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evilsocket
2019-09-19 15:15:46 +02:00
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139
sdcard/rootfs/root/pwnagotchi/config.yml Normal file
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# main algorithm configuration
main:
# monitor interface to use
iface: mon0
# command to run to bring the mon interface up in case it's not up already
mon_start_cmd: /usr/bin/monstart
mon_stop_cmd: /usr/bin/monstop
mon_max_blind_epochs: 50
# log file
log: /var/log/pwnagotchi.log
# if true, will not restart the wifi module
no_restart: false
# access points to ignore
whitelist:
- Casa-2.4
- LOTS_OF_MALWARE
# if not null, filter access points by this regular expression
filter: null
# cryptographic key for identity
pubkey: /etc/ssh/ssh_host_rsa_key.pub
ai:
# if false, only the default 'personality' will be used
enabled: true
path: /root/brain.nn
# 1.0 - laziness = probability of start training
laziness: 0.1
# how many epochs to train on
epochs_per_episode: 50
params:
# discount factor
gamma: 0.99
# the number of steps to run for each environment per update
n_steps: 1
# value function coefficient for the loss calculation
vf_coef: 0.25
# entropy coefficient for the loss calculation
ent_coef: 0.01
# maximum value for the gradient clipping
max_grad_norm: 0.5
# the learning rate
learning_rate: 0.0010
# rmsprop decay parameter
alpha: 0.99
# rmsprop epsilon
epsilon: 0.00001
# the verbosity level: 0 none, 1 training information, 2 tensorflow debug
verbose: 1
# type of scheduler for the learning rate update ('linear', 'constant', 'double_linear_con', 'middle_drop' or 'double_middle_drop')
lr_schedule: 'constant'
# the log location for tensorboard (if None, no logging)
tensorboard_log: null
personality:
# advertise our presence
advertise: true
# perform a deauthentication attack to client stations in order to get full or half handshakes
deauth: true
# send association frames to APs in order to get the PMKID
associate: true
# list of channels to recon on, or empty for all channels
channels: []
# minimum WiFi signal strength in dBm
min_rssi: -200
# number of seconds for wifi.ap.ttl
ap_ttl: 120
# number of seconds for wifi.sta.ttl
sta_ttl: 300
# time in seconds to wait during channel recon
recon_time: 30
# number of inactive epochs after which recon_time gets multiplied by recon_inactive_multiplier
max_inactive_scale: 2
# if more than max_inactive_scale epochs are inactive, recon_time *= recon_inactive_multiplier
recon_inactive_multiplier: 2
# time in seconds to wait during channel hopping if activity has been performed
hop_recon_time: 10
# time in seconds to wait during channel hopping if no activity has been performed
min_recon_time: 5
# maximum amount of deauths/associations per BSSID per session
max_interactions: 3
# maximum amount of misses before considering the data stale and triggering a new recon
max_misses_for_recon: 5
# number of active epochs that triggers the excited state
excited_num_epochs: 10
# number of inactive epochs that triggers the bored state
bored_num_epochs: 15
# number of inactive epochs that triggers the sad state
sad_num_epochs: 25
# ui configuration
ui:
# ePaper display can update every 3 secs anyway
fps: 0.3
display:
enabled: true
rotation: 180
video:
enabled: true
address: '10.0.0.2'
port: 8080
# twitter bot data
twitter:
enabled: false
consumer_key: aaa
consumer_secret: aaa
access_token_key: aaa
access_token_secret: aaa
# bettercap rest api configuration
bettercap:
# api scheme://hostname:port username and password
scheme: http
hostname: localhost
port: 8081
username: user
password: pass
# folder where bettercap stores the WPA handshakes, given that
# wifi.handshakes.aggregate will be set to false and individual
# pcap files will be created in order to minimize the chances
# of a single pcap file to get corrupted
handshakes: /root/handshakes
# events to mute in bettercap's events stream
silence:
- ble.device.new
- ble.device.lost
- ble.device.disconnected
- ble.device.connected
- ble.device.service.discovered
- ble.device.characteristic.discovered
- wifi.client.new
- wifi.client.lost
- wifi.client.probe
- wifi.ap.new
- wifi.ap.lost
- mod.started

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sdcard/rootfs/root/pwnagotchi/data/screenrc.auto Normal file
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defutf8 on
shell -${SHELL}
defscrollback 1024
startup_message off
altscreen on
autodetach on
activity "activity in %n (%t)"
bell_msg "bell in %n (%t)"
vbell on
vbell_msg "WTF DUDE ??!!"
vbellwait 1
# set terminal emulator to xterm mode
term xterm
# Make the output buffer large for (fast) xterms.
termcapinfo xterm* ti@:te@
# tell screen how to set colors
termcapinfo xterm 'Co#256:AB=\E[48;5;%dm:AF=\E[38;5;%dm'
# allow bold colors
attrcolor b ".I"
# erase background with current bg color
defbce "on"
# ctrl + { left, right }
bindkey ^[[1;5D prev
bindkey ^[[1;5C next
bindkey ^[[5D prev
bindkey ^[[5C next
bindkey ^[b prev
bindkey ^[f next
bindkey ^[[D prev
bindkey ^[[C next
screen -t shell
screen -t auto-mode /bin/bash -c "/root/pwnagotchi/scripts/main.py"
screen -t bettercap /usr/bin/bettercap -caplet http-ui -eval "!/usr/bin/monstart; set wifi.interface mon0"
select log
backtick 1 0 0 cpuusage
backtick 2 5 5 memusage
hardstatus alwayslastline
hardstatus string '%{= kG}[ %{G}%H %{g}][%= %{= kw}%?%-Lw%?%{r}(%{W}%n*%f%t%?(%u)%?%{r})%{w}%?%+Lw%?%?%= %{g}][cpu %1`][mem %2`][%{B} %m-%d %{W}%c %{g}]'

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sdcard/rootfs/root/pwnagotchi/data/screenrc.manual Normal file
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defutf8 on
shell -${SHELL}
defscrollback 1024
startup_message off
altscreen on
autodetach on
activity "activity in %n (%t)"
bell_msg "bell in %n (%t)"
vbell on
vbell_msg "WTF DUDE ??!!"
vbellwait 1
# set terminal emulator to xterm mode
term xterm
# Make the output buffer large for (fast) xterms.
termcapinfo xterm* ti@:te@
# tell screen how to set colors
termcapinfo xterm 'Co#256:AB=\E[48;5;%dm:AF=\E[38;5;%dm'
# allow bold colors
attrcolor b ".I"
# erase background with current bg color
defbce "on"
# ctrl + { left, right }
bindkey ^[[1;5D prev
bindkey ^[[1;5C next
bindkey ^[[5D prev
bindkey ^[[5C next
bindkey ^[b prev
bindkey ^[f next
bindkey ^[[D prev
bindkey ^[[C next
screen -t shell
screen -t manual-mode /bin/bash -c "/root/pwnagotchi/scripts/main.py --manual"
screen -t bettercap /usr/bin/bettercap -caplet http-ui -eval "!/usr/bin/monstart; set wifi.interface mon0"
select log
backtick 1 0 0 cpuusage
backtick 2 5 5 memusage
hardstatus alwayslastline
hardstatus string '%{= kG}[ %{G}%H %{g}][%= %{= kw}%?%-Lw%?%{r}(%{W}%n*%f%t%?(%u)%?%{r})%{w}%?%+Lw%?%?%= %{g}][cpu %1`][mem %2`][%{B} %m-%d %{W}%c %{g}]'

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/.gitignore generated vendored Normal file
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# Default ignored files
/workspace.xml

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/dictionaries/evilsocket.xml generated Normal file
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<component name="ProjectDictionaryState">
<dictionary name="evilsocket">
<words>
<w>featurize</w>
<w>featurizer</w>
<w>logits</w>
</words>
</dictionary>
</component>

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/inspectionProfiles/profiles_settings.xml generated Normal file
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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/misc.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6" project-jdk-type="Python SDK" />
</project>

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/modules.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/scripts.iml" filepath="$PROJECT_DIR$/.idea/scripts.iml" />
</modules>
</component>
</project>

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sdcard/rootfs/root/pwnagotchi/scripts/.idea/scripts.iml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="TestRunnerService">
<option name="PROJECT_TEST_RUNNER" value="Unittests" />
</component>
</module>

6
sdcard/rootfs/root/pwnagotchi/scripts/.idea/vcs.xml generated Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$/../../../../.." vcs="Git" />
</component>
</project>

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sdcard/rootfs/root/pwnagotchi/scripts/bettercap/__init__.py Normal file
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sdcard/rootfs/root/pwnagotchi/scripts/bettercap/client.py Normal file
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import requests
from requests.auth import HTTPBasicAuth
import core
class Client(object):
def __init__(self, hostname='localhost', scheme='http', port=8081, username='user', password='pass'):
self.hostname = hostname
self.scheme = scheme
self.port = port
self.username = username
self.password = password
self.url = "%s://%s:%d/api" % (scheme, hostname, port)
self.auth = HTTPBasicAuth(username, password)
def _decode(self, r, verbose_errors=True):
try:
return r.json()
except Exception as e:
if r.status_code == 200:
core.log("error while decoding json: error='%s' resp='%s'" % (e, r.text))
else:
err = "error %d: %s" % (r.status_code, r.text.strip())
if verbose_errors:
core.log(err)
raise Exception(err)
return r.text
def session(self):
r = requests.get("%s/session" % self.url, auth=self.auth)
return self._decode(r)
def events(self):
r = requests.get("%s/events" % self.url, auth=self.auth)
return self._decode(r)
def run(self, command, verbose_errors=True):
r = requests.post("%s/session" % self.url, auth=self.auth, json={'cmd': command})
return self._decode(r, verbose_errors=verbose_errors)

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sdcard/rootfs/root/pwnagotchi/scripts/blink.sh Executable file
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#!/bin/bash
for i in `seq 1 $1`;
do
echo 0 >/sys/class/leds/led0/brightness
sleep 0.3
echo 1 >/sys/class/leds/led0/brightness
sleep 0.3
done
echo 0 >/sys/class/leds/led0/brightness
sleep 0.3

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sdcard/rootfs/root/pwnagotchi/scripts/core/__init__.py Normal file
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import sys
import glob
import os
import time
import subprocess
from threading import Lock
from datetime import datetime
logfile = None
loglock = Lock()
def log(msg):
tstamp = str(datetime.now())
line = "[%s] %s" % (tstamp, msg.rstrip())
print(line)
sys.stdout.flush()
if logfile is not None:
with loglock:
with open(logfile, 'a+t') as fp:
fp.write("%s\n" % line)
def secs_to_hhmmss(secs):
mins, secs = divmod(secs, 60)
hours, mins = divmod(mins, 60)
return '%02d:%02d:%02d' % (hours, mins, secs)
def total_unique_handshakes(path):
expr = os.path.join(path, "*.pcap")
return len(glob.glob(expr))
def iface_address(ifname):
output = subprocess.getoutput("/usr/sbin/ifconfig %s" % ifname)
for line in output.split("\n"):
line = line.strip()
if line.startswith("inet "):
return line.split(' ')[1].strip()
return None
def led(on=True):
with open('/sys/class/leds/led0/brightness', 'w+t') as fp:
fp.write("%d" % (0 if on is True else 1))
def blink(times=1, delay=0.3):
for t in range(0, times):
led(True)
time.sleep(delay)
led(False)
time.sleep(delay)
led(True)

