القائمة
Auth/lab ref: Feedback-driven, high-speed fuzzer with multi-process/thread execution and persistent fuzzing.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/AeonDave/malskill --skill honggfuzzيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Operate the MCPwn Kali/Debian MCP efficiently: manage sessions, discover catalog tools, choose synchronous, detached, or interactive execution, move files through workspace/CAS planes, establish tunnels and shells, and run GDB or Frida debugging in the MCPwn runtime or through explicit host/device transports. Use for MCPwn or Kali MCP work, pwn/CTF and dynamic-analysis sessions, remote targets, connectivity or file-transfer problems, and optional NeuroMatrix-backed emulation/debugging through MCPwn's emulation domain.
Operate the standalone, client-neutral NeuroMatrix emulation MCP: create isolated sessions, stage CAS artifacts, discover and run Unicorn/Qiling/QEMU/Renode tools, manage jobs and interactive processes, expose guest endpoints, and debug emulated targets with GDB. Use for reverse engineering, user-mode or full-system emulation, firmware/kernel/MCU analysis, guest-service rehosting, runtime-evidence collection, or as the optional emulation provider behind MCPwn or another orchestrator.
Create, implement, scaffold, migrate, or review Model Context Protocol (MCP) servers against modern MCP 2026-07-28. Use for server architecture, tool/resource/prompt contracts, stdio or Streamable HTTP transports, MRTR, optional extensions, authorization, security, and real-transport validation. Also use to isolate legacy initialization or session behavior. Do not use merely to configure an MCP client or invoke an existing server.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | honggfuzz |
| description | Auth/lab ref: Feedback-driven, high-speed fuzzer with multi-process/thread execution and persistent fuzzing. |
| license | Apache-2.0 |
| compatibility | Linux, macOS, Android, BSD, Windows via Cygwin. |
| metadata | {"author":"GitHub Copilot","version":"1.1"} |
General-purpose evolutionary fuzzer with software/hardware coverage options and strong persistent-mode performance.
# Compile with wrappers
./hfuzz_cc/hfuzz-clang -o target target.c
# Run with file placeholder
./honggfuzz -i seeds -- ./target ___FILE___
# Persistent mode
./honggfuzz -P -i seeds -- ./target
___FILE___ or -s stdin mode).-P) as soon as target design allows.-M) periodically.| Flag | Description |
|---|---|
-i <dir> | Input corpus directory |
--output <dir> | Output directory for dynamic/minimized corpus |
-P | Persistent mode |
-n <threads> | Number of fuzzing threads |
-M | Corpus minimization mode |
-x | Disable instrumentation feedback (static mode) |
-s | Feed input via stdin |
--sanitizers | Enable sanitizer-aware handling (build-dependent) |
-dict for highly structured input grammars.-t) and mutation count per run (-r) before scaling threads.--rlimit_*) to prevent campaign collapse.-x) baseline vs coverage-driven modes to validate benefit.