: SAMSUNG ELECTRO-MECHANICS(THAILAND)
signal: -80
ssid: BRANSONS_WIFI
vendor: Hon Hai Precision Ind. Co.,Ltd.
hacker_network:
80:2a:a8:e5:de:92:
bssid: 80:2a:a8:e5:de:92
bytes: 5895
channels:
- 11
devices:
80:1f:02:e6:44:96:
bytes: 960
signal: -46
vendor: Edimax Technology Co. Ltd.
80:2a:a8:8a:ec:c8:
bytes: 472
signal: 4
vendor: Ubiquiti Networks Inc.
80:2a:a8:be:09:a9:
bytes: 5199
signal: 4
vendor: Ubiquiti Networks Inc.
d8:49:2f:7a:f0:8f:
bytes: 548
signal: 4
vendor: CANON INC.
signal: -46
ssid: hacker
vendor: Ubiquiti Networks Inc.
80:2a:a8:61:aa:2f:
bssid: 80:2a:a8:61:aa:2f
bytes: 5629
channels:
- 44
- 48
devices:
78:88:6d:4e:e2:c9:
bytes: 948
signal: -52
vendor: ''
e4:8b:7f:d4:cb:25:
bytes: 986
signal: -48
vendor: Apple, Inc.
signal: -48
ssid: null
vendor: Ubiquiti Networks Inc.
82:2a:a8:51:32:25:
bssid: 82:2a:a8:51:32:25
bytes: 3902
channels:
- 48
devices:
b8:e8:56:f5:a0:70:
bytes: 1188
signal: -34
vendor: Apple, Inc.
signal: -14
ssid: hacker
vendor: ''
82:2a:a8:fc:33:b6:
bssid: 82:2a:a8:fc:33:b6
bytes: 7805
channels:
- 10
- 11
- 12
devices:
78:31:c1:7f:25:43:
bytes: 4632
signal: -52
vendor: Apple, Inc.
7c:dd:90:fe:b4:87:
bytes: 423223
signal: 4
vendor: Shenzhen Ogemray Technology Co., Ltd.
80:2a:a8:be:09:a9:
bytes: 5199
signal: 4
vendor: Ubiquiti Networks Inc.
signal: -62
ssid: null
vendor: ''
Note that, since this is YAML, you can easily use it as an input for other scripts of your own devising. I have an example script to parse this “YAML DB” here: parse_trackerjacker_wifi_map.py.
Example: Track mode with trigger command
Track mode allows you to specify some number of MAC addresses to watch, and if any specific devices exceeds the threshold (in bytes), specified here with the -t 4000
(specifying an alert threshold of 4000 bytes) an alert will be triggered.
trackerjacker --track -m 3c:2e:ff:31:32:59 --t 4000 --trigger-command "./alert.sh" --channels-to-monitor 10,11,12,44
Using monitor mode interface: wlan1337
Monitoring channels: {10, 11, 12, 44}
[@] Device (3c:2e:ff:31:32:59) threshold hit: 4734
[@] Device (3c:2e:ff:31:32:59) threshold hit: 7717
[@] Device (3c:2e:ff:31:32:59) threshold hit: 7124
[@] Device (3c:2e:ff:31:32:59) threshold hit: 8258
[@] Device (3c:2e:ff:31:32:59) threshold hit: 8922
In this particular example, I was watching a security camera to determine when it was uploading a video (indicating motion was detected) so that I could turn on my security system sirens (which was the original genesis of this project).
Example: Track mode with foxhunt plugin
trackerjacker -i wlan1337 --track --trigger-plugin foxhunt
Displays a curses screen like this:
POWER DEVICE ID VENDOR
======= ================= ================================
-82dBm 1c:1b:68:35:c6:5d ARRIS Group, Inc.
-84dBm fc:3f:db:ed:e9:8e Hewlett Packard
-84dBm dc:0b:34:7a:11:63 LG Electronics (Mobile Communications)
-84dBm 94:62:69:af:c3:64 ARRIS Group, Inc.
-84dBm 90:48:9a:34:15:65 Hon Hai Precision Ind. Co.,Ltd.
-84dBm 64:00:6a:07:48:13 Dell Inc.
-84dBm 00:30:44:38:76:c8 CradlePoint, Inc
-86dBm 44:1c:a8:fc:c0:53 Hon Hai Precision Ind. Co.,Ltd.
-86dBm 18:16:c9:c0:3b:75 Samsung Electronics Co.,Ltd
-86dBm 01:80:c2:62:9e:36
-86dBm 01:00:5e:11:90:47
-86dBm 00:24:a1:97:68:83 ARRIS Group, Inc.