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sdcard/rootfs/root/pwnagotchi/scripts/main.py Executable file
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#!/usr/bin/python3
import argparse
import yaml
import time
import traceback
import core
import pwnagotchi
from pwnagotchi.log import SessionParser
import pwnagotchi.voice as voice
from pwnagotchi.agent import Agent
from pwnagotchi.ui.display import Display
parser = argparse.ArgumentParser()
parser.add_argument('-C', '--config', action='store', dest='config', default='/root/pwnagotchi/config.yml')
parser.add_argument('--manual', dest="do_manual", action="store_true", default=False, help="Manual mode.")
parser.add_argument('--clear', dest="do_clear", action="store_true", default=False,
help="Clear the ePaper display and exit.")
args = parser.parse_args()
if args.do_clear:
print("clearing the display ...")
from pwnagotchi.ui.waveshare import EPD
epd = EPD()
epd.init(epd.FULL_UPDATE)
epd.Clear(0xff)
quit()
with open(args.config, 'rt') as fp:
config = yaml.safe_load(fp)
display = Display(config=config, state={'name': '%s>' % pwnagotchi.name()})
agent = Agent(view=display, config=config)
core.log("%s@%s (v%s)" % (pwnagotchi.name(), agent._identity, pwnagotchi.version))
# for key, value in config['personality'].items():
# core.log(" %s: %s" % (key, value))
if args.do_manual:
core.log("entering manual mode ...")
log = SessionParser(config['main']['log'])
core.log("the last session lasted %s (%d completed epochs, trained for %d), average reward:%s (min:%s max:%s)" % (
log.duration_human,
log.epochs,
log.train_epochs,
log.avg_reward,
log.min_reward,
log.max_reward))
while True:
display.on_manual_mode(log)
time.sleep(1)
if config['twitter']['enabled'] and log.is_new() and Agent.is_connected() and log.handshakes > 0:
import tweepy
core.log("detected a new session and internet connectivity!")
picture = '/tmp/pwnagotchi.png'
display.update()
display.image().save(picture, 'png')
display.set('status', 'Tweeting...')
display.update()
try:
auth = tweepy.OAuthHandler(config['twitter']['consumer_key'], config['twitter']['consumer_secret'])
auth.set_access_token(config['twitter']['access_token_key'], config['twitter']['access_token_secret'])
api = tweepy.API(auth)
tweet = voice.on_log_tweet(log)
api.update_with_media(filename=picture, status=tweet)
log.save_session_id()
core.log("tweeted: %s" % tweet)
except Exception as e:
core.log("error: %s" % e)
quit()
core.logfile = config['main']['log']
agent.start_ai()
agent.setup_events()
agent.set_ready()
agent.start_monitor_mode()
agent.start_event_polling()
# print initial stats
agent.next_epoch()
while True:
try:
# recon on all channels
agent.recon()
# get nearby access points grouped by channel
channels = agent.get_access_points_by_channel()
# check for free channels to use
agent.check_channels(channels)
# for each channel
for ch, aps in channels:
agent.set_channel(ch)
if not agent.is_stale() and agent.any_activity():
core.log("%d access points on channel %d" % (len(aps), ch))
# for each ap on this channel
for ap in aps:
# send an association frame in order to get for a PMKID
agent.associate(ap)
# deauth all client stations in order to get a full handshake
for sta in ap['clients']:
agent.deauth(ap, sta)
# An interesting effect of this:
#
# From Pwnagotchi's perspective, the more new access points
# and / or client stations nearby, the longer one epoch of
# its relative time will take ... basically, in Pwnagotchi's universe,
# WiFi electromagnetic fields affect time like gravitational fields
# affect ours ... neat ^_^
agent.next_epoch()
except Exception as e:
core.log("main loop exception: %s" % e)
core.log("%s" % traceback.format_exc())

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/__init__.py Normal file
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import subprocess
version = '1.0.0a'
_name = None
def name():
global _name
if _name is None:
with open('/etc/hostname', 'rt') as fp:
_name = fp.read().strip()
return _name
def mem_usage():
out = subprocess.getoutput("free -m")
for line in out.split("\n"):
line = line.strip()
if line.startswith("Mem:"):
parts = list(map(int, line.split()[1:]))
tot = parts[0]
used = parts[1]
free = parts[2]
return used / tot
return 0
def cpu_load():
with open('/proc/stat', 'rt') as fp:
for line in fp:
line = line.strip()
if line.startswith('cpu '):
parts = list(map(int, line.split()[1:]))
user_n = parts[0]
sys_n = parts[2]
idle_n = parts[3]
tot = user_n + sys_n + idle_n
return (user_n + sys_n) / tot
return 0
def temperature(celsius=True):
with open('/sys/class/thermal/thermal_zone0/temp', 'rt') as fp:
temp = int(fp.read().strip())
c = int(temp / 1000)
return c if celsius else ((c * (9 / 5)) + 32)

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/agent.py Normal file
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import time
import json
import os
import re
import socket
from datetime import datetime
import _thread
import core
from bettercap.client import Client
from pwnagotchi.mesh.advertise import AsyncAdvertiser
from pwnagotchi.ai.train import AsyncTrainer
RECOVERY_DATA_FILE = '/root/.pwnagotchi-recovery'
class Agent(Client, AsyncAdvertiser, AsyncTrainer):
def __init__(self, view, config):
Client.__init__(self, config['bettercap']['hostname'],
config['bettercap']['scheme'],
config['bettercap']['port'],
config['bettercap']['username'],
config['bettercap']['password'])
AsyncAdvertiser.__init__(self, config, view)
AsyncTrainer.__init__(self, config)
self._started_at = time.time()
self._filter = None if config['main']['filter'] is None else re.compile(config['main']['filter'])
self._current_channel = 0
self._view = view
self._access_points = []
self._last_pwnd = None
self._history = {}
self._handshakes = {}
@staticmethod
def is_connected():
try:
socket.create_connection(("www.google.com", 80))
return True
except OSError:
pass
return False
def on_ai_ready(self):
self._view.on_ai_ready()
def set_ready(self):
self._view.on_starting()
def set_free_channel(self, channel):
self._view.on_free_channel(channel)
def set_bored(self):
self._view.on_bored()
def set_sad(self):
self._view.on_sad()
def set_excited(self):
self._view.on_excited()
def set_lonely(self):
self._view.on_lonely()
def set_rebooting(self):
self._view.on_rebooting()
def setup_events(self):
core.log("connecting to %s ..." % self.url)
for tag in self._config['bettercap']['silence']:
try:
self.run('events.ignore %s' % tag, verbose_errors=False)
except Exception as e:
pass
def _reset_wifi_settings(self):
mon_iface = self._config['main']['iface']
self.run('set wifi.interface %s' % mon_iface)
self.run('set wifi.ap.ttl %d' % self._config['personality']['ap_ttl'])
self.run('set wifi.sta.ttl %d' % self._config['personality']['sta_ttl'])
self.run('set wifi.rssi.min %d' % self._config['personality']['min_rssi'])
self.run('set wifi.handshakes.file %s' % self._config['bettercap']['handshakes'])
self.run('set wifi.handshakes.aggregate false')
def start_monitor_mode(self):
mon_iface = self._config['main']['iface']
mon_start_cmd = self._config['main']['mon_start_cmd']
restart = not self._config['main']['no_restart']
has_mon = False
while has_mon is False:
s = self.session()
for iface in s['interfaces']:
if iface['name'] == mon_iface:
core.log("found monitor interface: %s" % iface['name'])
has_mon = True
break
if has_mon is False:
if mon_start_cmd is not None and mon_start_cmd != '':
core.log("starting monitor interface ...")
self.run('!%s' % mon_start_cmd)
else:
core.log("waiting for monitor interface %s ..." % mon_iface)
time.sleep(1)
core.log("handshakes will be collected inside %s" % self._config['bettercap']['handshakes'])
self._reset_wifi_settings()
wifi_running = self.is_module_running('wifi')
if wifi_running and restart:
core.log("restarting wifi module ...")
self.restart('wifi.recon')
self.run('wifi.clear')
elif not wifi_running:
core.log("starting wifi module ...")
self.start('wifi.recon')
self.start_advertising()
def wait_for(self, t, sleeping=True):
self._view.wait(t, sleeping)
self._epoch.track(sleep=True, inc=t)
def check_channels(self, channels):
busy_channels = [ch for ch, aps in channels]
# if we're hopping and no filter is configured
if self._config['personality']['channels'] == [] and self._config['main']['filter'] is None:
# check if any of the non overlapping channels is free
for ch in self._epoch.non_overlapping_channels:
if ch not in busy_channels:
self._epoch.non_overlapping_channels[ch] += 1
core.log("channel %d is free from %d epochs" % (ch, self._epoch.non_overlapping_channels[ch]))
elif self._epoch.non_overlapping_channels[ch] > 0:
self._epoch.non_overlapping_channels[ch] -= 1
# report any channel that has been free for at least 3 epochs
for ch, num_epochs_free in self._epoch.non_overlapping_channels.items():
if num_epochs_free >= 3:
core.log("channel %d has been free for %d epochs" % (ch, num_epochs_free))
self.set_free_channel(ch)
def recon(self):
recon_time = self._config['personality']['recon_time']
max_inactive = self._config['personality']['max_inactive_scale']
recon_mul = self._config['personality']['recon_inactive_multiplier']
channels = self._config['personality']['channels']
if self._epoch.inactive_for >= max_inactive:
recon_time *= recon_mul
self._view.set('channel', '*')
if not channels:
self._current_channel = 0
# core.log("RECON %ds" % recon_time)
self.run('wifi.recon.channel clear')
else:
# core.log("RECON %ds ON CHANNELS %s" % (recon_time, ','.join(map(str, channels))))
try:
self.run('wifi.recon.channel %s' % ','.join(map(str, channels)))
except Exception as e:
core.log("error: %s" % e)
self.wait_for(recon_time, sleeping=False)
def _filter_included(self, ap):
return self._filter is None or \
self._filter.match(ap['hostname']) is not None or \
self._filter.match(ap['mac']) is not None
def set_access_points(self, aps):
self._access_points = aps
self._epoch.observe(aps, self._advertiser.peers() if self._advertiser is not None else ())
return self._access_points
def get_access_points(self):
whitelist = self._config['main']['whitelist']
aps = []
try:
s = self.session()
for ap in s['wifi']['aps']:
if ap['hostname'] not in whitelist:
if self._filter_included(ap):
aps.append(ap)
except Exception as e:
core.log("error: %s" % e)
aps.sort(key=lambda ap: ap['channel'])
return self.set_access_points(aps)
def get_access_points_by_channel(self):
aps = self.get_access_points()
channels = self._config['personality']['channels']
grouped = {}
# group by channel
for ap in aps:
ch = ap['channel']
# if we're sticking to a channel, skip anything
# which is not on that channel
if channels != [] and ch not in channels:
continue
if ch not in grouped:
grouped[ch] = [ap]
else:
grouped[ch].append(ap)
# sort by more populated channels
return sorted(grouped.items(), key=lambda kv: len(kv[1]), reverse=True)
def _find_ap_sta_in(self, station_mac, ap_mac, session):
for ap in session['wifi']['aps']:
if ap['mac'] == ap_mac:
for sta in ap['clients']:
if sta['mac'] == station_mac:
return (ap, sta)
return (ap, {'mac': station_mac, 'vendor': ''})
return None
def _update_uptime(self, s):
secs = time.time() - self._started_at
self._view.set('uptime', core.secs_to_hhmmss(secs))
self._view.set('epoch', '%04d' % self._epoch.epoch)
def _update_counters(self):
tot_aps = len(self._access_points)
tot_stas = sum(len(ap['clients']) for ap in self._access_points)
if self._current_channel == 0:
self._view.set('aps', '%d' % tot_aps)
self._view.set('sta', '%d' % tot_stas)
else:
aps_on_channel = len([ap for ap in self._access_points if ap['channel'] == self._current_channel])
stas_on_channel = sum(
[len(ap['clients']) for ap in self._access_points if ap['channel'] == self._current_channel])
self._view.set('aps', '%d (%d)' % (aps_on_channel, tot_aps))
self._view.set('sta', '%d (%d)' % (stas_on_channel, tot_stas))
def _update_handshakes(self, new_shakes=0):
if new_shakes > 0:
self._epoch.track(handshake=True, inc=new_shakes)
tot = core.total_unique_handshakes(self._config['bettercap']['handshakes'])
txt = '%d (%d)' % (len(self._handshakes), tot)
if self._last_pwnd is not None:
txt += ' [%s]' % self._last_pwnd
self._view.set('shakes', txt)
if new_shakes > 0:
self._view.on_handshakes(new_shakes)
def _update_advertisement(self, s):
run_handshakes = len(self._handshakes)
tot_handshakes = core.total_unique_handshakes(self._config['bettercap']['handshakes'])
started = s['started_at'].split('.')[0]
started = datetime.strptime(started, '%Y-%m-%dT%H:%M:%S')
started = time.mktime(started.timetuple())
self._advertiser.update({ \
'pwnd_run': run_handshakes,
'pwnd_tot': tot_handshakes,
'uptime': time.time() - started,
'epoch': self._epoch.epoch})
def _update_peers(self):
peer = self._advertiser.closest_peer()
self._view.set_closest_peer(peer)
def _save_recovery_data(self):
core.log("writing recovery data to %s ..." % RECOVERY_DATA_FILE)
with open(RECOVERY_DATA_FILE, 'w') as fp:
data = {
'started_at': self._started_at,
'epoch': self._epoch.epoch,
'history': self._history,
'handshakes': self._handshakes,
'last_pwnd': self._last_pwnd
}
json.dump(data, fp)
def _load_recovery_data(self, delete=True, no_exceptions=True):
try:
with open(RECOVERY_DATA_FILE, 'rt') as fp:
data = json.load(fp)
core.log("found recovery data: %s" % data)
self._started_at = data['started_at']
self._epoch.epoch = data['epoch']
self._handshakes = data['handshakes']
self._history = data['history']
self._last_pwnd = data['last_pwnd']
if delete:
core.log("deleting %s" % RECOVERY_DATA_FILE)
os.unlink(RECOVERY_DATA_FILE)
except:
if not no_exceptions:
raise
def _event_poller(self):
self._load_recovery_data()
self.run('events.clear')
core.log("event polling started ...")
while True:
time.sleep(1)
new_shakes = 0
s = self.session()
self._update_uptime(s)
if self._advertiser is not None:
self._update_advertisement(s)
self._update_peers()
self._update_counters()
try:
for h in [e for e in self.events() if e['tag'] == 'wifi.client.handshake']:
sta_mac = h['data']['station']
ap_mac = h['data']['ap']
key = "%s -> %s" % (sta_mac, ap_mac)
if key not in self._handshakes:
self._handshakes[key] = h
new_shakes += 1
apsta = self._find_ap_sta_in(sta_mac, ap_mac, s)
if apsta is None:
core.log("!!! captured new handshake: %s !!!" % key)
self._last_pwnd = ap_mac
else:
(ap, sta) = apsta
self._last_pwnd = ap['hostname'] if ap['hostname'] != '' and ap[
'hostname'] != '<hidden>' else ap_mac
core.log("!!! captured new handshake on channel %d: %s (%s) -> %s [%s (%s)] !!!" % ( \
ap['channel'],
sta['mac'], sta['vendor'],
ap['hostname'], ap['mac'], ap['vendor']))
except Exception as e:
core.log("error: %s" % e)
finally:
self._update_handshakes(new_shakes)
def start_event_polling(self):
_thread.start_new_thread(self._event_poller, ())
def is_module_running(self, module):
s = self.session()
for m in s['modules']:
if m['name'] == module:
return m['running']
return False
def start(self, module):
self.run('%s on' % module)
def restart(self, module):
self.run('%s off; %s on' % (module, module))
def _has_handshake(self, bssid):
for key in self._handshakes:
if bssid.lower() in key:
return True
return False
def _should_interact(self, who):
if self._has_handshake(who):
return False
elif who not in self._history:
self._history[who] = 1
return True
else:
self._history[who] += 1
return self._history[who] < self._config['personality']['max_interactions']
def _on_miss(self, who):
core.log("it looks like %s is not in range anymore :/" % who)
self._epoch.track(miss=True)
self._view.on_miss(who)
def _on_error(self, who, e):
error = "%s" % e
# when we're trying to associate or deauth something that is not in range anymore
# (if we are moving), we get the following error from bettercap:
# error 400: 50:c7:bf:2e:d3:37 is an unknown BSSID or it is in the association skip list.
if 'is an unknown BSSID' in error:
self._on_miss(who)
else:
core.log("error: %s" % e)
def associate(self, ap, throttle=0):
if self.is_stale():
core.log("recon is stale, skipping assoc(%s)" % ap['mac'])
return
if self._config['personality']['associate'] and self._should_interact(ap['mac']):
self._view.on_assoc(ap)
try:
core.log("sending association frame to %s (%s %s) on channel %d [%d clients]..." % ( \
ap['hostname'], ap['mac'], ap['vendor'], ap['channel'], len(ap['clients'])))
self.run('wifi.assoc %s' % ap['mac'])
self._epoch.track(assoc=True)
except Exception as e:
self._on_error(ap['mac'], e)
if throttle > 0:
time.sleep(throttle)
self._view.on_normal()
def deauth(self, ap, sta, throttle=0):
if self.is_stale():
core.log("recon is stale, skipping deauth(%s)" % sta['mac'])
return
if self._config['personality']['deauth'] and self._should_interact(sta['mac']):
self._view.on_deauth(sta)
try:
core.log("deauthing %s (%s) from %s (%s %s) on channel %d ..." % (
sta['mac'], sta['vendor'], ap['hostname'], ap['mac'], ap['vendor'], ap['channel']))
self.run('wifi.deauth %s' % sta['mac'])
self._epoch.track(deauth=True)
except Exception as e:
self._on_error(sta['mac'], e)
if throttle > 0:
time.sleep(throttle)
self._view.on_normal()
def set_channel(self, channel, verbose=True):
if self.is_stale():
core.log("recon is stale, skipping set_channel(%d)" % channel)
return
# if in the previous loop no client stations has been deauthenticated
# and only association frames have been sent, we don't need to wait
# very long before switching channel as we don't have to wait for
# such client stations to reconnect in order to sniff the handshake.
wait = 0
if self._epoch.did_deauth:
wait = self._config['personality']['hop_recon_time']
elif self._epoch.did_associate:
wait = self._config['personality']['min_recon_time']
if channel != self._current_channel:
if self._current_channel != 0 and wait > 0:
if verbose:
core.log("waiting for %ds on channel %d ..." % (wait, self._current_channel))
self.wait_for(wait)
if verbose and self._epoch.any_activity:
core.log("CHANNEL %d" % channel)
try:
self.run('wifi.recon.channel %d' % channel)
self._current_channel = channel
self._epoch.track(hop=True)
self._view.set('channel', '%d' % channel)
except Exception as e:
core.log("error: %s" % e)
def is_stale(self):
return self._epoch.num_missed > self._config['personality']['max_misses_for_recon']
def any_activity(self):
return self._epoch.any_activity
def _reboot(self):
self.set_rebooting()
self._save_recovery_data()
core.log("rebooting the system ...")
os.system("/usr/bin/sync")
os.system("/usr/sbin/shutdown -r now")
def next_epoch(self):
was_stale = self.is_stale()
did_miss = self._epoch.num_missed
self._epoch.next()
# after X misses during an epoch, set the status to lonely
if was_stale:
core.log("agent missed %d interactions -> lonely" % did_miss)
self.set_lonely()
# after X times being bored, the status is set to sad
elif self._epoch.inactive_for >= self._config['personality']['sad_num_epochs']:
core.log("%d epochs with no activity -> sad" % self._epoch.inactive_for)
self.set_sad()
# after X times being inactive, the status is set to bored
elif self._epoch.inactive_for >= self._config['personality']['bored_num_epochs']:
core.log("%d epochs with no activity -> bored" % self._epoch.inactive_for)
self.set_bored()
# after X times being active, the status is set to happy / excited
elif self._epoch.active_for >= self._config['personality']['excited_num_epochs']:
core.log("%d epochs with activity -> excited" % self._epoch.active_for)
self.set_excited()
if self._epoch.blind_for >= self._config['main']['mon_max_blind_epochs']:
core.log("%d epochs without visible access points -> rebooting ..." % self._epoch.blind_for)
self._reboot()
self._epoch.blind_for = 0

