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

Agent Skill

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。

总安装

535

周安装

23

GitHub Stars

5,899

下载量

188
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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