atyachin

Android Emulator (ARM64) on EC2 - 2022
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1. Launch EC2 ARM based Instance (a1.metal / a1.2xlarge): (16 Gb RAM, 32Gb Disk), Ubuntu Server 22.04 LTS (HVM) ARM x64
2. sudo apt update && sudo apt upgrade
3. sudo apt install default-jdk python3-pip repo python-is-python3 unzip libpcre2-dev adb
4. wget https://dl.google.com/android/repository/commandlinetools-linux-8512546_latest.zip 
5. unzip commandlinetools-linux-8512546_latest.zip -d android-sdk
6. sudo mv android-sdk /opt/
7. mkdir /opt/android-sdk/cmdline-tools/latest
8. mv /opt/android-sdk/cmdline-tools/* /opt/android-sdk/cmdline-tools/latest  (ignore the error)

ppoffice

Tools

1. emulator (30.3.5) (via Android SDK)
2. adb (30.0.5) (via Android SDK)
3. apktool (2.5.0) and Java runtime
4. zip (3.0)
5. unzip (6.0)

Make sure you have JAVA_HOME and ANDROID_HOME environment variables correctly set.

nhtua

#!/bin/bash -i
#using shebang with -i to enable interactive mode (auto load .bashrc)

set -e #stop immediately if any error happens

# Install Open SDK
apt update
apt install openjdk-8-jdk -y
update-java-alternatives --set java-1.8.0-openjdk-amd64
java -version

pich4ya

// $ frida -l antiroot.js -U -f com.example.app --no-pause
// CHANGELOG by Pichaya Morimoto (p.morimoto@sth.sh): 
//  - I added extra whitelisted items to deal with the latest versions 
// 						of RootBeer/Cordova iRoot as of August 6, 2019
//  - The original one just fucked up (kill itself) if Magisk is installed lol
// Credit & Originally written by: https://codeshare.frida.re/@dzonerzy/fridantiroot/
// If this isn't working in the future, check console logs, rootbeer src, or libtool-checker.so
Java.perform(function() {

    var RootPackages = ["com.noshufou.android.su", "com.noshufou.android.su.elite", "eu.chainfire.supersu",

yazinsai

Getting the Android Emulator running on EC2 📱

# @ your EC2 instance
sudo apt update
sudo apt install openjdk-8-jre unzip
wget https://dl.google.com/android/repository/sdk-tools-linux-4333796.zip
unzip sdk-tools-linux-4333796.zip -d android-sdk
sudo mv android-sdk /opt/
export ANDROID_SDK_ROOT=/opt/android-sdk

jhonatasfender

# first
curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
chmod a+x ~/bin/repo

# second
repo init -u https://android.googlesource.com/platform/manifest

arjunv

{
    "key_events": {
        "key_unknown": "adb shell input keyevent 0",
        "key_soft_left": "adb shell input keyevent 1",
        "key_soft_right": "adb shell input keyevent 2",
        "key_home": "adb shell input keyevent 3",
        "key_back": "adb shell input keyevent 4",
        "key_call": "adb shell input keyevent 5",
        "key_endcall": "adb shell input keyevent 6",
        "key_0": "adb shell input keyevent 7",

Pulimet

Hi All!

I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

Here's the link to the repository:  https://github.com/Pulimet/ADBugger

App Description:
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.

vgiri2015

package rnd

import kafka.serializer.StringDecoder
import org.apache.spark.sql.SQLContext
import org.apache.spark.streaming.dstream.DStream
import org.apache.spark.streaming.kafka.KafkaUtils
import org.apache.spark.streaming.{Minutes, Seconds, StreamingContext}
import org.apache.spark.{SparkConf, SparkContext}

object KafkaSparkStreamingToES {

darionyaphet

package org.darion.yaphet.parquet;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.parquet.example.data.Group;
import org.apache.parquet.hadoop.ParquetReader;
import org.apache.parquet.hadoop.example.GroupReadSupport;

import java.io.IOException;