MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

MuFuzz is executed on Linux (ideally Ubuntu 18.04).

Dependencies:

• CMake: >=3.5.1
• Python: >=3.5（ideally 3.6）
• Go: 1.15
• leveldb
• Geth & Tools
• solc: 0.4.26
• numpy

$(MuFuzz)
├── sFuzz
│   ├── fuzzer
│   ├── libfuzzer
│   ├── liboracle
│   └── ...
├── bran
│   └── ...
├── tools
│   ├── requirements.txt
│   └── ...
├── assets
│   ├── ReentrancyAttacker_model.sol
│   ├── ReentrancyAttacker.sol
│   └── ...
├── source_code
│   └── ...
├── clean_source_code
│   └── ...
├── contracts
│   └── ...
├── branch_msg
│   └── ...
├── logs
│   └── ...
├── fuzz
├── initial_.sh
├── rename_src.sh
├── run.sh
└── README.md

• sFuzz: The basic fuzzing module of MuFuzz
• bran: The abstract interpreter for path analysis
• tools: The static analysis tools for extracting vulnerability-specific patterns
  • requirements.txt：Required python dependencies
• assets:
  • ReentrancyAttacker_model.sol: The template for constructing an attacker contract
  • ReentrancyAttacker.sol: The attacker contract generated based on the template
• source_code: Store the source code (.sol) of a contract
• clean_source_code: Store the clean source code (.sol) of a contract
• contracts/example1: Store the compiled results of a contract
• branch_msg: Store the intermediate representations of a contract
• logs: Store the execution report during fuzzing
• fuzz: The complied executable fuzzer file (if you want to re-compile a fuzz file, you can refer to the following complete execution)

Rename contract under test

./rename_src.sh

Execute the fuzzer

./run.sh

• Initialization and Install system dependencies (This step will consume a lot of time.)

./initial_.sh

• Make workspace for the contract in directory source_code and clean_source_code

./rename_src.sh

• Run MuFuzz

./run.sh

• Note: if you download the boost version >= 1.7.0, you may need to update the ".get_io_service()" (in sFuzz/libp2p/RLPxHandshake.h) to ".get_executor()".

• -p: prefuzz (path searching)
• -r: report
• -d: duration (fuzzing time)
• -m: mode (1: mask, 0: default)
• -o: order (1: new sequence, 0: default)

We make all three datasets used in our paper publicly available. Download