-88dBm f8:2c:18:f8:f3:aa 2Wire Inc
-88dBm 84:a1:d1:a6:34:08
- Note that
foxhunt
is a builtin plugin, but you can define your own plugins using the same Plugin API.
Example: Track mode with trigger plugin
$ trackerjacker --track -m 3c:2e:ff:31:32:59 --threshold 10 --trigger-plugin examples/plugin_example1.py --channels-to-monitor 10,11,12,44 --trigger-cooldown 1
Using monitor mode interface: wlan1337
Monitoring channels: {10, 11, 12, 44}
[@] Device (device 3c:2e:ff:31:32:59) threshold hit: 34 bytes
3c:2e:ff:31:32:59 seen at: [1521926768.756529]
[@] Device (device 3c:2e:ff:31:32:59) threshold hit: 11880 bytes
3c:2e:ff:31:32:59 seen at: [1521926768.756529, 1521926769.758929]
[@] Device (device 3c:2e:ff:31:32:59) threshold hit: 18564 bytes
3c:2e:ff:31:32:59 seen at: [1521926768.756529, 1521926769.758929, 1521926770.7622838]
This runs examples/plugin_example1.py
every time 3c:2e:ff:31:32:59
is seen sending/receiving 10 bytes or more.
trackerjacker plugins are simply python files that contain either:
Trigger
class which defines a__call__(**kwargs)
method (example:examples/plugin_example1.py
)trigger(**kwargs)
function (example:examples/plugin_example2.py
)
And optionally a __apiversion__ = 1
line (for future backward compatibility)
Example: Configuring with config file
trackerjacker.py -c my_config.json
And here’s the example config file called my_config.json
:
{
"iface": "wlan1337",
"devices_to_watch": {"5f:cb:53:1c:8a:2c": 1000, "32:44:1b:d7:a1:5b": 2000},
"aps_to_watch": {"c6:23:ef:33:cc:a2": 500},
"threshold_window": 10,
"channels_to_monitor": [1, 6, 11, 52],
"channel_switch_scheme": "round_robin"
}
A few notes about this:
threshold_bytes
is the default threshold of bytes which, if seen, a causes the alert function to be calledthreshold_window
is the time window in which thethreshold_bytes
is analyzed.devices_to_watch
is a list which can contain either strings (representing MACs) or dicts (which allow the specification of aname
andthreshold
)name
is simply what a label you want to be printed when this device is seen.threshold
in the “Security camera” is how many bytes must be seen
channels_to_monitor
- list of 802.11 wifi channels to monitor. The list of channels your wifi card supports is printed when trackerjacker starts up. By default, all supported channels are monitored.channel_switch_scheme
- eitherdefault
,round_robin
, ortraffic_based
.traffic_based
determines the channels of most traffic, and probabilistically monitors them more.
Example: Enable/Disable monitor mode on interface
Trackerjacker comes with a few other utility functions relevant to WiFi hacking. One of these is the ability to turn on monitor mode on a specific interface.
Enable monitor mode:
trackerjacker --monitor-mode-on -i wlan0
Disable monitor mode:
trackerjacker --monitor-mode-off -i wlan0mon
Note that trackerjacker will automatically enable/disable monitor mode if necessary. This functionality is just useful if you want to enable monitor mode on an interface for use with other applications (or for quicker starup of trackerjacker, if you plan to be starting/exiting to test stuff).
Example: Set adapter channel
trackerjacker --set-channel 11 -i wlan0
Note that trackerjacker will automatically switch channels as necessary during normal map/track actions. This option is just useful if you want to set the channel on an interface for use with other applications.
Recommended hardware
- Panda PAU07 N600 Dual Band (nice, small, 2.4GHz and 5GHz)
- Panda PAU09 N600 Dual Band (higher power, 2.4GHz and 5GHz)
- Alfa AWUS052NH Dual-Band 2x 5dBi (high power, 2.4GHz and 5GHz, large, ugly)
- TP-Link N150 (works well, but not dual band)
Roadmap
- Hosted in PyPI
- Radio signal strength for APs
- Radio signal strength for individual macs
- Build map by data exchanged (exclude beacons)
- Packet count by AP
- Packet count by MAC
- Easier way to input per-device tracking thresholds
- Plugin system
- Fox hunt mode
- Tracking by SSID (and not just BSSID)
- Basic macOS (OS X) support (pre-alpha)
- macOS support: get signal strength values correct (will be fixed in https://github.com/secdev/scapy/pull/1381
- macOS support: reverse airport binary to determine how to set true monitor mode
- macOS support: diverse interface support (not just
en0
) - macOS support: get interface supported channels
- Mapping a specific SSID
- Performance enhancement: not shelling out for channel switching
- “Jack” mode - deauth attacks