The Impact of Magma: A Ground-Truth Fuzzing Benchmark

📅 2026-08-28
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
为了解决模糊测试工具评估不一致的问题,本文介绍了一个开源基准Magma,用于统一评估和比较模糊测试工具。
📝 Abstract
Magma is an open-source and ground-truth fuzzing benchmark that enables uniform fuzzer evaluation and comparison. Magma was originally released with a research paper published at ACM SIGMETRICS 2021. This short paper explains the motivation, the design, and the impact of Magma, with a description of extensions to the original benchmark.
Problem

Research questions and friction points this paper is trying to address.

Magma
fuzzing benchmark
uniform fuzzer evaluation
Innovation

Methods, ideas, or system contributions that make the work stand out.

Magma
ground-truth fuzzing benchmark
uniform fuzzer evaluation
A
Ahmad Hazimeh
EPFL; BugScale
A
Adrian Herrera
Australian National University; Interrupt Labs
S
Srividya Subramanian
ETHZ; EPFL
T
Thaqiya Aman
Presidency University Bangalore; EPFL
S
Sara Vaccino
EPFL
Qiang Liu
Qiang Liu
EPFL
System Security
Mathias Payer
Mathias Payer
EPFL IC, HexHive Laboratory
system securitysoftware securitymitigationsautomated testingcompartmentalization