Alessandro Mantovani's research works | EURECOM, Biot and other places

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Dissecting American Fuzzy Lop – A FuzzBench Evaluation - RCR Report

Article

Feb 2023

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...

Dissecting American Fuzzy Lop – A FuzzBench Evaluation

Article

Jan 2023

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...

Dissecting American Fuzzy Lop -- A FuzzBench Evaluation

Preprint

Full-text available

Dec 2022

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...

Fuzzing with Data Dependency Information

Conference Paper

Jun 2022

The Convergence of Source Code and Binary Vulnerability Discovery -- A Case Study

Conference Paper

May 2022

Fuzzing with Data Dependency Information

Article

Full-text available

Mar 2022

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...

Registered Report: Dissecting American Fuzzy Lop - A FuzzBench Evaluation

Preprint

Full-text available

Mar 2022

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...

Dissecting American Fuzzy Lop - A FuzzBench Evaluation

Conference Paper

Jan 2022

Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes

Conference Paper

Jan 2021

Prevalence and Impact of Low-Entropy Packing Schemes in the Malware Ecosystem

Conference Paper

Full-text available

Feb 2020

An open research problem on malware analysis is how to statically distinguish between packed and non-packed executables. This has an impact on antivirus software and malware analysis systems, which may need to apply different heuristics or to resort to more costly code emulation solutions to deal with the presence of potential packing routines. It...