Exploiting Active Directory With Bloodhound

Exploiting Active Directory with BloodHound

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.

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

Implementation Steps

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

Key BloodHound Queries

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