An experiment to bait a generalized frontrunning MEV bot

Overview

Honeypot 🍯

A simple experiment that:

  • Creates a honeypot contract
  • Baits a generalized fronturnning bot with a unique transaction
  • Analyze bot behaviour using a black box approach

Final project for ChainShort bootcamp Oct 2021 cohort.

Presentation Deck

The project presentation deck is in presentation directory. It gives an overview about the project.

Experiment addresses and txs

Honeypot contract address: 0x1e232d5871979eaa715de2c38381574a9c886bad

Bot contract: 0x31B7e144b2CF261A015004BEE9c84a98263E2F66

Bot operator: 0x0a04e8b4d2014cd2d07a9eaf946945bed1262a99

Failed tx 1 (block 13710082, index 22): 0xcc1172506d5b5fa09cbf66d2296deb24958181f186817eb29cbe8385fd55ed51

Frontrun tx 1 (block 13710082, index 0): 0x18ec2c2e5720c6d332a0f308f8803e834e06c78dcebdc255178891ead56c6d73

Failed tx 2 (block 13710542, index 80): 0xfce9b77a8c7b8544cb699ce646558dc506e030aaba1533c917d7841bcc3f206a

Frontrun tx 2 (block 13710542, index 0): 0x8cda6e76f9a19ce69967d9f74d52402afbafba6ca3469248fe5c9937ef065d47

Running contract tests

The contract tests are written in Solidity. To run them:

  1. Install dapptools on your machine
  2. Navigate to the project root directory in terminal, then dapp install ds-test
  3. Rename .dapprc.template to .dapprc and add your Ethereum RPC endpoint
  4. Use dapp test to run the tests.

PnL dataset

To create or update the PnL dataset:

  1. Make sure you have Python 3 and the relevant modules installed on your machine
  2. Rename config.template.py to config.py and add your Etherscan API key and Alchemy RPC endpoint
  3. Run python analysis/create_pnl_datasets.py in your terminal

Analysis

You can view the analysis files on GitHub. If you want to edit and run them, you need to run Jupyter Notebook server with Anaconda or something similar.

Known limitations

These limitaitons are known by the time of the final presentation:

  • Unoptimized performance and too many JSON-RPC calls in when fetching data
  • PnL computation is based on heuristic, not EVM state changes
  • Outlier detection is based on manual sample check
  • A few hardcoded simplifications like constant token prices
  • No test for pnl.py and calldata.py
Owner
0x1355
Parsing json. Deciphering bytes. And putting it all together again.
0x1355
clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)

Moroccan Stocks Clustering Context Hey! we don't always have to forecast time series am I right ? We use k-means to cluster about 70 moroccan stock pr

Ayman Lafaz 7 Oct 18, 2022
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

Awesome AutoDL A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awe

D-X-Y 2k Dec 30, 2022
Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.

Spatio-Temporal Entropy Model A Pytorch Reproduction of Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression. More details can

16 Nov 28, 2022
AI grand challenge 2020 Repo (Speech Recognition Track)

KorBERT를 활용한 한국어 텍스트 기반 위협 상황인지(2020 인공지능 그랜드 챌린지) 본 프로젝트는 ETRI에서 제공된 한국어 korBERT 모델을 활용하여 폭력 기반 한국어 텍스트를 분류하는 다양한 분류 모델들을 제공합니다. 본 개발자들이 참여한 2020 인공지

Young-Seok Choi 23 Jan 25, 2022
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)

Applied Machine Learning (Cornell CS5785, Fall 2021) This repo contains executable course notes and slides for the Applied ML course at Cornell and Co

Volodymyr Kuleshov 103 Dec 31, 2022
[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Enjoy-Hamburger 🍔 Official implementation of Hamburger, Is Attention Better Than Matrix Decomposition? (ICLR 2021) Under construction. Introduction T

Gsunshine 271 Dec 29, 2022
TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform

TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform

2.6k Jan 04, 2023
This folder contains the implementation of the multi-relational attribute propagation algorithm.

MrAP This folder contains the implementation of the multi-relational attribute propagation algorithm. It requires the package pytorch-scatter. Please

6 Dec 06, 2022
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt

Choi Gunho 102 Dec 13, 2022
Interpolation-based reduced-order models

Interpolation-reduced-order-models Interpolation-based reduced-order models High-fidelity computational fluid dynamics (CFD) solutions are time consum

Donovan Blais 1 Jan 10, 2022
a project for 3D multi-object tracking

a project for 3D multi-object tracking

155 Jan 04, 2023
chainladder - Property and Casualty Loss Reserving in Python

chainladder (python) chainladder - Property and Casualty Loss Reserving in Python This package gets inspiration from the popular R ChainLadder package

Casualty Actuarial Society 130 Dec 07, 2022
This program creates a formatted excel file which highlights the undervalued stock according to Graham's number.

Over-and-Undervalued-Stocks Of Nepse Using Graham's Number Scrap the latest data using different websites and creates a formatted excel file that high

6 May 03, 2022
I tried to apply the CAM algorithm to YOLOv4 and it worked.

YOLOV4:You Only Look Once目标检测模型在pytorch当中的实现 2021年2月7日更新: 加入letterbox_image的选项,关闭letterbox_image后网络的map得到大幅度提升。 目录 性能情况 Performance 实现的内容 Achievement

55 Dec 05, 2022
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim

16 Dec 08, 2022
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-

tensordiffeq 74 Dec 09, 2022
Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format

ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu

5 May 23, 2022
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.

.NET Interactive Notebooks for C# Welcome to the home of .NET interactive notebooks for C#! How to Install Download the .NET Coding Pack for VS Code f

.NET Platform 425 Dec 25, 2022
Image segmentation with private İstanbul Dataset

Image Segmentation This repo was created for academic research and test result. Repo will update after academic article online. This repo contains wei

İrem KÖMÜRCÜ 9 Dec 11, 2022
Exploring whether attention is necessary for vision transformers

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet Paper/Report TL;DR We replace the attention layer in a v

Luke Melas-Kyriazi 461 Jan 07, 2023