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import os
# https://stackoverflow.com/questions/40426502/is-there-a-way-to-suppress-the-messages-tensorflow-prints/40426709
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
import warnings
# https://stackoverflow.com/questions/15777951/how-to-suppress-pandas-future-warning
warnings.simplefilter(action='ignore', category=FutureWarning)
import core
def load(config, agent, epoch, from_disk=True):
config = config['ai']
if not config['enabled']:
core.log("ai disabled")
return False
core.log("[ai] bootstrapping dependencies ...")
from stable_baselines import A2C
from stable_baselines.common.policies import MlpLstmPolicy
from stable_baselines.common.vec_env import DummyVecEnv
import pwnagotchi.ai.gym as wrappers
env = wrappers.Environment(agent, epoch)
env = DummyVecEnv([lambda: env])
core.log("[ai] bootstrapping model ...")
a2c = A2C(MlpLstmPolicy, env, **config['params'])
if from_disk and os.path.exists(config['path']):
core.log("[ai] loading %s ..." % config['path'])
a2c.load(config['path'], env)
else:
core.log("[ai] model created:")
for key, value in config['params'].items():
core.log(" %s: %s" % (key, value))
return a2c

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import time
import threading
import core
import pwnagotchi
import pwnagotchi.mesh.wifi as wifi
from pwnagotchi.ai.reward import RewardFunction
class Epoch(object):
def __init__(self, config):
self.epoch = 0
self.config = config
# how many consecutive epochs with no activity
self.inactive_for = 0
# how many consecutive epochs with activity
self.active_for = 0
# number of epochs with no visible access points
self.blind_for = 0
# did deauth in this epoch in the current channel?
self.did_deauth = False
# number of deauths in this epoch
self.num_deauths = 0
# did associate in this epoch in the current channel?
self.did_associate = False
# number of associations in this epoch
self.num_assocs = 0
# number of assocs or deauths missed
self.num_missed = 0
# did get any handshake in this epoch?
self.did_handshakes = False
# number of handshakes captured in this epoch
self.num_shakes = 0
# number of channels hops
self.num_hops = 0
# number of seconds sleeping
self.num_slept = 0
# any activity at all during this epoch?
self.any_activity = False
# when the current epoch started
self.epoch_started = time.time()
# last epoch duration
self.epoch_duration = 0
# https://www.metageek.com/training/resources/why-channels-1-6-11.html
self.non_overlapping_channels = {1: 0, 6: 0, 11: 0}
# observation vectors
self._observation = {
'aps_histogram': [0.0] * wifi.NumChannels,
'sta_histogram': [0.0] * wifi.NumChannels,
'peers_histogram': [0.0] * wifi.NumChannels
}
self._observation_ready = threading.Event()
self._epoch_data = {}
self._epoch_data_ready = threading.Event()
self._reward = RewardFunction()
def wait_for_epoch_data(self, with_observation=True, timeout=None):
# if with_observation:
# self._observation_ready.wait(timeout)
# self._observation_ready.clear()
self._epoch_data_ready.wait(timeout)
self._epoch_data_ready.clear()
return self._epoch_data if with_observation is False else {**self._observation, **self._epoch_data}
def data(self):
return self._epoch_data
def observe(self, aps, peers):
num_aps = len(aps)
if num_aps == 0:
self.blind_for += 1
else:
self.blind_for = 0
num_aps = len(aps) + 1e-10
num_sta = sum(len(ap['clients']) for ap in aps) + 1e-10
num_peers = len(peers) + 1e-10
aps_per_chan = [0.0] * wifi.NumChannels
sta_per_chan = [0.0] * wifi.NumChannels
peers_per_chan = [0.0] * wifi.NumChannels
for ap in aps:
ch_idx = ap['channel'] - 1
try:
aps_per_chan[ch_idx] += 1.0
sta_per_chan[ch_idx] += len(ap['clients'])
except IndexError as e:
core.log("got data on channel %d, we can store %d channels" % (ap['channel'], wifi.NumChannels))
for peer in peers:
try:
peers_per_chan[peer.last_channel - 1] += 1.0
except IndexError as e:
core.log("got peer data on channel %d, we can store %d channels" % (peer.last_channel, wifi.NumChannels))
# normalize
aps_per_chan = [e / num_aps for e in aps_per_chan]
sta_per_chan = [e / num_sta for e in sta_per_chan]
peers_per_chan = [e / num_peers for e in peers_per_chan]
self._observation = {
'aps_histogram': aps_per_chan,
'sta_histogram': sta_per_chan,
'peers_histogram': peers_per_chan
}
self._observation_ready.set()
def track(self, deauth=False, assoc=False, handshake=False, hop=False, sleep=False, miss=False, inc=1):
if deauth:
self.num_deauths += inc
self.did_deauth = True
self.any_activity = True
if assoc:
self.num_assocs += inc
self.did_associate = True
self.any_activity = True
if miss:
self.num_missed += inc
if hop:
self.num_hops += inc
# these two are used in order to determine the sleep time in seconds
# before switching to a new channel ... if nothing happened so far
# during this epoch on the current channel, we will sleep less
self.did_deauth = False
self.did_associate = False
if handshake:
self.num_shakes += inc
self.did_handshakes = True
if sleep:
self.num_slept += inc
def next(self):
if self.any_activity is False and self.did_handshakes is False:
self.inactive_for += 1
self.active_for = 0
else:
self.active_for += 1
self.inactive_for = 0
now = time.time()
cpu = pwnagotchi.cpu_load()
mem = pwnagotchi.mem_usage()
temp = pwnagotchi.temperature()
self.epoch_duration = now - self.epoch_started
# cache the state of this epoch for other threads to read
self._epoch_data = {
'duration_secs': self.epoch_duration,
'slept_for_secs': self.num_slept,
'blind_for_epochs': self.blind_for,
'inactive_for_epochs': self.inactive_for,
'active_for_epochs': self.active_for,
'missed_interactions': self.num_missed,
'num_hops': self.num_hops,
'num_deauths': self.num_deauths,
'num_associations': self.num_assocs,
'num_handshakes': self.num_shakes,
'cpu_load': cpu,
'mem_usage': mem,
'temperature': temp
}
self._epoch_data['reward'] = self._reward(self.epoch + 1, self._epoch_data)
self._epoch_data_ready.set()
core.log("[epoch %d] duration=%s slept_for=%s blind=%d inactive=%d active=%d hops=%d missed=%d "
"deauths=%d assocs=%d handshakes=%d cpu=%d%% mem=%d%% temperature=%dC reward=%s" % (
self.epoch,
core.secs_to_hhmmss(self.epoch_duration),
core.secs_to_hhmmss(self.num_slept),
self.blind_for,
self.inactive_for,
self.active_for,
self.num_hops,
self.num_missed,
self.num_deauths,
self.num_assocs,
self.num_shakes,
cpu * 100,
mem * 100,
temp,
self._epoch_data['reward']))
self.epoch += 1
self.epoch_started = now
self.did_deauth = False
self.num_deauths = 0
self.did_associate = False
self.num_assocs = 0
self.num_missed = 0
self.did_handshakes = False
self.num_shakes = 0
self.num_hops = 0
self.num_slept = 0
self.any_activity = False

