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STIMSMITH

Multi-target Coverage-based Greybox Fuzzing

Technique
First seen 7/12/2026
Last seen 7/12/2026
Evidence 6 chunks

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RELATIONSHIPS

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Multi-target Coverage-based Greybox Fuzzing (Master's Thesis 2025) ← introduces 100% 2e
The paper proposes the Multi-target Coverage-based Greybox Fuzzing method.
MTCFuzz ← implements 100% 2e
MTCFuzz implements the proposed Multi-target Coverage-based Greybox Fuzzing method.
Multi-target Coverage Feedback uses → 100% 2e
The proposed method leverages multi-target coverage feedback from cooperating software components.
QEMU uses → 100% 2e
The proposed method uses QEMU as a unified execution environment to trace coverage across software boundaries.
Multi-target Coverage Feedback ← part of 100% 2e
Multi-target coverage feedback is the defining component of the proposed fuzzing approach.
TCG-based Instrumentation uses → 100% 2e
The proposed method uses QEMU TCG instrumentation to measure coverage across software boundaries.
Snapshot-based Fuzzing uses → 90% 2e
MTCFuzz uses snapshots to restore system state between fuzzing iterations.