Hcpy - Interface with Home Connect appliances in Python

Related tags

Deep Learninghcpy
Overview

dishwasher installed in a kitchen

Interface with Home Connect appliances in Python

This is a very, very beta interface for Bosch-Siemens Home Connect devices through their local network connection. It has some tools to find the TLS PSK (Pre-shared Key) that is used to allow local access, and a Python script that can construct the proper Websocket interface to subscribe to events.

WARNING: This is not ready for prime time!

The dishwasher has a local HTTPS port open (and the dryer seems to have unencrypted HTTP). Attempting to connect to the HTTPS port with curl results in a cryptic protocol error due to the non-standard cipher selection, ECDHE-PSK-CHACHA20-POLY1305. PSK also requires that both sides agree on a symetric key, so it is necessary to figure out what that key is before any further progress can be made.

Finding the PSK

application setup screen

You will need to set the dishwasher to "Local network only" in the setup application so that your phone will connect directly to it, rather than going through the cloud services.

You'll also need a rooted Android phone running frida-server and the find-psk.frida script. This will hook the callback from the OpenSSL library hcp::client_psk_callback that is called when OpenSSL has made a connection and now needs to establish the PSK.

frida --no-pause -f com.bshg.homeconnect.android.release -U -l find-psk.frida

It should start the Home Connect application and eventually print a message like:

psk callback hint 'HCCOM_Local_App'
psk 32 0x6ee63fb2f0
           0  1  2  3  4  5  6  7  8  9  A  B  C  D  E  F  0123456789ABCDEF
00000000  0e c8 1f d8 c6 49 fa d8 bc e7 fd 34 33 54 13 d4  .....I.....43T..
00000010  73 f9 2e 01 fc d8 26 80 49 89 4c 19 d7 2e cd cb  s.....&.I.L.....

Which gives you the 32-byte PSK value to copy into the hcpy program.

SSL logging

The Frida script will also dump all of the SSL traffic so that you can see different endpoints and things. Not much is documented yet.

Note that the TX from the phone on the websocket is "masked" with an repeating 4-byte XOR that is sent in the first part of each messages. The script could be augmented to decode those as well. The replies from the device are not masked so they can be read in the clear.

hcpy

The hcpy tool can contact your device, and if the PSK is correct, it will register for notification of events.

RX: {'sID': 2354590730, 'msgID': 3734589701, 'resource': '/ei/initialValues', 'version': 2, 'action': 'POST', 'data': [{'edMsgID': 3182729968}]}
TX: {"sID":2354590730,"msgID":3734589701,"resource":"/ei/initialValues","version":2,"action":"RESPONSE","data":[{"deviceType":"Application","deviceName":"py-hca","deviceID":"1234"}]}
TX: {"sID":2354590730,"msgID":3182729968,"resource":"/ci/services","version":1,"action":"GET"}
TX: {"sID":2354590730,"msgID":3182729969,"resource":"/iz/info","version":1,"action":"GET"}
TX: {"sID":2354590730,"msgID":3182729970,"resource":"/ei/deviceReady","version":2,"action":"NOTIFY"}
RX: {'sID': 2354590730, 'msgID': 3182729968, 'resource': '/ci/services', 'version': 1, 'action': 'RESPONSE', 'data': [{'service': 'ci', 'version': 3}, {'service': 'ei', 'version': 2}, {'service': 'iz', 'version': 1}, {'service': 'ni', 'version': 1}, {'service': 'ro', 'version': 1}]}
RX: {'sID': 2354590730, 'msgID': 3182729969, 'resource': '/iz/info', 'version': 1, 'action': 'RESPONSE', 'data': [{'deviceID': '....', 'eNumber': 'SX65EX56CN/11', 'brand': 'SIEMENS', 'vib': 'SX65EX56CN', 'mac': '....', 'haVersion': '1.4', 'swVersion': '3.2.10.20200911163726', 'hwVersion': '2.0.0.2', 'deviceType': 'Dishwasher', 'deviceInfo': '', 'customerIndex': '11', 'serialNumber': '....', 'fdString': '0201', 'shipSki': '....'}]}

Feature UID mapping

There are other things that can be hooked in the application to get the mappings of the uid to actual menu settings and XML files of the configuration parameters.

In the xml/ directory are some of the device descriptions and feature maps that the app downloads from the Home Connect servers. Note that the XML has unadorned hex, while the websocket messages are in decimal.