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import numpy as np
import pwnagotchi.mesh.wifi as wifi
MAX_EPOCH_DURATION = 1024
histogram_size = wifi.NumChannels
shape = (1,
# aps per channel
histogram_size +
# clients per channel
histogram_size +
# peers per channel
histogram_size +
# duration
1 +
# inactive
1 +
# active
1 +
# missed
1 +
# hops
1 +
# deauths
1 +
# assocs
1 +
# handshakes
1)
def featurize(state, step):
tot_epochs = step + 1e-10
tot_interactions = (state['num_deauths'] + state['num_associations']) + 1e-10
return np.concatenate((
# aps per channel
state['aps_histogram'],
# clients per channel
state['sta_histogram'],
# peers per channel
state['peers_histogram'],
# duration
[np.clip(state['duration_secs'] / MAX_EPOCH_DURATION, 0.0, 1.0)],
# inactive
[state['inactive_for_epochs'] / tot_epochs],
# active
[state['active_for_epochs'] / tot_epochs],
# missed
[state['missed_interactions'] / tot_interactions],
# hops
[state['num_hops'] / wifi.NumChannels],
# deauths
[state['num_deauths'] / tot_interactions],
# assocs
[state['num_associations'] / tot_interactions],
# handshakes
[state['num_handshakes'] / tot_interactions],
))

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import gym
from gym import spaces
import numpy as np
import core
import pwnagotchi.ai.featurizer as featurizer
import pwnagotchi.ai.reward as reward
from pwnagotchi.ai.parameter import Parameter
class Environment(gym.Env):
metadata = {'render.modes': ['human']}
params = [
# Parameter('advertise', trainable=False),
# Parameter('deauth', trainable=False),
# Parameter('associate', trainable=False),
Parameter('min_rssi', min_value=-200, max_value=-50),
Parameter('ap_ttl', min_value=30, max_value=600),
Parameter('sta_ttl', min_value=60, max_value=300),
Parameter('recon_time', min_value=5, max_value=60),
Parameter('max_inactive_scale', min_value=3, max_value=10),
Parameter('recon_inactive_multiplier', min_value=1, max_value=3),
Parameter('hop_recon_time', min_value=5, max_value=60),
Parameter('min_recon_time', min_value=1, max_value=30),
Parameter('max_interactions', min_value=1, max_value=25),
Parameter('max_misses_for_recon', min_value=3, max_value=10),
Parameter('excited_num_epochs', min_value=5, max_value=30),
Parameter('bored_num_epochs', min_value=5, max_value=30),
Parameter('sad_num_epochs', min_value=5, max_value=30),
] + [
Parameter('_channel_%d' % ch, min_value=0, max_value=1, meta=ch + 1) for ch in
range(featurizer.histogram_size)
]
def __init__(self, agent, epoch):
super(Environment, self).__init__()
self._agent = agent
self._epoch = epoch
self._epoch_num = 0
self._last_render = None
self.last = {
'reward': 0.0,
'observation': None,
'policy': None,
'params': {},
'state': None,
'state_v': None
}
self.action_space = spaces.MultiDiscrete([p.space_size() for p in Environment.params if p.trainable])
self.observation_space = spaces.Box(low=0, high=1, shape=featurizer.shape, dtype=np.float32)
self.reward_range = reward.range
@staticmethod
def policy_size():
return len(list(p for p in Environment.params if p.trainable))
@staticmethod
def policy_to_params(policy):
num = len(policy)
params = {}
assert len(Environment.params) == num
channels = []
for i in range(num):
param = Environment.params[i]
if '_channel' not in param.name:
params[param.name] = param.to_param_value(policy[i])
else:
has_chan = param.to_param_value(policy[i])
# print("%s policy:%s bool:%s" % (param.name, policy[i], has_chan))
chan = param.meta
if has_chan:
channels.append(chan)
params['channels'] = channels
return params
def _next_epoch(self):
# core.log("[ai] waiting for epoch to finish ...")
return self._epoch.wait_for_epoch_data()
def _apply_policy(self, policy):
new_params = Environment.policy_to_params(policy)
self.last['policy'] = policy
self.last['params'] = new_params
self._agent.on_ai_policy(new_params)
def step(self, policy):
# create the parameters from the policy and update
# update them in the algorithm
self._apply_policy(policy)
self._epoch_num += 1
# wait for the algorithm to run with the new parameters
state = self._next_epoch()
self.last['reward'] = state['reward']
self.last['state'] = state
self.last['state_v'] = featurizer.featurize(state, self._epoch_num)
self._agent.on_ai_step()
return self.last['state_v'], self.last['reward'], not self._agent.is_training(), {}
def reset(self):
# core.log("[ai] resetting environment ...")
self._epoch_num = 0
state = self._next_epoch()
self.last['state'] = state
self.last['state_v'] = featurizer.featurize(state, 1)
return self.last['state_v']
def _render_histogram(self, hist):
for ch in range(featurizer.histogram_size):
if hist[ch]:
core.log(" CH %d: %s" % (ch + 1, hist[ch]))
def render(self, mode='human', close=False, force=False):
# when using a vectorialized environment, render gets called twice
# avoid rendering the same data
if self._last_render == self._epoch_num:
return
if not self._agent.is_training() and not force:
return
self._last_render = self._epoch_num
core.log("[ai] --- training epoch %d/%d ---" % (self._epoch_num, self._agent.training_epochs()))
core.log("[ai] REWARD: %f" % self.last['reward'])
# core.log("[ai] policy: %s" % ', '.join("%s:%s" % (name, value) for name, value in self.last['params'].items()))
core.log("[ai] observation:")
for name, value in self.last['state'].items():
if 'histogram' in name:
core.log(" %s" % name.replace('_histogram', ''))
self._render_histogram(value)
# core.log("[ai] outcome:")
# for name, value in self.last['state'].items():
# if 'histogram' not in name:
# core.log(" %s: %s" % (name, value))

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from gym import spaces
class Parameter(object):
def __init__(self, name, value=0.0, min_value=0, max_value=2, meta=None, trainable=True):
self.name = name
self.trainable = trainable
self.meta = meta
self.value = value
self.min_value = min_value
self.max_value = max_value + 1
# gym.space.Discrete is within [0, 1, 2, ..., n-1]
if self.min_value < 0:
self.scale_factor = abs(self.min_value)
elif self.min_value > 0:
self.scale_factor = -self.min_value
else:
self.scale_factor = 0
def space_size(self):
return self.max_value + self.scale_factor
def space(self):
return spaces.Discrete(self.max_value + self.scale_factor)
def to_param_value(self, policy_v):
self.value = policy_v - self.scale_factor
assert self.min_value <= self.value <= self.max_value
return int(self.value)

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import pwnagotchi.mesh.wifi as wifi
range = (-.7, 1.02)
fuck_zero = 1e-20
class RewardFunction(object):
def __call__(self, epoch_n, state):
tot_epochs = epoch_n + fuck_zero
tot_interactions = max(state['num_deauths'] + state['num_associations'], state['num_handshakes']) + fuck_zero
tot_channels = wifi.NumChannels
h = state['num_handshakes'] / tot_interactions
a = .2 * (state['active_for_epochs'] / tot_epochs)
c = .1 * (state['num_hops'] / tot_channels)
b = -.3 * (state['blind_for_epochs'] / tot_epochs)
m = -.3 * (state['missed_interactions'] / tot_interactions)
i = -.2 * (state['inactive_for_epochs'] / tot_epochs)
return h + a + c + b + i + m

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import _thread
import threading
import time
import random
import os
import json
import core
import pwnagotchi.ai as ai
from pwnagotchi.ai.epoch import Epoch
class Stats(object):
def __init__(self, path, events_receiver):
self._lock = threading.Lock()
self._receiver = events_receiver
self.path = path
self.born_at = time.time()
# total epochs lived (trained + just eval)
self.epochs_lived = 0
# total training epochs
self.epochs_trained = 0
self.worst_reward = 0.0
self.best_reward = 0.0
self.load()
def on_epoch(self, data, training):
best_r = False
worst_r = False
with self._lock:
reward = data['reward']
if reward < self.worst_reward:
self.worst_reward = reward
worst_r = True
elif reward > self.best_reward:
best_r = True
self.best_reward = reward
self.epochs_lived += 1
if training:
self.epochs_trained += 1
self.save()
if best_r:
self._receiver.on_ai_best_reward(reward)
elif worst_r:
self._receiver.on_ai_worst_reward(reward)
def load(self):
with self._lock:
if os.path.exists(self.path):
core.log("[ai] loading %s" % self.path)
with open(self.path, 'rt') as fp:
obj = json.load(fp)
self.born_at = obj['born_at']
self.epochs_lived, self.epochs_trained = obj['epochs_lived'], obj['epochs_trained']
self.best_reward, self.worst_reward = obj['rewards']['best'], obj['rewards']['worst']
def save(self):
with self._lock:
core.log("[ai] saving %s" % self.path)
with open(self.path, 'wt') as fp:
json.dump({
'born_at': self.born_at,
'epochs_lived': self.epochs_lived,
'epochs_trained': self.epochs_trained,
'rewards': {
'best': self.best_reward,
'worst': self.worst_reward
}
}, fp)
class AsyncTrainer(object):
def __init__(self, config):
self._config = config
self._model = None
self._epoch = Epoch(config)
self._is_training = False
self._training_epochs = 0
self._nn_path = self._config['ai']['path']
self._stats = Stats("%s.json" % os.path.splitext(self._nn_path)[0], self)
def set_training(self, training, for_epochs=0):
self._is_training = training
self._training_epochs = for_epochs
def is_training(self):
return self._is_training
def training_epochs(self):
return self._training_epochs
def start_ai(self):
_thread.start_new_thread(self._ai_worker, ())
def _save_ai(self):
core.log("[ai] saving model to %s ..." % self._nn_path)
self._model.save(self._nn_path)
def on_ai_step(self):
self._model.env.render()
if self._is_training:
self._save_ai()
self._stats.on_epoch(self._epoch.data(), self._is_training)
def on_ai_training_step(self, _locals, _globals):
self._model.env.render()
def on_ai_policy(self, new_params):
core.log("[ai] setting new policy:")
for name, value in new_params.items():
if name in self._config['personality']:
curr_value = self._config['personality'][name]
if curr_value != value:
core.log("[ai] ! %s: %s -> %s" % (name, curr_value, value))
self._config['personality'][name] = value
else:
core.log("[ai] param %s not in personality configuration!" % name)
self.run('set wifi.ap.ttl %d' % self._config['personality']['ap_ttl'])
self.run('set wifi.sta.ttl %d' % self._config['personality']['sta_ttl'])
self.run('set wifi.rssi.min %d' % self._config['personality']['min_rssi'])
def on_ai_best_reward(self, r):
core.log("[ai] best reward so far: %s" % r)
self._view.on_motivated(r)
def on_ai_worst_reward(self, r):
core.log("[ai] worst reward so far: %s" % r)
self._view.on_demotivated(r)
def _ai_worker(self):
self._model = ai.load(self._config, self, self._epoch)
self.on_ai_ready()
epochs_per_episode = self._config['ai']['epochs_per_episode']
obs = None
while True:
self._model.env.render()
# enter in training mode?
if random.random() > self._config['ai']['laziness']:
core.log("[ai] learning for %d epochs ..." % epochs_per_episode)
try:
self.set_training(True, epochs_per_episode)
self._model.learn(total_timesteps=epochs_per_episode, callback=self.on_ai_training_step)
except Exception as e:
core.log("[ai] error while training: %s" % e)
finally:
self.set_training(False)
obs = self._model.env.reset()
# init the first time
elif obs is None:
obs = self._model.env.reset()
# run the inference
action, _ = self._model.predict(obs)
obs, _, _, _ = self._model.env.step(action)

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import numpy as np
def normalize(v, min_v, max_v):
return (v - min_v) / (max_v - min_v)
def as_batches(x, y, batch_size, shuffle=True):
x_size = len(x)
assert x_size == len(y)
indices = np.random.permutation(x_size) if shuffle else None
for offset in range(0, x_size - batch_size + 1, batch_size):
excerpt = indices[offset:offset + batch_size] if shuffle else slice(offset, offset + batch_size)
yield x[excerpt], y[excerpt]

