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@ -16,6 +16,7 @@ AFL++的目标是提供一个稳定的基础，使得未来的模糊测试研究
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# 二、编译安装
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项目推荐使用docker直接pull下来，但由于网络问题，本次示例采用在linux虚拟机上编译安装
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```shell
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git clone https://github.com/AFLplusplus/AFLplusplus # 克隆项目
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sudo apt-get install -y build-essential python3-dev automake cmake git flex bison libglib2.0-dev libpixman-1-dev python3-setuptools cargo libgtk-3-dev #安装依赖环境
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@ -28,13 +29,16 @@ cd AFLplusplus
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make distrib
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sudo make install
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```
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安装完成后可以在使用afl-fuzz命令测试是否安装成功
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![[1.png]]
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# 三、运行示例
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### （一） 目标程序的源码
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一个栈溢出案例，代码如下，当输入为abcd时会出现崩溃
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```c
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//test.c
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#include <stdio.h>
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@ -78,13 +82,17 @@ int main()
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### （二）模糊测试以及准备工作
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在模糊测试前先要进行**源码编译插桩**和**创建语料库**
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1. 源码编译插桩:**使用 afl++ 自带的插桩编译器**：afl-gcc
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![[2.png]]
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2. 准备语料库:作为程序输入的原始材料,必须有才可以运行,原始材料越好漏洞发现的越快
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```shell
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➜ afl echo "abc" >> ./input/seed1
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```
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3. 开启模糊测试:指定必要的目标文件夹就可以开启模糊测试了
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```shell
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➜ afl afl-fuzz -i input/ -o output/ ./test
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afl-fuzz++4.22a based on afl by Michal Zalewski and a large online community
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@ -118,11 +126,14 @@ afl-fuzz++4.22a based on afl by Michal Zalewski and a large online community
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len = 4, map size = 5, exec speed = 157 us, hash = ad4e684fcf34ff0e
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[+] All test cases processed.
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[+] Here are some useful stats:
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Test case count : 1 favored, 0 variable, 0 ignored, 1 total
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Bitmap range : 5 to 5 bits (average: 5.00 bits)
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Exec timing : 157 to 157 us (average: 157 us)
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[*] No -t option specified, so I'll use an exec timeout of 20 ms.
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[+] All set and ready to roll!
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american fuzzy lop ++4.22a {default} (./test) [explore]
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┌─ process timing ────────────────────────────────────┬─ overall results ────┐
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│ run time : 0 days, 0 hrs, 0 min, 1 sec │ cycles done : 15 │
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@ -147,11 +158,13 @@ afl-fuzz++4.22a based on afl by Michal Zalewski and a large online community
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│py/custom/rq : unused, unused, unused, unused ├───────────────────────┘
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│ trim/eff : n/a, 25.00% │ [cpu000: 12%]
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└─ strategy: explore ────────── state: started :-) ──┘^C
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+++ Testing aborted by user +++
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[*] Writing output//default/fastresume.bin ...
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[+] Written fastresume.bin with 295308 bytes!
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[+] We're done here. Have a nice day!
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```
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4. `afl-fuzz`: 这是 AFL++ 的核心工具，用于执行模糊测试。AFL++ 是一个强大的模糊测试工具，它通过自动化生成输入数据来测试目标程序，从而发现潜在的安全漏洞或程序崩溃。
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5. `-i input/`: 这个选项指定了 AFL++ 用来开始模糊测试的初始输入种子文件的目录。在这里，`input/` 是包含初始输入数据的目录。AFL++ 会基于这些初始输入生成变异后的测试数据。
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6. `-o output/`: 这个选项指定了 AFL++ 将输出模糊测试结果的目录。`output/` 目录将包含测试过程中生成的各种数据，比如发现的崩溃或挂起的输入、统计信息等。
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@ -160,6 +173,7 @@ afl-fuzz++4.22a based on afl by Michal Zalewski and a large online community
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### （三）验证漏洞
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崩溃的输入样本会被保存在output目录下的crashes目录，查看一下，与原先对源码分析的结果一样，也成功使程序崩溃，示例完成
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```shell
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➜ afl cat output/default/crashes/id:000000,sig:06,src:000000,time:101,execs:789,op:havoc,rep:2
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abcdcccccccccccccccccccccccc
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@ -168,4 +182,3 @@ abcdcccccccccccccccccccccccc
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*** buffer overflow detected ***: terminated
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[1] 1456167 IOT instruction ./test
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```
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