For instance, when the dishwasher door is closed and then re-opened, it sends the messages for 'uid':512, which is 0x020F hex:

RX: {... 'data': [{'uid': 527, 'value': 1}]}
RX: {... 'data': [{'uid': 527, 'value': 0}]}

In the xml/dishwasher-description.xml there is a statusList that says uid 0x020f is a readonly value that uses enum 0x0201:

">
    
  

In the xml/dishwasher-featuremap.xml there is a mapping of feature reference UIDs to names:

BSH.Common.Status.DoorState">
    
   
    BSH.Common.Status.DoorState
   

as well as mappings of enum ids to enum names and values:

Open Closed ">
    
   
      
    
     Open
    
      
    
     Closed
    
    
   
Owner
Trammell Hudson
I like to take things apart.
Trammell Hudson
Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques"

THESIS_CAIRONE_FIORENTINO Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques" GENERATE TOKE

cairone_fiorentino97 1 Dec 10, 2021
[NeurIPS2021] Code Release of Learning Transferable Perturbations

Learning Transferable Adversarial Perturbations This is an official release of the paper Learning Transferable Adversarial Perturbations. The code is

Krishna Kanth 17 Nov 11, 2022
This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

Nils L. Westhausen 182 Jan 07, 2023
Efficient Online Bayesian Inference for Neural Bandits

Efficient Online Bayesian Inference for Neural Bandits By Gerardo DurΓ‘n-MartΓ­n, Aleyna Kara, and Kevin Murphy AISTATS 2022.

Probabilistic machine learning 49 Dec 27, 2022
PaRT: Parallel Learning for Robust and Transparent AI

PaRT: Parallel Learning for Robust and Transparent AI This repository contains the code for PaRT, an algorithm for training a base network on multiple

Mahsa 0 May 02, 2022
The code written during my Bachelor Thesis "Classification of Human Whole-Body Motion using Hidden Markov Models".

This code was written during the course of my Bachelor thesis Classification of Human Whole-Body Motion using Hidden Markov Models. Some things might

Matthias Plappert 14 Dec 06, 2022
Another pytorch implementation of FCN (Fully Convolutional Networks)

FCN-pytorch-easiest Trying to be the easiest FCN pytorch implementation and just in a get and use fashion Here I use a handbag semantic segmentation f

Y. Dong 158 Dec 21, 2022
[ICCV'2021] "SSH: A Self-Supervised Framework for Image Harmonization", Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang

SSH: A Self-Supervised Framework for Image Harmonization (ICCV 2021) code for SSH Representative Examples Main Pipeline RealHM DataSet Google Drive Pr

VITA 86 Dec 02, 2022
Autonomous racing with the Anki Overdrive

Anki Autonomous Racing Autonomous racing with the Anki Overdrive. Using the Overdrive-Python API (https://github.com/xerodotc/overdrive-python) develo

3 Dec 11, 2022
PURE: End-to-End Relation Extraction

PURE: End-to-End Relation Extraction This repository contains (PyTorch) code and pre-trained models for PURE (the Princeton University Relation Extrac

Princeton Natural Language Processing 657 Jan 09, 2023
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN (Enhanced SRGAN) [ πŸš€ BasicSR] [Real-ESRGAN] ✨ New Updates. We have extended ESRGAN to Real-ESRGAN, which is a more practical algorithm for rea

Xintao 4.7k Jan 02, 2023
Pre-trained Deep Learning models and demos (high quality and extremely fast)

OpenVINOβ„’ Toolkit - Open Model Zoo repository This repository includes optimized deep learning models and a set of demos to expedite development of hi

OpenVINO Toolkit 3.4k Dec 31, 2022
Object Database for Super Mario Galaxy 1/2.

Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object

Aurum 9 Dec 04, 2022
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

TTNet-Pytorch The implementation for the paper "TTNet: Real-time temporal and spatial video analysis of table tennis" An introduction of the project c

Nguyen Mau Dung 438 Dec 29, 2022
An open source python library for automated feature engineering

"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to

alteryx 6.4k Jan 03, 2023
CellRank's reproducibility repository.

CellRank's reproducibility repository We believe that reproducibility is key and have made it as simple as possible to reproduce our results. Please e

Theis Lab 8 Oct 08, 2022
Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures.

NLP_0-project Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures1. We are a "democratic" and c

3 Mar 16, 2022
A Quick and Dirty Progressive Neural Network written in TensorFlow.

prog_nn .β–„β–„ Β· β–„Β· β–„β–Œ ▐ β–„ β–„β–„β–„Β· ▐ β–„ β–β–ˆ β–€. β–β–ˆβ–ͺβ–ˆβ–ˆβ–Œβ€’β–ˆβ–Œβ–β–ˆβ–β–ˆ β–„β–ˆβ–ͺ β€’β–ˆβ–Œβ–β–ˆ β–„β–€β–€β–€β–ˆβ–„β–β–ˆβ–Œβ–β–ˆβ–ͺβ–β–ˆβ–β–β–Œ β–ˆβ–ˆβ–€

SynPon 53 Dec 12, 2022
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning.

DeepVecFont This is the homepage for "DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning". Yizhi Wang and Zhouhui Lian. WI

Yizhi Wang 17 Dec 22, 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting This is the origin Pytorch implementation of Informer in the followin

Haoyi 3.1k Dec 29, 2022