boofuzz vs Fuzzilli

boofuzz is a network protocol fuzzing framework and a successor to Sulley. It installs as a Python library for building fuzzer scripts, using `pip install boofuzz`, and requires Python 3.9 or later. Its workflow generates data, detects failures, resets targets after failures, and records test data. It supports varied communications, including serial, Ethernet and IP-layer traffic, UDP broadcast, TCP, UDP, SSL, and raw sockets. Run logs are saved in a SQLite database in the boofuzz-results directory, saved runs can be reopened in a web interface with `boo open`, and results can be exported as CSV. A process monitor can detect crashes and restart applications on Windows or Linux, but must run on the target machine. The optional network monitor requires Pcapy and Impacket, which are not installed automatically. Public FTP and HTTP protocol libraries are documented, though their implementations do not provide full protocol coverage. The project describes extensibility for instrumentation and failure detection. It uses the GPL-2.0 license; usage questions are directed to Stack Overflow, while bugs and suggestions can go to GitHub issues or pull requests.

Fuzzilli is a free, open-source, coverage-guided fuzzer for dynamic language interpreters. It represents test programs in FuzzIL, mutates them, and translates them to JavaScript for execution. Its mutators can change data flow or operation parameters, generate or splice code, and combine corpus programs. Components include a mutation fuzzer, script runner, corpus, environment, minimizer, evaluator, and lifter. A target engine runs repeated scripts in a read-eval-print-reset loop, resetting between cases; multiple instances can synchronize within a process or across machines over TCP. Listed target directories include JavaScriptCore, JerryScript, QuickJS, QtJS, Serenity, SpiderMonkey, V8, XS, Duktape, and njs. Setup requires compiling a supported engine with coverage instrumentation using clang 4.0 or later, then building Fuzzilli with Swift Package Manager. Docker and Google Compute Engine tooling are provided. The project supports Linux, macOS, and self-hosted use and identifies its license as Apache-2.0. Its repository says it is not an officially supported Google product. Contributions require a Contributor License Agreement and are reviewed through GitHub pull requests.