167
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import os
import hashlib
import time
import re
from datetime import datetime
from pwnagotchi.mesh.peer import Peer
from file_read_backwards import FileReadBackwards
LAST_SESSION_FILE = '/root/.pwnagotchi-last-session'
class SessionParser(object):
EPOCH_TOKEN = '[epoch '
EPOCH_PARSER = re.compile(r'^\s*\[epoch (\d+)\] (.+)')
EPOCH_DATA_PARSER = re.compile(r'([a-z_]+)=([^\s]+)')
TRAINING_TOKEN = ' training epoch '
START_TOKEN = 'connecting to http'
DEAUTH_TOKEN = 'deauthing '
ASSOC_TOKEN = 'sending association frame to '
HANDSHAKE_TOKEN = '!!! captured new handshake '
PEER_TOKEN = 'detected unit '
def _get_last_saved_session_id(self):
saved = ''
try:
with open(LAST_SESSION_FILE, 'rt') as fp:
saved = fp.read().strip()
except:
saved = ''
return saved
def save_session_id(self):
with open(LAST_SESSION_FILE, 'w+t') as fp:
fp.write(self.last_session_id)
self.last_saved_session_id = self.last_session_id
def _parse_datetime(self, dt):
dt = datetime.strptime(dt.split('.')[0], '%Y-%m-%d %H:%M:%S')
return time.mktime(dt.timetuple())
def _parse_stats(self):
self.duration = ''
self.duration_human = ''
self.deauthed = 0
self.associated = 0
self.handshakes = 0
self.epochs = 0
self.train_epochs = 0
self.peers = 0
self.last_peer = None
self.min_reward = 1000
self.max_reward = -1000
self.avg_reward = 0
started_at = None
stopped_at = None
cache = {}
for line in self.last_session:
parts = line.split(']')
if len(parts) < 2:
continue
line_timestamp = parts[0].strip('[')
line = ']'.join(parts[1:])
stopped_at = self._parse_datetime(line_timestamp)
if started_at is None:
started_at = stopped_at
if SessionParser.DEAUTH_TOKEN in line and line not in cache:
self.deauthed += 1
cache[line] = 1
elif SessionParser.ASSOC_TOKEN in line and line not in cache:
self.associated += 1
cache[line] = 1
elif SessionParser.HANDSHAKE_TOKEN in line and line not in cache:
self.handshakes += 1
cache[line] = 1
elif SessionParser.TRAINING_TOKEN in line:
self.train_epochs += 1
elif SessionParser.EPOCH_TOKEN in line:
self.epochs += 1
m = SessionParser.EPOCH_PARSER.findall(line)
if m:
epoch_num, epoch_data = m[0]
m = SessionParser.EPOCH_DATA_PARSER.findall(epoch_data)
for key, value in m:
if key == 'reward':
reward = float(value)
self.avg_reward += reward
if reward < self.min_reward:
self.min_reward = reward
elif reward > self.max_reward:
self.max_reward = reward
elif SessionParser.PEER_TOKEN in line:
m = self._peer_parser.findall(line)
if m:
name, pubkey, rssi, sid, pwnd_tot, uptime = m[0]
if pubkey not in cache:
self.last_peer = Peer(sid, 1, int(rssi),
{'name': name,
'identity': pubkey,
'pwnd_tot': int(pwnd_tot)})
self.peers += 1
cache[pubkey] = self.last_peer
else:
cache[pubkey].adv['pwnd_tot'] = pwnd_tot
if started_at is not None:
self.duration = stopped_at - started_at
mins, secs = divmod(self.duration, 60)
hours, mins = divmod(mins, 60)
else:
hours = mins = secs = 0
self.duration = '%02d:%02d:%02d' % (hours, mins, secs)
self.duration_human = []
if hours > 0:
self.duration_human.append('%d hours' % hours)
if mins > 0:
self.duration_human.append('%d minutes' % mins)
if secs > 0:
self.duration_human.append('%d seconds' % secs)
self.duration_human = ', '.join(self.duration_human)
self.avg_reward /= self.epochs
def __init__(self, path='/var/log/pwnagotchi.log'):
self.path = path
self.last_session = None
self.last_session_id = ''
self.last_saved_session_id = ''
self.duration = ''
self.duration_human = ''
self.deauthed = 0
self.associated = 0
self.handshakes = 0
self.peers = 0
self.last_peer = None
self._peer_parser = re.compile(
'detected unit (.+)@(.+) \(v.+\) on channel \d+ \(([\d\-]+) dBm\) \[sid:(.+) pwnd_tot:(\d+) uptime:(\d+)\]')
lines = []
with FileReadBackwards(self.path, encoding="utf-8") as fp:
for line in fp:
line = line.strip()
if line != "" and line[0] != '[':
continue
lines.append(line)
if SessionParser.START_TOKEN in line:
break
lines.reverse()
self.last_session = lines
self.last_session_id = hashlib.md5(lines[0].encode()).hexdigest()
self.last_saved_session_id = self._get_last_saved_session_id()
self._parse_stats()
def is_new(self):
return self.last_session_id != self.last_saved_session_id

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import os
from Crypto.PublicKey import RSA
import hashlib
def new_session_id():
return ':'.join(['%02x' % b for b in os.urandom(6)])
def get_identity(config):
pubkey = None
with open(config['main']['pubkey']) as fp:
pubkey = RSA.importKey(fp.read())
return pubkey, hashlib.sha1(pubkey.exportKey('DER')).hexdigest()

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import time
import json
import _thread
import threading
from scapy.all import Dot11, Dot11FCS, Dot11Elt, RadioTap, sendp, sniff
import core
import pwnagotchi
import pwnagotchi.ui.faces as faces
from pwnagotchi.mesh import get_identity
import pwnagotchi.mesh.wifi as wifi
from pwnagotchi.mesh import new_session_id
from pwnagotchi.mesh.peer import Peer
def _dummy_peer_cb(peer):
pass
class Advertiser(object):
MAX_STALE_TIME = 300
def __init__(self, iface, name, version, identity, period=0.3, data={}):
self._iface = iface
self._period = period
self._running = False
self._stopped = threading.Event()
self._peers_lock = threading.Lock()
self._adv_lock = threading.Lock()
self._new_peer_cb = _dummy_peer_cb
self._lost_peer_cb = _dummy_peer_cb
self._peers = {}
self._frame = None
self._me = Peer(new_session_id(), 0, 0, {
'name': name,
'version': version,
'identity': identity,
'face': faces.FRIEND,
'pwnd_run': 0,
'pwnd_tot': 0,
'uptime': 0,
'epoch': 0,
'data': data
})
self.update()
def update(self, values={}):
with self._adv_lock:
for field, value in values.items():
self._me.adv[field] = value
self._frame = wifi.encapsulate(payload=json.dumps(self._me.adv), addr_from=self._me.session_id)
def on_peer(self, new_cb, lost_cb):
self._new_peer_cb = new_cb
self._lost_peer_cb = lost_cb
def on_face_change(self, old, new):
# core.log("face change: %s -> %s" % (old, new))
self.update({'face': new})
def start(self):
self._running = True
_thread.start_new_thread(self._sender, ())
_thread.start_new_thread(self._listener, ())
_thread.start_new_thread(self._pruner, ())
def num_peers(self):
with self._peers_lock:
return len(self._peers)
def peers(self):
with self._peers_lock:
return list(self._peers.values())
def closest_peer(self):
closest = None
with self._peers_lock:
for ident, peer in self._peers.items():
if closest is None or peer.is_closer(closest):
closest = peer
return closest
def stop(self):
self._running = False
self._stopped.set()
def _sender(self):
core.log("started advertiser thread (period:%s sid:%s) ..." % (str(self._period), self._me.session_id))
while self._running:
try:
sendp(self._frame, iface=self._iface, verbose=False, count=5, inter=self._period)
except Exception as e:
core.log("error: %s" % e)
time.sleep(self._period)
def _on_advertisement(self, src_session_id, channel, rssi, adv):
ident = adv['identity']
with self._peers_lock:
if ident not in self._peers:
peer = Peer(src_session_id, channel, rssi, adv)
core.log("detected unit %s (v%s) on channel %d (%s dBm) [sid:%s pwnd_tot:%d uptime:%d]" % ( \
peer.full_name(),
peer.version(),
channel,
rssi,
src_session_id,
peer.pwnd_total(),
peer.uptime()))
self._peers[ident] = peer
self._new_peer_cb(peer)
else:
self._peers[ident].update(src_session_id, channel, rssi, adv)
def _parse_identity(self, radio, dot11, dot11elt):
payload = b''
while dot11elt:
payload += dot11elt.info
dot11elt = dot11elt.payload.getlayer(Dot11Elt)
if payload != b'':
adv = json.loads(payload)
self._on_advertisement( \
dot11.addr3,
wifi.freq_to_channel(radio.Channel),
radio.dBm_AntSignal,
adv)
def _is_broadcasted_advertisement(self, dot11):
# dst bcast + protocol signature + not ours
return dot11 is not None and \
dot11.addr1 == wifi.BroadcastAddress and \
dot11.addr2 == wifi.SignatureAddress and \
dot11.addr3 != self._me.session_id
def _is_frame_for_us(self, dot11):
# dst is us + protocol signature + not ours (why would we send a frame to ourself anyway?)
return dot11 is not None and \
dot11.addr1 == self._me.session_id and \
dot11.addr2 == wifi.SignatureAddress and \
dot11.addr3 != self._me.session_id
def _on_packet(self, p):
# https://github.com/secdev/scapy/issues/1590
if p.haslayer(Dot11):
dot11 = p[Dot11]
elif p.haslayer(Dot11FCS):
dot11 = p[Dot11FCS]
else:
dot11 = None
if self._is_broadcasted_advertisement(dot11):
try:
dot11elt = p.getlayer(Dot11Elt)
if dot11elt.ID == wifi.Dot11ElemID_Identity:
self._parse_identity(p[RadioTap], dot11, dot11elt)
else:
raise Exception("unknown frame id %d" % dot11elt.ID)
except Exception as e:
core.log("error decoding packet from %s: %s" % (dot11.addr3, e))
def _listener(self):
# core.log("started advertisements listener ...")
expr = "type mgt subtype beacon and ether src %s" % wifi.SignatureAddress
sniff(iface=self._iface, filter=expr, prn=self._on_packet, store=0, stop_filter=lambda x: self._stopped.isSet())
def _pruner(self):
while self._running:
time.sleep(10)
with self._peers_lock:
stale = []
for ident, peer in self._peers.items():
inactive_for = peer.inactive_for()
if inactive_for >= Advertiser.MAX_STALE_TIME:
core.log("peer %s lost (inactive for %ds)" % (peer.full_name(), inactive_for))
self._lost_peer_cb(peer)
stale.append(ident)
for ident in stale:
del self._peers[ident]
class AsyncAdvertiser(object):
def __init__(self, config, view):
self._config = config
self._view = view
self._public_key, self._identity = get_identity(config)
self._advertiser = None
def start_advertising(self):
_thread.start_new_thread(self._adv_worker, ())
def _adv_worker(self):
# this will take some time due to scapy being slow to be imported ...
from pwnagotchi.mesh.advertise import Advertiser
self._advertiser = Advertiser(
self._config['main']['iface'],
pwnagotchi.name(),
pwnagotchi.version,
self._identity,
period=0.3,
data=self._config['personality'])
self._advertiser.on_peer(self._on_new_unit, self._on_lost_unit)
if self._config['personality']['advertise']:
self._advertiser.start()
self._view.on_state_change('face', self._advertiser.on_face_change)
else:
core.log("advertising is disabled")
def _on_new_unit(self, peer):
self._view.on_new_peer(peer)
def _on_lost_unit(self, peer):
self._view.on_lost_peer(peer)

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import time
import pwnagotchi.mesh.wifi as wifi
import pwnagotchi.ui.faces as faces
import core
class Peer(object):
def __init__(self, sid, channel, rssi, adv):
self.first_seen = time.time()
self.last_seen = self.first_seen
self.session_id = sid
self.last_channel = channel
self.presence = [0] * wifi.NumChannels
self.adv = adv
self.rssi = rssi
self.presence[channel - 1] = 1
def update(self, sid, channel, rssi, adv):
if self.name() != adv['name']:
core.log("peer %s changed name: %s -> %s" % (self.full_name(), self.name(), adv['name']))
if self.session_id != sid:
core.log("peer %s changed session id: %s -> %s" % (self.full_name(), self.session_id, sid))
self.presence[channel - 1] += 1
self.adv = adv
self.rssi = rssi
self.session_id = sid
self.last_seen = time.time()
def inactive_for(self):
return time.time() - self.last_seen
def _adv_field(self, name, default='???'):
return self.adv[name] if name in self.adv else default
def face(self):
return self._adv_field('face', default=faces.FRIEND)
def name(self):
return self._adv_field('name')
def identity(self):
return self._adv_field('identity')
def version(self):
return self._adv_field('version')
def pwnd_run(self):
return int(self._adv_field('pwnd_run', default=0))
def pwnd_total(self):
return int(self._adv_field('pwnd_tot', default=0))
def uptime(self):
return self._adv_field('uptime', default=0)
def epoch(self):
return self._adv_field('epoch', default=0)
def full_name(self):
return '%s@%s' % (self.name(), self.identity())
def is_closer(self, other):
return self.rssi > other.rssi

