Download AFLNet and compile it. We have tested AFLNet on Ubuntu 18.04 and Ubuntu 16.04 64-bit and it would also work on all environments that support the vanilla AFL and graphviz.

Sequence Mutator 使用具有协议感知能力的变异算子增强了 AFL 的 fuzz_one方法。 AFLNET 是一种基于突变的模糊测试方法，即从语料库中选择种子消息序列并进行突变以生成新序列。

2021年6月11日 · 研究测试人员针对测试代码编写测试框架(write harness)，经过afl-clang-fast/afl-gcc插桩编译后产生支持反馈模糊测试的二进制程序；afl-fuzz从队列(queue)中挑选种子进行变异，将变异后的测试用例喂给测试框架程序(harness)运行并监控运行结果；如果崩溃，则存储在崩溃 ...

paper, we present AFLNET, the first greybox fuzzer for protocol implementations. Unlike existing protocol fuzzers, AFLNET takes a mutational approach and uses state-feedback to guide the fuzzing process. AFLNET is seeded with a corpus of recorded message exchanges between the server and an actual client.

2022年12月9日 · AFLNet是一款基于AFL 的灰盒协议模糊测试工具，采用了代码覆盖率反馈、种子分割变异以及状态反馈等技术。AFLNet使用client发向server的数据包作为种子，无需掌握协议前置知识就能使用。

2023年7月30日 · SharpFuzz：.NET的基于AFL的模糊测试 SharpFuzz是一款将引入.NET平台的工具。 如果您想了解有关模糊的更多信息，我编写SharpFuzz的动机，可以发现的错误的类型或与afl - fuzz集成的工作方式的技术细节，请阅读我的博客文章。

同样，为了直接在终端使用afl，我们需要将afl的路径写入环境变量中。 根据AFLNET作者提供的操作指南，依次执行以下命令。 配置环境变量 $ export AFLNET = $PWD $ export WORKDIR = $PWD $ export PATH = $PATH : $AFLNET t$ export AFL_PATH = $AFLNET 作永久修改 $ source ~/.bashrc

2024年6月24日 · AFLNet 的设计目标是增强 AFL (American Fuzzy Lop) 的功能，以更有效地测试网络协议。 AFLNet 的主要特点： 基于状态的模糊测试 ：AFLNet 使用了一种基于状态的模糊测试方法，这意味着它能够识别和利用网络协议的不同状态。

Server fuzzing is difficult. Unlike simple command-line tools, servers feature a massive state space that can be traversed effectively only with well-defined sequences of input messages. Valid sequences are specified in a protocol. In this paper, we present AFLNET, the first greybox fuzzer for protocol implementations. Unlike existing protocol fuzzers, AFLNET takes a mutational approach and ...

2020年10月1日 · This work proposes a grammar-aware coverage-based greybox fuzzing approach to fuzz programs that process structured inputs, and implemented it as an extension to AFL, named Superion; and evaluated the effectiveness of Superion using large- scale programs.