Honggfuzz
A multi-threaded, feedback-driven evolutionary fuzzer that uses low-level process monitoring to discover security vulnerabilities in software applications.

Honggfuzz
A multi-threaded, feedback-driven evolutionary fuzzer that uses low-level process monitoring to discover security vulnerabilities in software applications.
Honggfuzz Description
Honggfuzz is a security-oriented, feedback-driven evolutionary fuzzer designed for vulnerability discovery in software applications. The tool operates in multi-process and multi-threaded modes, allowing it to utilize all available CPU cores with a single running instance. The fuzzer automatically shares and improves file corpus between all fuzzed processes, enabling collaborative testing across multiple threads. It supports persistent fuzzing mode for high-performance testing, capable of executing up to one million iterations per second on modern hardware. Honggfuzz uses low-level system interfaces such as ptrace on Linux and NetBSD to monitor target processes during fuzzing sessions. This approach enables the tool to detect and report hijacked or ignored signals that other fuzzers might miss. The tool includes analysis options for examining discovered vulnerabilities and provides feedback-driven mutation strategies to improve test case generation. It has been used to discover critical security vulnerabilities in major software projects, including OpenSSL. Installation requires development libraries including binutils-dev, libunwind-dev, libblocksruntime-dev, clang, and make. The tool is designed for ease of use while maintaining sophisticated fuzzing capabilities for security researchers and developers.
Honggfuzz FAQ
Common questions about Honggfuzz including features, pricing, alternatives, and user reviews.
Honggfuzz is A multi-threaded, feedback-driven evolutionary fuzzer that uses low-level process monitoring to discover security vulnerabilities in software applications.. It is a Security Operations solution designed to help security teams with Vulnerability Detection, Vulnerability Research, Security Tool.
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