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/mesh/wifi.py Normal file
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SignatureAddress = 'de:ad:be:ef:de:ad'
BroadcastAddress = 'ff:ff:ff:ff:ff:ff'
Dot11ElemID_Identity = 222
NumChannels = 14
def freq_to_channel(freq):
if freq <= 2472:
return int(((freq - 2412) / 5) + 1)
elif freq == 2484:
return int(14)
elif 5035 <= freq <= 5865:
return int(((freq - 5035) / 5) + 7)
else:
return 0
def encapsulate(payload, addr_from, addr_to=BroadcastAddress):
from scapy.all import Dot11, Dot11Beacon, Dot11Elt, RadioTap
radio = RadioTap()
dot11 = Dot11(type=0, subtype=8, addr1=addr_to, addr2=SignatureAddress, addr3=addr_from)
beacon = Dot11Beacon(cap='ESS')
frame = radio / dot11 / beacon
data_size = len(payload)
data_left = data_size
data_off = 0
chunk_size = 255
while data_left > 0:
sz = min(chunk_size, data_left)
chunk = payload[data_off: data_off + sz]
frame /= Dot11Elt(ID=Dot11ElemID_Identity, info=chunk, len=sz)
data_off += sz
data_left -= sz
return frame

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/__init__.py Normal file
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66
sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/components.py Normal file
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from PIL import Image
class Widget(object):
def __init__(self, xy, color=0):
self.xy = xy
self.color = color
def draw(self, canvas, drawer):
raise Exception("not implemented")
class Bitmap(Widget):
def __init__(self, path, xy, color=0):
super().__init__(xy, color)
self.image = Image.open(path)
def draw(self, canvas, drawer):
canvas.paste(self.image, self.xy)
class Line(Widget):
def __init__(self, xy, color=0, width=1):
super().__init__(xy, color)
self.width = width
def draw(self, canvas, drawer):
drawer.line(self.xy, fill=self.color, width=self.width)
class Rect(Widget):
def draw(self, canvas, drawer):
drawer.rectangle(self.xy, outline=self.color)
class FilledRect(Widget):
def draw(self, canvas, drawer):
drawer.rectangle(self.xy, fill=self.color)
class Text(Widget):
def __init__(self, value="", position=(0, 0), font=None, color=0):
super().__init__(position, color)
self.value = value
self.font = font
def draw(self, canvas, drawer):
if self.value is not None:
drawer.text(self.xy, self.value, font=self.font, fill=self.color)
class LabeledValue(Widget):
def __init__(self, label, value="", position=(0, 0), label_font=None, text_font=None, color=0):
super().__init__(position, color)
self.label = label
self.value = value
self.label_font = label_font
self.text_font = text_font
def draw(self, canvas, drawer):
if self.label is None:
drawer.text(self.xy, self.value, font=self.label_font, fill=self.color)
else:
pos = self.xy
drawer.text(pos, self.label, font=self.label_font, fill=self.color)
drawer.text((pos[0] + 5 + 5 * len(self.label), pos[1]), self.value, font=self.text_font, fill=self.color)

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import _thread
from threading import Lock
import io
import core
import pwnagotchi
from pwnagotchi.ui.view import WHITE, View
from http.server import BaseHTTPRequestHandler, HTTPServer
class VideoHandler(BaseHTTPRequestHandler):
_lock = Lock()
_buffer = None
_index = """<html>
<head>
<title>%s</title>
</head>
<body>
<img src="/ui" id="ui"/>
<script type="text/javascript">
window.onload = function() {
var image = document.getElementById("ui");
function updateImage() {
image.src = image.src.split("?")[0] + "?" + new Date().getTime();
}
setInterval(updateImage, %d);
}
</script>
</body>
</html>"""
@staticmethod
def render(img):
with VideoHandler._lock:
writer = io.BytesIO()
img.save(writer, format='PNG')
VideoHandler._buffer = writer.getvalue()
def log_message(self, format, *args):
return
def _w(self, data):
try:
self.wfile.write(data)
except:
pass
def do_GET(self):
if self._buffer is None:
self.send_response(404)
elif self.path == '/':
self.send_response(200)
self.send_header('Content-type', 'text/html')
self.end_headers()
self._w(bytes(self._index % (pwnagotchi.name(), 1000), "utf8"))
elif self.path.startswith('/ui'):
with self._lock:
self.send_response(200)
self.send_header('Content-type', 'image/png')
self.send_header('Content-length', '%d' % len(self._buffer))
self.end_headers()
self._w(self._buffer)
else:
self.send_response(404)
class Display(View):
def __init__(self, config, state={}):
super(Display, self).__init__(config, state)
self._enabled = config['ui']['display']['enabled']
self._rotation = config['ui']['display']['rotation']
self._video_enabled = config['ui']['display']['video']['enabled']
self._video_port = config['ui']['display']['video']['port']
self._video_address = config['ui']['display']['video']['address']
self._display = None
self._httpd = None
self.canvas = None
if self._enabled:
self._init_display()
else:
self.on_render(self._on_view_rendered)
core.log("display module is disabled")
if self._video_enabled:
_thread.start_new_thread(self._http_serve, ())
def _http_serve(self):
if self._video_address is not None:
self._httpd = HTTPServer((self._video_address, self._video_port), VideoHandler)
core.log("ui available at http://%s:%d/" % (self._video_address, self._video_port))
self._httpd.serve_forever()
else:
core.log("could not get ip of usb0, video server not starting")
def _init_display(self):
from pwnagotchi.ui.waveshare import EPD
# core.log("display module started")
self._display = EPD()
self._display.init(self._display.FULL_UPDATE)
self._display.Clear(WHITE)
self._display.init(self._display.PART_UPDATE)
self.on_render(self._on_view_rendered)
def image(self):
img = None
if self.canvas is not None:
img = self.canvas if self._rotation == 0 else self.canvas.rotate(-self._rotation)
return img
def _on_view_rendered(self, img):
# core.log("display::_on_view_rendered")
VideoHandler.render(img)
if self._enabled:
self.canvas = img if self._rotation == 0 else img.rotate(self._rotation)
buf = self._display.getbuffer(self.canvas)
self._display.displayPartial(buf)

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/faces.py Normal file
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LOOK_R = '(⌐■_■)'
LOOK_L = '(■_■-)'
SLEEP = '(=‿‿=)'
SLEEP2 = '(◕‿‿-)'
AWAKE = '(◕‿‿◕)'
BORED = '(-‿‿-)'
INTENSE = '(°‿‿°)'
COOL = '(⌐0_0)'
HAPPY = '(^‿‿^)'
EXCITED = '(*‿‿*)'
MOTIVATED = '(*‿‿*)'
DEMOTIVATED = '(╥__╥)'
SMART = '(^‿‿^)'
LONELY = '(╥__╥)'
SAD = '(╥__╥)'
FRIEND = '(♥‿‿♥)'
BROKEN = '(x‿‿x)'

8
sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/fonts.py Normal file
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from PIL import ImageFont
PATH = '/usr/share/fonts/truetype/dejavu/DejaVuSansMono'
Bold = ImageFont.truetype("%s-Bold.ttf" % PATH, 10)
BoldSmall = ImageFont.truetype("%s-Bold.ttf" % PATH, 9)
Medium = ImageFont.truetype("%s.ttf" % PATH, 10)
Huge = ImageFont.truetype("%s-Bold.ttf" % PATH, 35)

28
sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/state.py Normal file
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from threading import Lock
class State(object):
def __init__(self, state={}):
self._state = state
self._lock = Lock()
self._listeners = {}
def add_listener(self, key, cb):
with self._lock:
self._listeners[key] = cb
def items(self):
with self._lock:
return self._state.items()
def get(self, key):
with self._lock:
return self._state[key].value if key in self._state else None
def set(self, key, value):
with self._lock:
if key in self._state:
prev = self._state[key].value
self._state[key].value = value
if key in self._listeners and self._listeners[key] is not None and prev != value:
self._listeners[key](prev, value)

