Skip to content
/ qsym Public
forked from sslab-gatech/qsym

QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

License

Notifications You must be signed in to change notification settings

sgzeng/qsym

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

37 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Environment

  • Tested on Ubuntu 14.04 64bit and 16.04 64bit

Installation

# disable ptrace_scope for PIN
$ echo 0|sudo tee /proc/sys/kernel/yama/ptrace_scope

# install z3 and system deps
$ ./setup.sh

# install using virtual env
$ virtualenv venv
$ source venv/bin/activate
$ pip install .

Installation using Docker

# disable ptrace_scope for PIN
$ echo 0|sudo tee /proc/sys/kernel/yama/ptrace_scope

# build docker image
$ docker build -t qsym ./

# run docker image
$ docker run --cap-add=SYS_PTRACE -it qsym /bin/bash

Run hybrid fuzzing with AFL

# require to set the following environment variables
#   AFL_ROOT: afl directory (http://lcamtuf.coredump.cx/afl/)
#   INPUT: input seed files
#   OUTPUT: output directory
#   AFL_CMDLINE: command line for a testing program for AFL (ASAN + instrumented)
#   QSYM_CMDLINE: command line for a testing program for QSYM (Non-instrumented)

# run AFL master
$ $(AFL_ROOT)/afl-fuzz -M afl-master -i $(INPUT) -o $(OUTPUT) -- $(AFL_CMDLINE)
# run AFL slave
$ $(AFL_ROOT)/afl-fuzz -S afl-slave -i $(INPUT) -o $(OUTPUT) -- $(AFL_CMDLINE)
# run QSYM
$ bin/run_qsym_afl.py -a afl-slave -o $(OUTPUT) -n qsym -- $(QSYM_CMDLINE)

Run for testing

$ cd tests
$ python build.py
$ python -m pytest -n $(nproc)

Authors

Publications

QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

@inproceedings{yun:qsym,
  title        = {{QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing}},
  author       = {Insu Yun and Sangho Lee and Meng Xu and Yeongjin Jang and Taesoo Kim},
  booktitle    = {Proceedings of the 27th USENIX Security Symposium (Security)},
  month        = aug,
  year         = 2018,
  address      = {Baltimore, MD},
}

About

QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 73.7%
  • C 15.8%
  • Python 7.6%
  • Makefile 2.7%
  • Shell 0.2%
  • Dockerfile 0.0%