Giter VIP home page Giter VIP logo

ayushman4 / hydra Goto Github PK

View Code? Open in Web Editor NEW

This project forked from sslab-gatech/hydra

0.0 0.0 0.0 109.55 MB

Hydra: an Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems

License: MIT License

Shell 1.02% JavaScript 0.06% C++ 1.55% Python 13.36% C 42.04% Emacs Lisp 0.05% OCaml 0.12% Haskell 0.43% Smalltalk 0.01% Go 0.01% PowerShell 0.01% Coq 11.35% CSS 0.04% Nix 0.01% Makefile 0.64% HTML 0.82% LLVM 28.45% PLpgSQL 0.01% Batchfile 0.01% Jupyter Notebook 0.04%

hydra's Introduction

Hydra: An Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems

Paper

Overview

Hydra is a state-of-the-art fuzzing framework for file systems. It provides building blocks for file system fuzzing, including multi-dimensional input mutators, feedback engines, a libOS-based executor, and a bug reproducer with test case minimizer. Developers only need to focus on writing (or bringing in) a checker which defines the core logic for finding the types of bugs of their own interests. Along with the framework, this repository includes our in-house developed crash consistency checker (SymC3), with which 11 new crash consistency bugs were revealed from ext4, Btrfs, F2FS, and from two verified file systems: FSCQ and Yxv6.

This repository is provided under the terms of MIT license.

Contents

  • General code base

    • src/combined: Hydra input mutator
    • src/lkl/tools/lkl/{FS}-combined-consistency: Hydra LibOS-based Executor (will be downloaded and compiled during setup)
  • Checkers

    • src/emulator: Hydra's in-house crash consistency checker, SymC3

System requirements

Hydra requires Ubuntu 18.04. A compatibility issue is found in Ubuntu 20.04, and we are working on a fix.

Setup

1. All setup should be done under src

$ cd src

2. Install dependencies

./dep.sh

3. Compile for each file system

$ make build-btrfs-imgwrp
  • We can do the same for other file systems:
$ make build-ext4-imgwrp
$ make build-f2fs-imgwrp
$ make build-xfs-imgwrp
  • (Skip if you want to test the latest kernel) To reproduce bugs presented in the SOSP'19 paper, do the following to back-port LKL to kernel 4.16.
$ mv lkl lkl-master # (pwd: proj_root/src)
$ git clone https://github.com/sslab-gatech/lkl-hydra.git lkl
$ cd lkl
$ git checkout v4.16-backport
$ ./compile -t btrfs
$ cd .. (pwd: proj_root/src)

4. Set up environments

$ sudo ./prepare_fuzzing.sh
$ ./prepare_env.sh

5. Run fuzzing (single / multiple instance)

  • Single instance
$ ./run.py -t [fstype] -c [cpu_id] -l [tmpfs_id] -g [fuzz_group]

-t: choose from btrfs, f2fs, ext4, xfs
-c: cpu id to run this fuzzer instance
-l: tmpfs id to store logs (choose one from /tmp/mosbench/tmpfs-separate/)
-g: specify group id for parallel fuzzing, default: 0

e.g., ./run.py -t btrfs -c 4 -l 10 -g 1
Runs btrfs fuzzer, and pins the instance to Core #4.
Logs will be accumulated under /tmp/mosbench/tmpfs-separate/10/log/ .
  • You can also run multiple fuzzers in parallel by doing:
[Terminal 1] ./run.py -t btrfs -c 1 -l 10 -g 1
[Terminal 2] ./run.py -t btrfs -c 2 -l 10 -g 1
[Terminal 3] ./run.py -t btrfs -c 3 -l 10 -g 1
[Terminal 4] ./run.py -t btrfs -c 4 -l 10 -g 1
// all btrfs bug logs will be under /tmp/mosbench/tmpfs-separate/10/log/

[Terminal 5] ./run.py -t f2fs -c 5 -l 11 -g 2
[Terminal 6] ./run.py -t f2fs -c 6 -l 11 -g 2
[Terminal 7] ./run.py -t f2fs -c 7 -l 11 -g 2
[Terminal 8] ./run.py -t f2fs -c 8 -l 11 -g 2
// all f2fs bug logs will be under /tmp/mosbench/tmpfs-separate/11/log/

6. Important note

It is highly encouraged that you use separate input, output, log directories for each file system, unless you are running fuzzers in parallel. If you reuse the same directories from previous testings of other file systems, it won't work properly.

7. Experiments

Please refer to EXPERIMENTS.md for detailed experiment information.

Contacts

hydra's People

Contributors

squizz617 avatar tarafans avatar manycoreos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.