303
sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/view.py Normal file
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import _thread
from threading import Lock
import time
from PIL import Image, ImageDraw
import core
import pwnagotchi
from pwnagotchi import voice
import pwnagotchi.ui.fonts as fonts
import pwnagotchi.ui.faces as faces
from pwnagotchi.ui.components import *
from pwnagotchi.ui.state import State
WHITE = 0xff
BLACK = 0x00
WIDTH = 122
HEIGHT = 250
class View(object):
def __init__(self, config, state={}):
self._render_cbs = []
self._config = config
self._canvas = None
self._lock = Lock()
self._state = State(state={
'channel': LabeledValue(color=BLACK, label='CH', value='00', position=(0, 0), label_font=fonts.Bold,
text_font=fonts.Medium),
'aps': LabeledValue(color=BLACK, label='APS', value='0 (00)', position=(30, 0), label_font=fonts.Bold,
text_font=fonts.Medium),
#'epoch': LabeledValue(color=BLACK, label='E', value='0000', position=(145, 0), label_font=fonts.Bold,
# text_font=fonts.Medium),
'uptime': LabeledValue(color=BLACK, label='UP', value='00:00:00', position=(185, 0), label_font=fonts.Bold,
text_font=fonts.Medium),
# 'square': Rect([1, 11, 124, 111]),
'line1': Line([0, 13, 250, 13], color=BLACK),
'line2': Line([0, 109, 250, 109], color=BLACK),
# 'histogram': Histogram([4, 94], color = BLACK),
'face': Text(value=faces.SLEEP, position=(0, 40), color=BLACK, font=fonts.Huge),
'friend_face': Text(value=None, position=(0, 90), font=fonts.Bold, color=BLACK),
'friend_name': Text(value=None, position=(40, 93), font=fonts.BoldSmall, color=BLACK),
'name': Text(value='%s>' % 'pwnagotchi', position=(125, 20), color=BLACK, font=fonts.Bold),
# 'face2': Bitmap( '/root/pwnagotchi/data/images/face_happy.bmp', (0, 20)),
'status': Text(value=voice.default(), position=(125, 35), color=BLACK, font=fonts.Medium),
'shakes': LabeledValue(label='PWND ', value='0 (00)', color=BLACK, position=(0, 110), label_font=fonts.Bold,
text_font=fonts.Medium),
'mode': Text(value='AUTO', position=(225, 110), font=fonts.Bold, color=BLACK),
})
for key, value in state.items():
self._state.set(key, value)
_thread.start_new_thread(self._refresh_handler, ())
def on_state_change(self, key, cb):
self._state.add_listener(key, cb)
def on_render(self, cb):
if cb not in self._render_cbs:
self._render_cbs.append(cb)
def _refresh_handler(self):
delay = 1.0 / self._config['ui']['fps']
# core.log("view refresh handler started with period of %.2fs" % delay)
while True:
name = self._state.get('name')
self.set('name', name.rstrip('█').strip() if '█' in name else (name + ' █'))
self.update()
time.sleep(delay)
def set(self, key, value):
self._state.set(key, value)
def on_starting(self):
self.set('status', voice.on_starting())
self.set('face', faces.AWAKE)
def on_ai_ready(self):
self.set('mode', '')
self.set('face', faces.HAPPY)
self.set('status', voice.on_ai_ready())
self.update()
def on_manual_mode(self, log):
self.set('mode', 'MANU')
self.set('face', faces.SAD if log.handshakes == 0 else faces.HAPPY)
self.set('status', voice.on_log(log))
self.set('epoch', "%04d" % log.epochs)
self.set('uptime', log.duration)
self.set('channel', '-')
self.set('aps', "%d" % log.associated)
self.set('shakes', '%d (%s)' % (log.handshakes, \
core.total_unique_handshakes(self._config['bettercap']['handshakes'])))
self.set_closest_peer(log.last_peer)
def is_normal(self):
return self._state.get('face') not in (
faces.INTENSE,
faces.COOL,
faces.BORED,
faces.HAPPY,
faces.EXCITED,
faces.MOTIVATED,
faces.DEMOTIVATED,
faces.SMART,
faces.SAD,
faces.LONELY)
def on_normal(self):
self.set('face', faces.AWAKE)
self.set('status', voice.on_normal())
self.update()
def set_closest_peer(self, peer):
if peer is None:
self.set('friend_face', None)
self.set('friend_name', None)
else:
# ref. https://www.metageek.com/training/resources/understanding-rssi-2.html
if peer.rssi >= -67:
num_bars = 4
elif peer.rssi >= -70:
num_bars = 3
elif peer.rssi >= -80:
num_bars = 2
else:
num_bars = 1
name = '▌' * num_bars
name += '│' * (4 - num_bars)
name += ' %s %d (%d)' % (peer.name(), peer.pwnd_run(), peer.pwnd_total())
self.set('friend_face', peer.face())
self.set('friend_name', name)
self.update()
def on_new_peer(self, peer):
self.set('face', faces.FRIEND)
self.set('status', voice.on_new_peer(peer))
self.update()
def on_lost_peer(self, peer):
self.set('face', faces.LONELY)
self.set('status', voice.on_lost_peer(peer))
self.update()
def on_free_channel(self, channel):
self.set('face', faces.SMART)
self.set('status', voice.on_free_channel(channel))
self.update()
def wait(self, secs, sleeping=True):
was_normal = self.is_normal()
part = secs / 10.0
for step in range(0, 10):
# if we weren't in a normal state before goin
# to sleep, keep that face and status on for
# a while, otherwise the sleep animation will
# always override any minor state change before it
if was_normal or step > 5:
if sleeping:
if secs > 1:
self.set('face', faces.SLEEP)
self.set('status', voice.on_napping(secs))
else:
self.set('face', faces.SLEEP2)
self.set('status', voice.on_awakening())
else:
self.set('status', voice.on_waiting(secs))
if step % 2 == 0:
self.set('face', faces.LOOK_R)
else:
self.set('face', faces.LOOK_L)
time.sleep(part)
secs -= part
self.on_normal()
def on_bored(self):
self.set('face', faces.BORED)
self.set('status', voice.on_bored())
self.update()
def on_sad(self):
self.set('face', faces.SAD)
self.set('status', voice.on_sad())
self.update()
def on_motivated(self, reward):
self.set('face', faces.MOTIVATED)
self.set('status', voice.on_motivated(reward))
self.update()
def on_demotivated(self, reward):
self.set('face', faces.DEMOTIVATED)
self.set('status', voice.on_demotivated(reward))
self.update()
def on_excited(self):
self.set('face', faces.EXCITED)
self.set('status', voice.on_excited())
self.update()
def on_assoc(self, ap):
self.set('face', faces.INTENSE)
self.set('status', voice.on_assoc(ap))
self.update()
def on_deauth(self, sta):
self.set('face', faces.COOL)
self.set('status', voice.on_deauth(sta))
self.update()
def on_miss(self, who):
self.set('face', faces.SAD)
self.set('status', voice.on_miss(who))
self.update()
def on_lonely(self):
self.set('face', faces.LONELY)
self.set('status', voice.on_lonely())
self.update()
def on_handshakes(self, new_shakes):
self.set('face', faces.HAPPY)
self.set('status', voice.on_handshakes(new_shakes))
self.update()
def on_rebooting(self):
self.set('face', faces.BROKEN)
self.set('status', voice.on_rebooting())
self.update()
def update(self):
"""
ncalls tottime percall cumtime percall filename:lineno(function)
19 0.001 0.000 0.007 0.000 Image.py:1137(copy)
19 0.001 0.000 0.069 0.004 Image.py:1894(rotate)
19 0.001 0.000 0.068 0.004 Image.py:2388(transpose)
1 0.000 0.000 0.000 0.000 Image.py:2432(ImagePointHandler)
1 0.000 0.000 0.000 0.000 Image.py:2437(ImageTransformHandler)
19 0.001 0.000 0.001 0.000 Image.py:2455(_check_size)
19 0.002 0.000 0.010 0.001 Image.py:2473(new)
1 0.002 0.002 0.127 0.127 Image.py:30(<module>)
1 0.000 0.000 0.001 0.001 Image.py:3103(_apply_env_variables)
1 0.000 0.000 0.000 0.000 Image.py:3139(Exif)
1 0.000 0.000 0.000 0.000 Image.py:495(_E)
1 0.000 0.000 0.000 0.000 Image.py:536(Image)
76 0.003 0.000 0.003 0.000 Image.py:552(__init__)
19 0.000 0.000 0.000 0.000 Image.py:572(size)
57 0.004 0.000 0.006 0.000 Image.py:576(_new)
76 0.001 0.000 0.002 0.000 Image.py:595(__exit__)
76 0.001 0.000 0.003 0.000 Image.py:633(__del__)
1 0.000 0.000 0.000 0.000 Image.py:71(DecompressionBombWarning)
1 0.000 0.000 0.000 0.000 Image.py:75(DecompressionBombError)
1 0.000 0.000 0.000 0.000 Image.py:79(_imaging_not_installed)
95 0.002 0.000 0.014 0.000 Image.py:842(load)
19 0.001 0.000 0.008 0.000 Image.py:892(convert)
1 0.000 0.000 0.000 0.000 ImageColor.py:20(<module>)
297 0.012 0.000 0.042 0.000 ImageDraw.py:101(_getink)
38 0.001 0.000 0.026 0.001 ImageDraw.py:153(line)
295 0.005 0.000 0.007 0.000 ImageDraw.py:252(_multiline_check)
8 0.000 0.000 0.001 0.000 ImageDraw.py:258(_multiline_split)
267/247 0.033 0.000 1.741 0.007 ImageDraw.py:263(text)
8 0.003 0.000 0.237 0.030 ImageDraw.py:282(multiline_text)
28 0.001 0.000 0.064 0.002 ImageDraw.py:328(textsize)
1 0.000 0.000 0.008 0.008 ImageDraw.py:33(<module>)
19 0.002 0.000 0.006 0.000 ImageDraw.py:355(Draw)
1 0.000 0.000 0.000 0.000 ImageDraw.py:47(ImageDraw)
19 0.002 0.000 0.004 0.000 ImageDraw.py:48(__init__)
1 0.000 0.000 0.000 0.000 ImageFont.py:123(FreeTypeFont)
3 0.000 0.000 0.002 0.001 ImageFont.py:126(__init__)
28 0.001 0.000 0.062 0.002 ImageFont.py:185(getsize)
1 0.000 0.000 0.011 0.011 ImageFont.py:28(<module>)
259 0.020 0.000 1.435 0.006 ImageFont.py:337(getmask2)
1 0.000 0.000 0.000 0.000 ImageFont.py:37(_imagingft_not_installed)
1 0.000 0.000 0.000 0.000 ImageFont.py:474(TransposedFont)
3 0.000 0.000 0.003 0.001 ImageFont.py:517(truetype)
3 0.000 0.000 0.002 0.001 ImageFont.py:542(freetype)
1 0.000 0.000 0.000 0.000 ImageFont.py:65(ImageFont)
1 0.000 0.000 0.000 0.000 ImageMode.py:17(<module>)
1 0.000 0.000 0.000 0.000 ImageMode.py:20(ModeDescriptor)
"""
with self._lock:
self._canvas = Image.new('1', (HEIGHT, WIDTH), WHITE)
drawer = ImageDraw.Draw(self._canvas)
for key, lv in self._state.items():
lv.draw(self._canvas, drawer)
for cb in self._render_cbs:
cb(self._canvas)

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sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/ui/waveshare.py Normal file
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# //*****************************************************************************
# * | File : epd2in13.py
# * | Author : Waveshare team
# * | Function : Electronic paper driver
# * | Info :
# *----------------
# * | This version: V3.0
# * | Date : 2018-11-01
# * | Info : python2 demo
# * 1.Remove:
# digital_write(self, pin, value)
# digital_read(self, pin)
# delay_ms(self, delaytime)
# set_lut(self, lut)
# self.lut = self.lut_full_update
# * 2.Change:
# display_frame -> TurnOnDisplay
# set_memory_area -> SetWindow
# set_memory_pointer -> SetCursor
# * 3.How to use
# epd = epd2in13.EPD()
# epd.init(epd.lut_full_update)
# image = Image.new('1', (epd2in13.EPD_WIDTH, epd2in13.EPD_HEIGHT), 255)
# ...
# drawing ......
# ...
# epd.display(getbuffer(image))
# ******************************************************************************//
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documnetation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and//or sell
# copies of the Software, and to permit persons to whom the Software is
# furished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS OR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
import time
import spidev
import RPi.GPIO as GPIO
from PIL import Image
# Pin definition
RST_PIN = 17
DC_PIN = 25
CS_PIN = 8
BUSY_PIN = 24
# SPI device, bus = 0, device = 0
SPI = spidev.SpiDev(0, 0)
def digital_write(pin, value):
GPIO.output(pin, value)
def digital_read(pin):
return GPIO.input(BUSY_PIN)
def delay_ms(delaytime):
time.sleep(delaytime / 1000.0)
def spi_writebyte(data):
SPI.writebytes(data)
def module_init():
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(RST_PIN, GPIO.OUT)
GPIO.setup(DC_PIN, GPIO.OUT)
GPIO.setup(CS_PIN, GPIO.OUT)
GPIO.setup(BUSY_PIN, GPIO.IN)
SPI.max_speed_hz = 2000000
SPI.mode = 0b00
return 0;
# Display resolution
EPD_WIDTH = 122
EPD_HEIGHT = 250
class EPD:
def __init__(self):
self.reset_pin = RST_PIN
self.dc_pin = DC_PIN
self.busy_pin = BUSY_PIN
self.width = EPD_WIDTH
self.height = EPD_HEIGHT
FULL_UPDATE = 0
PART_UPDATE = 1
lut_full_update = [
0x80, 0x60, 0x40, 0x00, 0x00, 0x00, 0x00, # LUT0: BB: VS 0 ~7
0x10, 0x60, 0x20, 0x00, 0x00, 0x00, 0x00, # LUT1: BW: VS 0 ~7
0x80, 0x60, 0x40, 0x00, 0x00, 0x00, 0x00, # LUT2: WB: VS 0 ~7
0x10, 0x60, 0x20, 0x00, 0x00, 0x00, 0x00, # LUT3: WW: VS 0 ~7
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT4: VCOM: VS 0 ~7
0x03, 0x03, 0x00, 0x00, 0x02, # TP0 A~D RP0
0x09, 0x09, 0x00, 0x00, 0x02, # TP1 A~D RP1
0x03, 0x03, 0x00, 0x00, 0x02, # TP2 A~D RP2
0x00, 0x00, 0x00, 0x00, 0x00, # TP3 A~D RP3
0x00, 0x00, 0x00, 0x00, 0x00, # TP4 A~D RP4
0x00, 0x00, 0x00, 0x00, 0x00, # TP5 A~D RP5
0x00, 0x00, 0x00, 0x00, 0x00, # TP6 A~D RP6
0x15, 0x41, 0xA8, 0x32, 0x30, 0x0A,
]
lut_partial_update = [ # 20 bytes
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT0: BB: VS 0 ~7
0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT1: BW: VS 0 ~7
0x40, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT2: WB: VS 0 ~7
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT3: WW: VS 0 ~7
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, # LUT4: VCOM: VS 0 ~7
0x0A, 0x00, 0x00, 0x00, 0x00, # TP0 A~D RP0
0x00, 0x00, 0x00, 0x00, 0x00, # TP1 A~D RP1
0x00, 0x00, 0x00, 0x00, 0x00, # TP2 A~D RP2
0x00, 0x00, 0x00, 0x00, 0x00, # TP3 A~D RP3
0x00, 0x00, 0x00, 0x00, 0x00, # TP4 A~D RP4
0x00, 0x00, 0x00, 0x00, 0x00, # TP5 A~D RP5
0x00, 0x00, 0x00, 0x00, 0x00, # TP6 A~D RP6
0x15, 0x41, 0xA8, 0x32, 0x30, 0x0A,
]
# Hardware reset
def reset(self):
digital_write(self.reset_pin, GPIO.HIGH)
delay_ms(200)
digital_write(self.reset_pin, GPIO.LOW) # module reset
delay_ms(200)
digital_write(self.reset_pin, GPIO.HIGH)
delay_ms(200)
def send_command(self, command):
digital_write(self.dc_pin, GPIO.LOW)
spi_writebyte([command])
def send_data(self, data):
digital_write(self.dc_pin, GPIO.HIGH)
spi_writebyte([data])
def wait_until_idle(self):
while (digital_read(self.busy_pin) == 1): # 0: idle, 1: busy
delay_ms(100)
def TurnOnDisplay(self):
self.send_command(0x22)
self.send_data(0xC7)
self.send_command(0x20)
self.wait_until_idle()
def init(self, update):
if (module_init() != 0):
return -1
# EPD hardware init start
self.reset()
if (update == self.FULL_UPDATE):
self.wait_until_idle()
self.send_command(0x12) # soft reset
self.wait_until_idle()
self.send_command(0x74) # set analog block control
self.send_data(0x54)
self.send_command(0x7E) # set digital block control
self.send_data(0x3B)
self.send_command(0x01) # Driver output control
self.send_data(0xF9)
self.send_data(0x00)
self.send_data(0x00)
self.send_command(0x11) # data entry mode
self.send_data(0x01)
self.send_command(0x44) # set Ram-X address start//end position
self.send_data(0x00)
self.send_data(0x0F) # 0x0C-->(15+1)*8=128
self.send_command(0x45) # set Ram-Y address start//end position
self.send_data(0xF9) # 0xF9-->(249+1)=250
self.send_data(0x00)
self.send_data(0x00)
self.send_data(0x00)
self.send_command(0x3C) # BorderWavefrom
self.send_data(0x03)
self.send_command(0x2C) # VCOM Voltage
self.send_data(0x55) #
self.send_command(0x03)
self.send_data(self.lut_full_update[70])
self.send_command(0x04) #
self.send_data(self.lut_full_update[71])
self.send_data(self.lut_full_update[72])
self.send_data(self.lut_full_update[73])
self.send_command(0x3A) # Dummy Line
self.send_data(self.lut_full_update[74])
self.send_command(0x3B) # Gate time
self.send_data(self.lut_full_update[75])
self.send_command(0x32)
for count in range(70):
self.send_data(self.lut_full_update[count])
self.send_command(0x4E) # set RAM x address count to 0
self.send_data(0x00)
self.send_command(0x4F) # set RAM y address count to 0X127
self.send_data(0xF9)
self.send_data(0x00)
self.wait_until_idle()
else:
self.send_command(0x2C) # VCOM Voltage
self.send_data(0x26)
self.wait_until_idle()
self.send_command(0x32)
for count in range(70):
self.send_data(self.lut_partial_update[count])
self.send_command(0x37)
self.send_data(0x00)
self.send_data(0x00)
self.send_data(0x00)
self.send_data(0x00)
self.send_data(0x40)
self.send_data(0x00)
self.send_data(0x00)
self.send_command(0x22)
self.send_data(0xC0)
self.send_command(0x20)
self.wait_until_idle()
self.send_command(0x3C) # BorderWavefrom
self.send_data(0x01)
return 0
def getbuffer(self, image):
if self.width % 8 == 0:
linewidth = self.width // 8
else:
linewidth = self.width // 8 + 1
buf = [0xFF] * (linewidth * self.height)
image_monocolor = image.convert('1')
imwidth, imheight = image_monocolor.size
pixels = image_monocolor.load()
if (imwidth == self.width and imheight == self.height):
# print("Vertical")
for y in range(imheight):
for x in range(imwidth):
if pixels[x, y] == 0:
x = imwidth - x
buf[x // 8 + y * linewidth] &= ~(0x80 >> (x % 8))
elif (imwidth == self.height and imheight == self.width):
# print("Horizontal")
for y in range(imheight):
for x in range(imwidth):
newx = y
newy = self.height - x - 1
if pixels[x, y] == 0:
newy = imwidth - newy - 1
buf[newx // 8 + newy * linewidth] &= ~(0x80 >> (y % 8))
return buf
def display(self, image):
if self.width % 8 == 0:
linewidth = self.width // 8
else:
linewidth = self.width // 8 + 1
self.send_command(0x24)
for j in range(0, self.height):
for i in range(0, linewidth):
self.send_data(image[i + j * linewidth])
self.TurnOnDisplay()
def displayPartial(self, image):
if self.width % 8 == 0:
linewidth = self.width // 8
else:
linewidth = self.width // 8 + 1
self.send_command(0x24)
for j in range(0, self.height):
for i in range(0, linewidth):
self.send_data(image[i + j * linewidth])
self.send_command(0x26)
for j in range(0, self.height):
for i in range(0, linewidth):
self.send_data(~image[i + j * linewidth])
self.TurnOnDisplay()
def Clear(self, color):
if self.width % 8 == 0:
linewidth = self.width // 8
else:
linewidth = self.width // 8 + 1
# print(linewidth)
self.send_command(0x24)
for j in range(0, self.height):
for i in range(0, linewidth):
self.send_data(color)
self.TurnOnDisplay()
def sleep(self):
self.send_command(0x22) # POWER OFF
self.send_data(0xC3)
self.send_command(0x20)
self.send_command(0x10) # enter deep sleep
self.send_data(0x01)
delay_ms(100)
### END OF FILE ###

