Token导航 LogoToken导航

Agent Skill · 研究检索

exploiting-active-directory-with-bloodhound(使用 Bloodhound 来利用活动目录)

exploiting-active-directory-with-bloodhound 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

exploiting-active-directory-with-bloodhound 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 53,392。

总安装 535周安装 23GitHub Stars 5,899下载 188核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:exploiting-active-directory-with-bloodhound(使用 Bloodhound 来利用活动目录)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/exploiting-active-directory-with-bloodhound
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiting-active-directory-with-bloodhound
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiting-active-directory-with-bloodhound

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持基于关键词或场景的信息聚合。适合快速定位 BloodHound 图遍历算法、ACL 分析脚本或域内横向移动路径。可按攻击阶段(初始访问/权限提升)分类返回战术技术矩阵。

安装命令:npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiting-active-directory-with-bloodhound 注意:仅限授权红队演练,严禁导出真实域内敏感拓扑信息。

来源仓库内路径:skills/exploiting-active-directory-with-bloodhound

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

exploiting-active-directory-with-bloodhound 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill exploiti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

exploiting-active-directory-with-bloodhound 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

exploiting-active-directory-with-bloodhound 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

exploiting-active-directory-with-bloodhound 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

exploiting-active-directory-with-bloodhound 用的人多吗?

公开数据是累计安装 535 次,近一周安装 23 次,下载 188 次,GitHub 5,899 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

exploiting-active-directory-with-bloodhound 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,899 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
exploiting-active-directory-with-bloodhound

使用 Bloodhound 来利用活动目录 · 本页

5355,899需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Exploiting Active Directory with BloodHound

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Overview

BloodHound is a graph-based Active Directory reconnaissance tool that uses graph theory to reveal hidden and unintended relationships within AD environments. Red teams use BloodHound to identify attack paths from compromised accounts to high-value targets such as Domain Admins, identifying privilege escalation chains that would be nearly impossible to find manually. SharpHound is the official data collector that gathers AD objects, relationships, ACLs, sessions, and group memberships.

When to Use

  • When performing authorized security testing that involves exploiting active directory with bloodhound
  • When analyzing malware samples or attack artifacts in a controlled environment
  • When conducting red team exercises or penetration testing engagements
  • When building detection capabilities based on offensive technique understanding

Prerequisites

  • Familiarity with red teaming concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Collect Active Directory relationship data using SharpHound or BloodHound.py
  • Visualize attack paths from compromised accounts to Domain Admin
  • Identify misconfigured ACLs, group memberships, and delegation settings
  • Discover shortest attack paths to high-value targets
  • Map Kerberos delegation configurations for abuse
  • Document all identified privilege escalation chains

MITRE ATT&CK Mapping

  • T1087.002 - Account Discovery: Domain Account
  • T1069.002 - Permission Groups Discovery: Domain Groups
  • T1482 - Domain Trust Discovery
  • T1615 - Group Policy Discovery
  • T1018 - Remote System Discovery
  • T1033 - System Owner/User Discovery
  • T1016 - System Network Configuration Discovery

Workflow

Phase 1: Data Collection with SharpHound

  1. Transfer SharpHound collector to compromised host
  2. Execute collection with appropriate method (All, DCOnly, Session, LoggedOn)
  3. Collect from all reachable domains if multi-domain environment
  4. Exfiltrate ZIP data files to analysis workstation
  5. Import data into BloodHound CE or Legacy

Phase 2: Attack Path Analysis

  1. Mark owned principals (compromised accounts)
  2. Query shortest path to Domain Admins
  3. Identify Kerberoastable accounts with admin privileges
  4. Find AS-REP Roastable accounts
  5. Analyze ACL-based attack paths (GenericAll, GenericWrite, WriteDACL, ForceChangePassword)
  6. Review GPO abuse opportunities

Phase 3: Exploitation Planning

  1. Prioritize attack paths by complexity and stealth
  2. Identify required tools for each step in the chain
  3. Plan OPSEC considerations for each technique
  4. Execute identified attack chain
  5. Document evidence at each step

Tools and Resources

ToolPurposePlatform
BloodHound CEGraph visualization and analysisWeb-based
SharpHoundAD data collection (.NET)Windows
BloodHound.pyAD data collection (Python)Linux/Windows
Cypher queriesCustom graph queriesNeo4j/BloodHound
PlumHoundAutomated BloodHound reportingPython
Max (BloodHound)BloodHound automationPython

Key BloodHound Queries

QueryPurpose
Shortest Path to Domain AdminsFind fastest route to DA
Find Kerberoastable Users with Path to DASPN accounts leading to DA
Find AS-REP Roastable UsersAccounts without pre-auth
Shortest Path from Owned PrincipalsPaths from compromised accounts
Find Computers with Unsupported OSLegacy systems for exploitation
Find Users with DCSync RightsAccounts that can replicate AD
Find GPOs that Modify Local Group MembershipGPO-based privilege escalation

Validation Criteria

  • SharpHound data collected from all domains
  • Attack paths identified from owned accounts to DA
  • ACL-based attack paths documented
  • Kerberoastable and AS-REP roastable accounts identified
  • Exploitation plan created with prioritized paths
  • Evidence screenshots captured for report

平台分布

Codex

35.62%
按下载量换算67

Claude

27.85%
按下载量换算52

Cursor

18.27%
按下载量换算34

Gemini CLI

8.44%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills