Marcello Maugeri
  • Bio
  • Experience
  • Publications
  • Projects
  • Team
  • Blog
  • Upcoming Talks
    • BenGQL: An Extensible Benchmarking Framework for Automated GraphQL Testing
    • AI-related Vulnerabilities within CVEs: Are We Ready Yet? A Study of Vulnerability Disclosure in AI Products
  • Publications
    • BenGQL: An Extensible Benchmarking Framework for Automated GraphQL Testing
    • Fuzzing OPC UA with AFLNet, ChatAFL and LibAFLstar: A Research Experience Paper
    • AI-related Vulnerabilities within CVEs: Are We Ready Yet? A Study of Vulnerability Disclosure in AI Products
    • LibAFLstar: Fast and State-Aware Protocol Fuzzing
    • Poster: Machine Learning for Vulnerability Detection
    • Privacy Enrooted Car Systems (PECS): Preliminary Design
    • User-Empowered Federated Learning in Automotive
    • Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
    • Fuzzing Matter(s): A White Paper for Fuzzing the Matter Protocol
    • Forkfuzz: Leveraging the Fork-Awareness in Coverage-Guided Fuzzing
    • Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
    • Embedded fuzzing: a review of challenges, tools, and solutions
  • Projects
  • Projects
    • Automated Testing of GraphQL APIs (ATG)
    • α
    • Eulibra
    • PolyMirror.AI
    • LibAFLstar
    • TonAIStark
    • Flare-FL
    • Proteus
    • Fuzzing Matter(s)
    • PECS - Privacy Enrooted Car Systems
    • The Water Code
    • Fantamaniaci (iOS)
    • Dragomanni Apartments Website
    • Do a Shot (iOS)
    • Distantia
  • Experience
  • Hound Team
  • Teaching
    • Learn JavaScript
    • Learn Python

α

1 Aug 2025 · 1 min read

The project aims to develop a fuzzing framework based on LibAFL for multi-process applications. The name is a placeholder and will be revealed after publication.

Last updated on 1 Aug 2025
Fuzzing
Marcello Maugeri
Authors
Marcello Maugeri
PhD Candidate in Computer Science
← Automated Testing of GraphQL APIs (ATG) 15 Sep 2025
Eulibra 21 Jul 2025 →

© 2025 Marcello Maugeri. This work is licensed under CC BY NC ND 4.0

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