详细讲解FuzzBench如何添加新的Fuzzer-Toy模板网

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最近几天一直在弄FuzzBench添加新的fuzzer，在添加过程中遇到各种问题，在此做详细记录。

拉取fuzzbench到本地

这一部分可以直接参考此链接FuzzBench预备条件

1.拉取代码到本地

git clone https://github.com/google/fuzzbench
cd fuzzbench
git submodule update --init

2.安装fuzzbench

sudo apt-get install build-essential

3.安装fuzzbench需要使用的依赖

sudo apt-get install python3.8-dev python3.8-venv
make install-dependencies
#接下里是进入虚拟环境，这一步可以不执行，执行后也可以执行deactivate退出虚拟环境
source .venv/bin/activate

4.安装本地依赖

如果想要在本地执行fuzzbench需要执行一下语句进行rsync的安装
sudo apt-get install rsync

添加新的Fuzzer

1.创建目录

首先到fuzzbench的fuzzer目录下创建需要添加的fuzzer对应的文件名，该文件夹用于存放接下来需要创建的三个文件

export FUZZER_NAME= < your_fuzzer_name>
cd fuzzers
mkdir $FUZZER_NAME

例如本文新增的fuzzer名为agilefuzz，注意这里fuzzer_name名称只能是小写字母，否则会报错。
详细讲解FuzzBench如何添加新的Fuzzer

2.编写fuzzer文件

接下来编写的文件都保存在（1）中创建的目录下

cd $FUZZER_NAME

builder.Dockerfile编写

此处使用vim对该文件进行编写，直接参考它给出的例子afl。

vim builder.Dockerfile

写入代码如下：

# Copyright 2020 Google LLC
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

ARG parent_image
FROM $parent_image

# Download and compile AFL v2.57b.
# Set AFL_NO_X86 to skip flaky tests.
#注意这里的git clone的地址要改成你需要添加的fuzzer的拉取地址
#拉取到afl目录下是为了方便在afl编写的其他代码中进行兼容，看了一下其他模糊器的builder.Dockerfile也是拉取到afl目录下
RUN git clone https://github.com/12qwetyd/agile.git /afl  && \
    cd /afl && \
    AFL_NO_X86=1 make

# Use afl_driver.cpp from LLVM as our fuzzing library.
#wget部分用于拉取编译fuzzer的函数，此处可以直接使用AFL的驱动程序
RUN apt-get update && \
    apt-get install wget -y && \
    wget https://raw.githubusercontent.com/llvm/llvm-project/5feb80e748924606531ba28c97fe65145c65372e/compiler-rt/lib/fuzzer/afl/afl_driver.cpp -O /afl/afl_driver.cpp && \
    clang -Wno-pointer-sign -c /afl/llvm_mode/afl-llvm-rt.o.c -I/afl && \
    clang++ -stdlib=libc++ -std=c++11 -O2 -c /afl/afl_driver.cpp && \
    ar r /libAFL.a *.o

run.Dockerfile

这里对于大部分模糊测试只需要一句from语句用于拉取镜像即可，但如果fuzzer需要一些依赖也可以直接使用apt-get语句下载，在本次实验中并不需要其他依赖，因此代码如下：
首先创建run.Dockerfile

vim run.Dockerfile

在编译器中输入如下代码：

FROM gcr.io/fuzzbench/base-image

详细讲解FuzzBench如何添加新的Fuzzer

fuzzer.py

vim fuzzer.py

直接复制AFL的fuzzer.py文件即可，由于在上面runner.Dockerfile中直接将fuzzer拉取并命名为afl，因此对该文件不需要做修改，但如果添加的fuzzer中存在一些新的执行参数或者删除了一些参数，则需要对fuzzer.py中的参数进行修改。

fuzzer.py代码

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Integration code for AFL fuzzer."""

import json
import os
import shutil
import subprocess

from fuzzers import utils


def prepare_build_environment():
    """Set environment variables used to build targets for AFL-based
    fuzzers."""
    cflags = ['-fsanitize-coverage=trace-pc-guard']
    utils.append_flags('CFLAGS', cflags)
    utils.append_flags('CXXFLAGS', cflags)

    os.environ['CC'] = 'clang'
    os.environ['CXX'] = 'clang++'
    os.environ['FUZZER_LIB'] = '/libAFL.a'


def build():
    """Build benchmark."""
    prepare_build_environment()

    utils.build_benchmark()

    print('[post_build] Copying afl-fuzz to $OUT directory')
    # Copy out the afl-fuzz binary as a build artifact.
    shutil.copy('/afl/afl-fuzz', os.environ['OUT'])


def get_stats(output_corpus, fuzzer_log):  # pylint: disable=unused-argument
    """Gets fuzzer stats for AFL."""
    # Get a dictionary containing the stats AFL reports.
    stats_file = os.path.join(output_corpus, 'fuzzer_stats')
    with open(stats_file) as file_handle:
        stats_file_lines = file_handle.read().splitlines()
    stats_file_dict = {}
    for stats_line in stats_file_lines:
        key, value = stats_line.split(': ')
        stats_file_dict[key.strip()] = value.strip()

