PolyGlot, a fuzzing framework for language processors

Related tags

Deep LearningPolyglot
Overview

PolyGlot, a fuzzing framework for language processors

Build

We tested PolyGlot on Ubuntu 18.04.

  1. Get the source code: git clone https://github.com/s3team/Polyglot && cd Polyglot
  2. Install prerequisite: sudo apt install -y make python g++ bison flex clang-format clang
  3. Modify the Makefile to choose the language you want to test
  4. Build everything: make
  5. The fuzzer is in AFL_replate_mutate/afl-fuzz
  6. Use the afl-gcc/afl-g++/afl-clang/afl-clang++ in AFL_replace_mutate to compile the program you want to fuzz.

Config the semantic.json

Before we run the fuzzer, we need to set some values in semantic.json. Here are some important values that you should set:

  1. InitFileDir: This should be an absolute path of your init seed file dir. It can be the same as/different from your path of input.
  2. BuiltinObjFile: If you want to use the build-in functions/variables/class for semantic validation, set this path (not a single file). Refer to grammar/solidity_grammar/semantic.json for an example.

Run

To run the fuzzer, we just run it like normal afl-fuzz:

afl-fuzz -i path/to/inputs -o path/to/outputs -- prog [args @@]

You should collect your own seed inputs for the fuzzer.

Apply on a new language

To do

Video tutorial

asciicast

Publication

One Engine to Fuzz ‘em All: Generic Language Processor Testing with Semantic Validation

Yongheng Chen, Rui Zhong(co-first author), Hong Hu, Hangfan Zhang, Yupeng Yang, Dinghao Wu and Wenke Lee.
In Proceedings of the 41st IEEE Symposium on Security and Privacy (Oakland 2021).

Contact

Yongheng Chen: [email protected]

Rui Zhong: [email protected]

Hong Hu: [email protected]

Hangfan Zhang: [email protected]

Yupeng Yang: [email protected]

Dinghao Wu: [email protected]

Wenke Lee: [email protected]

Owner
Software Systems Security Team at Penn State University
Software Systems Security Team at Penn State University
This repo contains the code for paper Inverse Weighted Survival Games

Inverse-Weighted-Survival-Games This repo contains the code for paper Inverse Weighted Survival Games instructions general loss function (--lfn) can b

3 Jan 12, 2022
Code for Massive-scale Decoding for Text Generation using Lattices

Massive-scale Decoding for Text Generation using Lattices Jiacheng Xu, Greg Durrett TL;DR: a new search algorithm to construct lattices encoding many

Jiacheng Xu 37 Dec 18, 2022
[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Incremental Object Detection via Meta-Learning To appear in an upcoming issue of the IEEE Transactions on Pattern Analysis and Machine Intelligence (T

Joseph K J 66 Jan 04, 2023
Human head pose estimation using Keras over TensorFlow.

RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild.

Rafael Berral Soler 71 Jan 05, 2023
PyTorch implementation of "Optimization Planning for 3D ConvNets"

Optimization-Planning-for-3D-ConvNets Code for the ICML 2021 paper: Optimization Planning for 3D ConvNets. Authors: Zhaofan Qiu, Ting Yao, Chong-Wah N

Zhaofan Qiu 2 Jan 12, 2022
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models

AdvBox 1.3k Dec 25, 2022
PyTorch implementation for View-Guided Point Cloud Completion

PyTorch implementation for View-Guided Point Cloud Completion

22 Jan 04, 2023
Mmdetection3d Noted - MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch

Jiangjingwen 13 Jan 06, 2023
Python Single Object Tracking Evaluation

pysot-toolkit The purpose of this repo is to provide evaluation API of Current Single Object Tracking Dataset, including VOT2016 VOT2018 VOT2018-LT OT

348 Dec 22, 2022
Ἀνατομή is a PyTorch library to analyze representation of neural networks

Ἀνατομή is a PyTorch library to analyze representation of neural networks

Ryuichiro Hataya 50 Dec 05, 2022
MixRNet(Using mixup as regularization and tuning hyper-parameters for ResNets)

MixRNet(Using mixup as regularization and tuning hyper-parameters for ResNets) Using mixup data augmentation as reguliraztion and tuning the hyper par

Bhanu 2 Jan 16, 2022
Programming with Neural Surrogates of Programs

Programming with Neural Surrogates of Programs

0 Dec 12, 2021
An efficient toolkit for Face Stylization based on the paper "AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer Learning"

MMGEN-FaceStylor English | 简体中文 Introduction This repo is an efficient toolkit for Face Stylization based on the paper "AgileGAN: Stylizing Portraits

OpenMMLab 182 Dec 27, 2022
An implementation of an abstract algebra for music tones (pitches).

nbdev template Use this template to more easily create your nbdev project. If you are using an older version of this template, and want to upgrade to

Open Music Kit 0 Oct 10, 2022
Markov Attention Models

Introduction This repo contains code for reproducing the results in the paper Graphical Models with Attention for Context-Specific Independence and an

Vicarious 0 Dec 09, 2021
Implementation of Convolutional LSTM in PyTorch.

ConvLSTM_pytorch This file contains the implementation of Convolutional LSTM in PyTorch made by me and DavideA. We started from this implementation an

Andrea Palazzi 1.3k Dec 29, 2022
Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution" (CVPR 2021 Oral)

Adversarial Long-Tail This repository contains the PyTorch implementation of the paper: Adversarial Robustness under Long-Tailed Distribution, CVPR 20

Tong WU 89 Dec 15, 2022
Pytorch implementation of

EfficientTTS Unofficial Pytorch implementation of "EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture"(arXiv). Disclaimer: Somebo

Liu Songxiang 109 Nov 16, 2022
Pytorch implementation for DFN: Distributed Feedback Network for Single-Image Deraining.

DFN:Distributed Feedback Network for Single-Image Deraining Abstract Recently, deep convolutional neural networks have achieved great success for sing

6 Nov 05, 2022