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henaputi's Projects

android_trojan icon android_trojan

Android trojan with abilities of recording calls, live mic streaming , remote root commands execution and other

androidkeylogger icon androidkeylogger

This is a simple modification to the SoftKeyboard sample that is included with the Android SDK. It adds a keylogger that writes output to the root directory of the SD Card (for easy access). This is provided for demonstration / diagnostic purposes only.

catch-em-all icon catch-em-all

Now that we have tons of data about Pokemon (what they are, where they are, what’s their relationship, what they can transform into, which attacks they can perform, aso) we want to integrate it all into a comprehensive website. This website should contain sections about each Pokemon and its details. Additionally, the website should register the user’s location and tell the user how close is that the predicted pokemon to him/her. Additionally you will be incorporating the apps that were created by project B,C and D into the website. Your group will need to create automated builds and testing for this apps and use continuous integration to pull in new changes in the code repositories. Apps from projects B-D should be packaged and made available on NPM. Ideally when you completed these tasks the webapp component would integrate the apps by “requiring’ them. Here is a possible user story: when a user opens the website or the app the current location of the user will be shown. Additionally, the website/app will show automatically where the pokemons that are currently active are and where the pokemons that we predict to active in the nearest future (i.e. within half a day) will be located (all of this will be available from the app developed in project D). Hopefully, the website will be somewhat crowded by that data. Then, there needs to be a menu bar or something available (e.g. above the map or on the right side to it) that will list currently active or predicted pokemons. Clicking on one of them will make other pokemons on the map disappear, except of this clicked one. Separate web pages would allow the search and presentation of individual Pokemons and the information we gathered about them, including third party data (project A) and twitter analysis (project C)

gopatrol icon gopatrol

Telegram bot for notice nearby pokemon.

minimoba icon minimoba

Mini MOBA complete project for the Unity 3D game engine

msniper icon msniper

Snipe while NecroBot is working (without username, password, device information)

necrobot icon necrobot

a Pokemon Go Bot. -> https://discord.gg/VXKxNFr

net-keylogger icon net-keylogger

Network Keylogger is an open source program that sends every key pressed in a computer to another computer, via TCP/IP. It can be used to catch Windows login password, if modified and used with PsExec and SrvAny. Network Keylogger is free and open source. It is written in AutoIt.

ocpu icon ocpu

Pokemon Battle Simulation Server

pogobag icon pogobag

Analyze and share your Pokémon through a locally run server! SITE IS LIVE NOW!

pokedata icon pokedata

In this project you will scrape as much data as you can get about the *actual* sightings of Pokemons. As it turns out, players all around the world started reporting sightings of Pokemons and are logging them into a central repository (i.e. a database). We want to get this data so we can train our machine learning models. You will of course need to come up with other data sources not only for sightings but also for other relevant details that can be used later on as features for our machine learning algorithm (see Project B). Additional features could be air temperature during the given timestamp of sighting, location close to water, buildings or parks. Consult with Pokemon Go expert if you have such around you and come up with as many features as possible that describe a place, time and name of a sighted Pokemon. Another feature that you will implement is a twitter listener: You will use the twitter streaming API (https://dev.twitter.com/streaming/public) to listen on a specific topic (for example, the #foundPokemon hashtag). When a new tweet with that hashtag is written, an event will be fired in your application checking the details of the tweet, e.g. location, user, time stamp. Additionally, you will try to parse formatted text from the tweets to construct a new “seen” record that consequently will be added to the database. Some of the attributes of the record will be the Pokemon's name, location and the time stamp. Additional data sources (here is one: https://pkmngowiki.com/wiki/Pok%C3%A9mon) will also need to be integrated to give us more information about Pokemons e.g. what they are, what’s their relationship, what they can transform into, which attacks they can perform etc.

pokemap icon pokemap

A native Android client to map the Pokemon around you!

pokemon-go-bot-working-hack-api icon pokemon-go-bot-working-hack-api

TomTheBotter This is one of the fastest bot that farms for Pokestops and Pokemon and super easy to level up. Incubate and hatch eggs by walking or catch rare pokemon fast! No bans with correct use as of now. Use with caution as with all bots.

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