Andrea Fioraldi

EURECOM · Digital Security Department

This report describes the artifacts of the “Dissecting American Fuzzy Lop – A FuzzBench Evaluation” paper. The artifacts are available online at https://github.com/eurecom-s3/dissecting_afl and archived at https://doi.org/10.6084/m9.figshare.21401280 and consists in the produced code, the setup to run the experiments in FuzzBench and the generated...

AFL is one of the most used and extended fuzzer, adopted by industry and academic researchers alike. While the community agrees on AFL’s effectiveness at discovering new vulnerabilities and at its outstanding usability, many of its internal design choices remain untested to date. Security practitioners often clone the project “as-is” and use it as...

AFL is one of the most used and extended fuzzer, adopted by industry and academic researchers alike. While the community agrees on AFL's effectiveness at discovering new vulnerabilities and at its outstanding usability, many of its internal design choices remain untested to date. Security practitioners often clone the project "as-is" and use it as...

Recent advances in fuzz testing have introduced several forms of feedback mechanisms, motivated by the fact that for a large range of programs and libraries, edge-coverage alone is insufficient to reveal complicated bugs. Inspired by this line of research, we examined existing program representations looking for a match between expressiveness of th...

AFL is one of the most used and extended fuzzing projects, adopted by industry and academic researchers alike. While the community agrees on AFL's effectiveness at discovering new vulnerabilities and at its outstanding usability, many of its internal design choices remain untested to date. Security practitioners often clone the project "as-is" and...

While fuzz testing proved to be a very effective technique to find software bugs, open challenges still exist. One of the its main limitations is the fact that popular coverage-guided designs are optimized to reach different parts of the program under test, but struggle when reachability alone is insufficient to trigger a vulnerability. In reality,...

Fuzz Testing techniques are the state of the art in software testing for security issues nowadays. Their great effectiveness attracted the attention of researchers and hackers and involved them in developing a lot of new techniques to improve Fuzz Testing. The evaluation and the cross-comparison of these techniques is an almost open problem. In thi...

Fuzz testing proved its great effectiveness in finding software bugs in the latest years, however, there are still open challenges. Coverage-guided fuzzers suffer from the fact that covering a program point does not ensure the trigger of a fault. Other more sensitive techniques that in theory should cope with this problem, such as the coverage of t...

Fuzz testing techniques are becoming pervasive for their ever-improving ability to generate crashing trial cases for programs. Memory safety violations however can lead to silent corruptions and errors, and a fuzzer may recognize them only in the presence of sanitization machinery. For closed-source software combining sanitization with fuzzing incu...

Fuzzing technologies have evolved at a fast pace in recent years, revealing bugs in programs with ever increasing depth and speed. Applications working with complex formats are however more difficult to take on, as inputs need to meet certain format-specific characteristics to get through the initial parsing stage and reach deeper behaviors of the...

In this thesis, we introduce the idea of combining symbolic execution with dynamic analysis for reverse engineering. Differently from DSE, we devise an approach where the reverse engineer can use a debugger to drive and inspect a concrete execution engine of the application code and then, when needed, transfer the execution into a symbolic executor...

In this paper, we present AFL ++ , a community-driven open-source tool that incorporates state-of-the-art fuzzing research, to make the research comparable, reproducible, combinable and-most importantly-useable. It offers a variety of novel features, for example its Custom Mutator API, able to extend the fuzzing process at many stages. With it, mut...

Fuzzing technologies have evolved at a fast pace in recent years, revealing bugs in programs with ever increasing depth and speed. Applications working with complex formats are however more difficult to take on, as inputs need to meet certain format-specific characteristics to get through the initial parsing stage and reach deeper behaviors of the...

In this thesis, we introduce the idea of combining symbolic execution with dynamic analysis for reverse engineering. The synchronization between a debugger and a symbolic executor can enhance manual dynamic analysis and allow a reverser to easily solve small portions of code without leaving the debugger. We implemented a synchronization mechanism o...