    # Report to FuzzBench the stats it accepts.
    stats = {'execs_per_sec': float(stats_file_dict['execs_per_sec'])}
    return json.dumps(stats)


def prepare_fuzz_environment(input_corpus):
    """Prepare to fuzz with AFL or another AFL-based fuzzer."""
    # Tell AFL to not use its terminal UI so we get usable logs.
    os.environ['AFL_NO_UI'] = '1'
    # Skip AFL's CPU frequency check (fails on Docker).
    os.environ['AFL_SKIP_CPUFREQ'] = '1'
    # No need to bind affinity to one core, Docker enforces 1 core usage.
    os.environ['AFL_NO_AFFINITY'] = '1'
    # AFL will abort on startup if the core pattern sends notifications to
    # external programs. We don't care about this.
    os.environ['AFL_I_DONT_CARE_ABOUT_MISSING_CRASHES'] = '1'
    # Don't exit when crashes are found. This can happen when corpus from
    # OSS-Fuzz is used.
    os.environ['AFL_SKIP_CRASHES'] = '1'
    # Shuffle the queue
    os.environ['AFL_SHUFFLE_QUEUE'] = '1'

    # AFL needs at least one non-empty seed to start.
    utils.create_seed_file_for_empty_corpus(input_corpus)


def check_skip_det_compatible(additional_flags):
    """ Checks if additional flags are compatible with '-d' option"""
    # AFL refuses to take in '-d' with '-M' or '-S' options for parallel mode.
    # (cf. https://github.com/google/AFL/blob/8da80951/afl-fuzz.c#L7477)
    if '-M' in additional_flags or '-S' in additional_flags:
        return False
    return True

#这部分是编译afl的代码，如果添加的fuzzer修改了一些参数在此处进行修改
def run_afl_fuzz(input_corpus,
                 output_corpus,
                 target_binary,
                 additional_flags=None,
                 hide_output=False):
    """Run afl-fuzz."""
    # Spawn the afl fuzzing process.
    print('[run_afl_fuzz] Running target with afl-fuzz')
    command = [
        './afl-fuzz',
        '-i',
        input_corpus,
        '-o',
        output_corpus,
        # Use no memory limit as ASAN doesn't play nicely with one.
        '-m',
        'none',
        '-t',
        '1000+',  # Use same default 1 sec timeout, but add '+' to skip hangs.
    ]
    # Use '-d' to skip deterministic mode, as long as it it compatible with
    # additional flags.
    if not additional_flags or check_skip_det_compatible(additional_flags):
        command.append('-d')
    if additional_flags:
        command.extend(additional_flags)
    dictionary_path = utils.get_dictionary_path(target_binary)
    if dictionary_path:
        command.extend(['-x', dictionary_path])
    command += [
        '--',
        target_binary,
        # Pass INT_MAX to afl the maximize the number of persistent loops it
        # performs.
        '2147483647'
    ]
    print('[run_afl_fuzz] Running command: ' + ' '.join(command))
    output_stream = subprocess.DEVNULL if hide_output else None
    subprocess.check_call(command, stdout=output_stream, stderr=output_stream)


def fuzz(input_corpus, output_corpus, target_binary):
    """Run afl-fuzz on target."""
    prepare_fuzz_environment(input_corpus)

    run_afl_fuzz(input_corpus, output_corpus, target_binary)

执行文件

在fuzzbench目录下执行如下语句，其中FUZZER_NAME在前文中已经给出了定义，为新添加的fuzzer目录名称：

export BENCHMARK_NAME=libpng-1.2.56
make build-$FUZZER_NAME-$BENCHMARK_NAME
#debug a build
make debug-builder-$FUZZER_NAME-$BENCHMARK_NAME

执行完以上语句会生成多个镜像

下面这两句执行任意一句即可，后一句执行一个更快的测试
make run-$FUZZER_NAME-$BENCHMARK_NAME
make test-run-$FUZZER_NAME-$BENCHMARK_NAME

上面的语句执行速度比较慢，我这边执行的第一句，等了一天多还没执行完。
如果需要为新建的fuzzer构建所有的benchmark，在fuzzbench目录下执行以下语句（但通常情况下并不需要所有的BENCHMARK）:

make build-$FUZZER_NAME-all

详细讲解FuzzBench如何添加新的Fuzzer
以上为添加fuzzer的全过程，结束。

遇见问题

如果添加的fuzzer删除或新增了一些指令，在复制完fuzzer.py后应该上上文中文提到的部分修改参数引用，例如本文添加的fuzzer删除了-d参数，由于没有及时修改fuzzer.py文件，在执行过程中报错如下：
详细讲解FuzzBench如何添加新的Fuzzer
这是因为在执行afl-fuzz时新增的fuzzer没有-d参数，直接在fuzzer.py文件中删除这一参数即可：