Fuzzing JavaScript Engines with Aspect-preserving Mutation

Related tags

Deep LearningDIE
Overview

DIE

Repository for "Fuzzing JavaScript Engines with Aspect-preserving Mutation" (in S&P'20). You can check the paper for technical details.

Environment

Tested on Ubuntu 18.04 with following environment.

  • Python v3.6.10
  • npm v6.14.6
  • n v6.7.0

General Setup

For nodejs and npm,

$ sudo apt-get -y install npm
$ sudo npm install -g n
$ sudo n stable

For redis-server,

$ sudo apt install redis-server

we choose clang-6.0 to compile afl and browsers smoothly.

$ sudo apt-get -y install clang-6.0

DIE Setup

To setup environment for AFL,

$ cd fuzz/scripts
$ sudo ./prepare.sh

To compile whole project,

$ ./compile.sh

Server Setup

  • Make Corpus Directory (We used Die-corpus as corpus)
$ git clone https://github.com/sslab-gatech/DIE-corpus.git
$ python3 ./fuzz/scripts/make_initial_corpus.py ./DIE-corpus ./corpus
  • Make ssh-tunnel for connection with redis-server
$ ./fuzz/scripts/redis.py
  • Dry run with corpus
$ ./fuzz/scripts/populate.sh [target binary path] [path of DIE-corpus dir] [target js engine (ch/jsc/v8/ffx)]
# Example
$ ./fuzz/scripts/populate.sh ~/ch ./DIE-corpus ch

It's done! Your corpus is well executed and the data should be located on redis-server.

Tips

To check the redis-data,

$ redis-cli -p 9000
127.0.0.1:9000> keys *

If the result contains "crashBitmap", "crashQueue", "pathBitmap", "newPathsQueue" keys, the fuzzer was well registered and executed.

Client Setup

  • Make ssh-tunnel for connection with redis-server
$ ./fuzz/scripts/redis.py
  • Usage
$ ./fuzz/scripts/run.sh [target binary path] [path of DIE-corpus dir] [target js engine (ch/jsc/v8/ffx)]
# Example
$ ./fuzz/scripts/run.sh ~/ch ./DIE-corpus ch
  • Check if it's running
$ tmux ls

You can find a session named fuzzer if it's running.

Typer

We used d8 to profile type information. So, please change d8_path in fuzz/TS/typer/typer.py before execution.

cd fuzz/TS/typer
python3 typer.py [corpus directory]

*.jsi file will be created if instrumentation works well. *.t file will be created if profiling works well.

CVEs

If you find bugs and get CVEs by running DIE, please let us know.

  • ChakraCore: CVE-2019-0609, CVE-2019-1023, CVE-2019-1300, CVE-2019-0990, CVE-2019-1092
  • JavaScriptCore: CVE-2019-8676, CVE-2019-8673, CVE-2019-8811, CVE-2019-8816
  • V8: CVE-2019-13730, CVE-2019-13764, CVE-2020-6382

Contacts

Citation

@inproceedings{park:die,
  title        = {{Fuzzing JavaScript Engines with Aspect-preserving Mutation}},
  author       = {Soyeon Park and Wen Xu and Insu Yun and Daehee Jang and Taesoo Kim},
  booktitle    = {Proceedings of the 41st IEEE Symposium on Security and Privacy (Oakland)},
  month        = may,
  year         = 2020,
  address      = {San Francisco, CA},
}
Owner
gts3.org ([email protected])
https://gts3.org
gts3.org (<a href=[email protected])">
Read number plates with https://platerecognizer.com/

HASS-plate-recognizer Read vehicle license plates with https://platerecognizer.com/ which offers free processing of 2500 images per month. You will ne

Robin 69 Dec 30, 2022
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Human Pose Regression with Residual Log-likelihood Estimation [Paper] [arXiv] [Project Page] Human Pose Regression with Residual Log-likelihood Estima

JeffLi 347 Dec 24, 2022
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

DFANet This repo is an unofficial pytorch implementation of DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation log 2019.4.16 After 48

shen hui xiang 248 Oct 21, 2022
Code for "The Box Size Confidence Bias Harms Your Object Detector"

The Box Size Confidence Bias Harms Your Object Detector - Code Disclaimer: This repository is for research purposes only. It is designed to maintain r

Johannes G. 24 Dec 07, 2022
Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL"

Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL" This is the official codebase for Pessimism Meets I

3 Sep 19, 2022
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

SEDE SEDE (Stack Exchange Data Explorer) is new dataset for Text-to-SQL tasks with more than 12,000 SQL queries and their natural language description

Rupert. 83 Nov 11, 2022
Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

Ponder(ing) Transformer Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of

Phil Wang 65 Oct 04, 2022
Data and code from COVID-19 machine learning paper

Machine learning approaches for localized lockdown, subnotification analysis and cases forecasting in São Paulo state counties during COVID-19 pandemi

Sara Malvar 4 Dec 22, 2022
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video Timely handgun detection is a cr

Mario Duran-Vega 18 Dec 26, 2022
Mememoji - A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

a project built with deep convolutional neural network and ❤️ Table of Contents Motivation The Database The Model 3.1 Input Layer 3.2 Convolutional La

Jostine Ho 761 Dec 05, 2022
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation Zhaoyun Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li

DamoCV 25 Dec 16, 2022
HAR-stacked-residual-bidir-LSTMs - Deep stacked residual bidirectional LSTMs for HAR

HAR-stacked-residual-bidir-LSTM The project is based on this repository which is presented as a tutorial. It consists of Human Activity Recognition (H

Guillaume Chevalier 287 Dec 27, 2022
Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

FaderNetworks PyTorch implementation of Fader Networks (NIPS 2017). Fader Networks can generate different realistic versions of images by modifying at

Facebook Research 753 Dec 23, 2022
Pomodoro timer that acknowledges the inexorable, infinite passage of time

Pomodouroboros Most pomodoro trackers assume you're going to start them. But time and tide wait for no one - the great pomodoro of the cosmos is cold

Glyph 66 Dec 13, 2022
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.

Trivial Augment This is the official implementation of TrivialAugment (https://arxiv.org/abs/2103.10158), as was used for the paper. TrivialAugment is

AutoML-Freiburg-Hannover 94 Dec 30, 2022
Library to enable Bayesian active learning in your research or labeling work.

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

ElementAI 687 Dec 25, 2022
Bringing Computer Vision and Flutter together , to build an awesome app !!

Bringing Computer Vision and Flutter together , to build an awesome app !! Explore the Directories Flutter · Machine Learning Table of Contents About

Padmanabha Banerjee 14 Apr 07, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
A repo with study material, exercises, examples, etc for Devnet SPAUTO

MPLS in the SDN Era -- DevNet SPAUTO Get right to the study material: Checkout the Wiki! A lab topology based on MPLS in the SDN era book used for 30

Hugo Tinoco 67 Nov 16, 2022
SuperSDR: multiplatform KiwiSDR + CAT transceiver integrator

SuperSDR SuperSDR integrates a realtime spectrum waterfall and audio receive from any KiwiSDR around the world, together with a local (or remote) cont

Marco Cogoni 30 Nov 29, 2022