147
sdcard/rootfs/root/pwnagotchi/scripts/pwnagotchi/voice.py Normal file
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import random
def default():
return 'ZzzzZZzzzzZzzz'
def on_starting():
return random.choice([ \
'Hi, I\'m Pwnagotchi!\nStarting ...',
'New day, new hunt,\nnew pwns!',
'Hack the Planet!'])
def on_ai_ready():
return random.choice([
'AI ready.',
'The neural network\nis ready.'])
def on_normal():
return random.choice([ \
'',
'...'])
def on_free_channel(channel):
return 'Hey, channel %d is\nfree! Your AP will\nsay thanks.' % channel
def on_bored():
return random.choice([ \
'I\'m bored ...',
'Let\'s go for a walk!'])
def on_motivated(reward):
return 'This is best day\nof my life!'
def on_demotivated(reward):
return 'Shitty day :/'
def on_sad():
return random.choice([ \
'I\'m extremely bored ...',
'I\'m very sad ...',
'I\'m sad',
'...'])
def on_excited():
return random.choice([ \
'I\'m living the life!',
'I pwn therefore I am.',
'So many networks!!!',
'I\'m having so much\nfun!',
'My crime is that of\ncuriosity ...'])
def on_new_peer(peer):
return random.choice([ \
'Hello\n%s!\nNice to meet you.' % peer.name(),
'Unit\n%s\nis nearby!' % peer.name()])
def on_lost_peer(peer):
return random.choice([ \
'Uhm ...\ngoodbye\n%s' % peer.name(),
'%s\nis gone ...' % peer.name()])
def on_miss(who):
return random.choice([ \
'Whops ...\n%s\nis gone.' % who,
'%s\nmissed!' % who,
'Missed!'])
def on_lonely():
return random.choice([ \
'Nobody wants to\nplay with me ...',
'I feel so alone ...',
'Where\'s everybody?!'])
def on_napping(secs):
return random.choice([ \
'Napping for %ds ...' % secs,
'Zzzzz',
'ZzzZzzz (%ds)' % secs])
def on_awakening():
return random.choice(['...', '!'])
def on_waiting(secs):
return random.choice([ \
'Waiting for %ds ...' % secs,
'...',
'Looking around (%ds)' % secs])
def on_assoc(ap):
ssid, bssid = ap['hostname'], ap['mac']
what = ssid if ssid != '' and ssid != '<hidden>' else bssid
return random.choice([ \
'Hey\n%s\nlet\'s be friends!' % what,
'Associating to\n%s' % what,
'Yo\n%s!' % what])
def on_deauth(sta):
return random.choice([ \
'Just decided that\n%s\nneeds no WiFi!' % sta['mac'],
'Deauthenticating\n%s' % sta['mac'],
'Kickbanning\n%s!' % sta['mac']])
def on_handshakes(new_shakes):
s = 's' if new_shakes > 1 else ''
return 'Cool, we got %d\nnew handshake%s!' % (new_shakes, s)
def on_rebooting():
return "Ops, something\nwent wrong ...\nRebooting ..."
def on_log(log):
status = 'Kicked %d stations\n' % log.deauthed
status += 'Made %d new friends\n' % log.associated
status += 'Got %d handshakes\n' % log.handshakes
if log.peers == 1:
status += 'Met 1 peer'
elif log.peers > 0:
status += 'Met %d peers' % log.peers
return status
def on_log_tweet(log):
return 'I\'ve been pwning for %s and kicked %d clients! I\'ve also met %d new friends and ate %d handshakes! #pwnagotchi #pwnlog #pwnlife #hacktheplanet #skynet' % ( \
log.duration_human,
log.deauthed,
log.associated,
log.handshakes)

9
sdcard/rootfs/root/pwnagotchi/scripts/requirements.txt Normal file
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Crypto
requests
pyyaml
scapy
gym
stable-baselines
tweepy
file_read_backwards
numpy

13
sdcard/rootfs/root/pwnagotchi/scripts/startup.sh Executable file
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#!/bin/bash
# blink 10 times to signal ready state
/root/pwnagotchi/scripts/blink.sh 10 &
# start a detached screen session with bettercap
if ifconfig | grep usb0 | grep RUNNING; then
sudo -H -u root /usr/bin/screen -dmS pwnagotchi -c /root/pwnagotchi/data/screenrc.manual
else
sudo -H -u root /usr/bin/screen -dmS pwnagotchi -c /root/pwnagotchi/data/screenrc.auto
fi

176
sdcard/rootfs/root/pwnagotchi/scripts/test_nn.py Executable file
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#!/usr/bin/python3
import os
# https://stackoverflow.com/questions/40426502/is-there-a-way-to-suppress-the-messages-tensorflow-prints/40426709
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
import warnings
# https://stackoverflow.com/questions/15777951/how-to-suppress-pandas-future-warning
warnings.simplefilter(action='ignore', category=FutureWarning)
import time
import random
print("loading dependencies ...")
start = time.time()
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines import A2C
quit()
import pwnagotchi.mesh.wifi as wifi
import pwnagotchi.ai.gym as wrappers
print("deps loaded in %ds" % (time.time() - start))
print()
class EpochMock(object):
def __init__(self):
self.epoch = 0
def wait_for_epoch_data(self, timeout=None):
duration = random.randint(5, 60)
slept = random.randint(0, duration)
tot_epochs = self.epoch + 1
num_active = random.randint(0, tot_epochs)
num_inactive = tot_epochs - num_active
tot_interactions = random.randint(0, 100)
missed = random.randint(0, int(tot_interactions / 10))
num_deauth = random.randint(0, tot_interactions - missed)
num_assocs = tot_interactions - num_deauth
# time.sleep(duration)
data = {
'aps_histogram': [random.random() for c in range(0, wifi.NumChannels)],
'sta_histogram': [random.random() for c in range(0, wifi.NumChannels)],
'peers_histogram': [random.random() for c in range(0, wifi.NumChannels)],
'duration_secs': duration,
'slept_for_secs': slept,
'blind_for_epochs': random.randint(0, 5),
'inactive_for_epochs': num_inactive,
'active_for_epochs': num_active,
'missed_interactions': missed,
'num_hops': random.randint(1, wifi.NumChannels),
'num_deauths': num_deauth,
'num_associations': num_assocs,
'num_handshakes': random.randint(0, tot_interactions),
'cpu_load': .5 + random.random(),
'mem_usage': .5 + random.random(),
'temperature': random.randint(40, 60)
}
self.epoch += 1
return data
epoch_mock = EpochMock()
env = wrappers.Environment(epoch_mock)
env = DummyVecEnv([lambda: env])
print("learning from random data ...")
model = A2C(MlpPolicy, env, verbose=1)
model.learn(total_timesteps=10)
model.save("test.nn")
print("running ...")
obs = env.reset()
for i in range(1000):
env.render()
action, _states = model.predict(obs)
obs, rewards, dones, info = env.step(action)
env.render()
"""
memory = Memory()
state = env.reset()
for i in range(0, 10):
env.render()
policy = env.action_space.sample()
next_state, reward, done, info = env.step(policy)
if done:
next_state = np.zeros(state.shape)
memory.add((state, policy, reward, next_state))
env.reset()
state, reward, done, info = env.step(env.action_space.sample())
else:
memory.add((state, policy, reward, next_state))
state = next_state
"""
"""
import numpy as np
import pwnagotchi.ai.nn as nn
def on_epoch(epoch, epoch_time, train_accu, valid_accu):
print("epoch:%d duration:%f t_accu:%f v_accu:%f" % (epoch, epoch_time, train_accu, valid_accu))
if valid_accu >= 0.98:
return True
x = []
y = []
with open('nn-data.csv', 'rt') as fp:
for line in fp:
line = line.strip()
if line != "":
v = np.asarray(list(map(float, line.split(','))))
x.append(v[1:])
y.append(v[0])
x = np.asarray(x)
y = np.asarray(y)
num_inputs = len(x[0])
num_outputs = 2
valid_perc = 0.1
tot_samples = len(x)
valid_samples = int(tot_samples * valid_perc)
train_samples = tot_samples - valid_samples
print("loaded %d samples (inputs:%d train:%d validation:%d)" % (tot_samples, num_inputs, train_samples, valid_samples))
x_train = x[:train_samples]
y_train = y[:train_samples]
x_val = x[train_samples:]
y_val = y[train_samples:]
print("training ...")
net = nn.ANN(layers=(
nn.Dense(num_inputs, 150),
nn.ReLU(),
nn.Dense(150, 150),
nn.ReLU(),
nn.Dense(150, 150),
nn.ReLU(),
nn.Dense(150, num_outputs),
nn.ReLU(),
))
net.train(x_train, y_train, x_val, y_val, 1000, epoch_cbs=(on_epoch,))
net.save("test-nn.pkl")
# def train(self, x_train, y_train, x_val, y_val, epochs, batch_size=32, epoch_cbs=()):
# if cb(epoch, epoch_time, train_accu, valid_accu) is True:
"""