Fuzz testing is a software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The goal is to discover software bugs, security loopholes, and vulnerabilities by observing how the program handles these abnormal inputs. This automated method systematically stresses a system to identify weaknesses that might not be found through standard testing procedures. It is a practical approach for uncovering robust errors in complex systems.
Context
Within the digital asset space, fuzz testing is a valuable tool for auditing smart contracts, blockchain protocols, and associated applications for security flaws. The criticality of preventing exploits in immutable smart contracts makes this testing method highly relevant. Developers routinely employ fuzzing to strengthen the resilience and security of new decentralized finance platforms and digital wallets.
Introducing fuzzing to ZKP circuits solves the oracle problem for soundness, establishing a scalable, practical security layer for verifiable computation.
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