Beyond BloodHound: Why Finding Attack Paths Is Only Half the Battle in Modern Identity Security

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Introduction:

The discovery of Active Directory attack paths using tools like BloodHound has become a standard practice for security teams. However, the real challenge emerges not in identifying these critical security gaps, but in navigating the organizational politics and complex remediation workflows required to fix them. For enterprises subject to stringent regulations or those exceeding 1,000 employees, a DIY approach to attack path management is no longer sufficient for effective risk management.

Learning Objectives:

  • Understand the limitations of manual, periodic attack path analysis and the necessity of continuous risk assessment.
  • Learn how to automate attack path discovery and integrate it into a security program.
  • Develop strategies for overcoming organizational barriers to remediation and establishing clear ownership for security boundaries.

You Should Know:

  1. The BloodHound CE Starting Point and Its Inherent Limitations

The journey often begins with BloodHound Community Edition (CE). Teams use it to run manual checks, typically on an annual, semi-annual, or quarterly basis. They collect data using the built-in collector, SharpHound, and run pre-built or custom Cypher queries to find paths to high-privileged groups like Domain Admins.

Step-by-step guide:

  • Data Collection: Use SharpHound to ingest data from your Active Directory environment.
    Basic collection on a domain-joined machine
    SharpHound.exe --CollectionMethod All --Domain corp.local --ZipFilename colleted_data.zip
    
  • Import & Analyze: Import the resulting ZIP file into BloodHound CE. Use built-in queries like “Shortest Path to Domain Admins” or write custom Cypher queries.
  • The Gap: This process provides a point-in-time snapshot. It lacks continuous monitoring, making it impossible to track the evolution of risk or detect new paths created by routine IT changes. The burden of analysis, reporting, and tracking remediation falls entirely on the security team.

2. Automating Discovery: Building a Continuous Assessment Foundation

Mature teams move beyond manual runs by automating data collection and building dashboards. This creates a continuous self-assessment loop, but the critical question remains: assessment of what? Often, it’s still just the “shortest paths to Domain Admin,” which is a narrow view of the overall risk landscape.

Step-by-step guide:

  • Schedule Collections: Use a task scheduler to run SharpHound regularly.
    Create a scheduled task on Windows to run SharpHound daily
    schtasks /create /tn "Daily BloodHound Collection" /tr "C:\Tools\SharpHound.exe --CollectionMethod All --ZipFilename C:\Data\bh_%date%.zip" /sc daily /st 23:00
    
  • Leverage APIs: Use the BloodHound Enterprise API or BloodHound CE’s Neo4j database to pull data into a Security Information and Event Management (SIEM) or dashboarding tool like Grafana.
  • The Reality: While automation is a step forward, it primarily scales the discovery of problems, not their resolution. You now have a constant stream of data showing paths, but the organizational machinery to act on them is often missing.
  1. Defining Your True Tier Zero and Security Boundaries

A common pitfall is focusing solely on the well-known Domain Admins group. Your organization’s true “Tier Zero”—the assets that control your identity and access management system—is likely broader. This includes groups with rights to modify other groups, domain controllers, and identity management servers.

Step-by-step guide:

  • Identify Tier Zero Assets: Beyond Domain Admins, identify:
  • Administrators of cloud tenants (e.g., Azure Global Administrators).
  • Groups like “Account Operators,” “Server Operators.”
  • Workstations where local administrators are also Domain Admins.
  • Map Security Boundaries: Use BloodHound to visualize what can access these Tier Zero assets. A security boundary is only as strong as the weakest path leading to it.
  • Command Example: A custom Cypher query in BloodHound to find users that can compromise a specific high-value group.
    MATCH p=(m)-[r:MemberOf|AdminTo|HasSession|SyncLAPSPassword|DCSync|ForceChangePassword|AddMember|AddSelf|WriteOwner|GenericAll1..]->(g:Group {name: "[email protected]"})
    RETURN p
    

4. The Politics of Ownership and Remediation Workflows

This is where most organizations hit a wall. A BloodHound path might reveal that a helpdesk technician’s account can, through a chain of five permissions, compromise a Domain Admin. Fixing this path may require changes owned by the Identity team, the Server team, and the Application team.

Step-by-step guide:

  • Document Paths with Context: Don’t just share a BloodHound screenshot. Document the path in a ticket with a clear narrative: “Service Account A -> has admin rights to Server B -> which has a session from User C -> who is a member of Group D -> which has delegated rights over Group E.”
  • Establish a Cross-Functional Review Board: Create a formal process involving stakeholders from Identity, Infrastructure, and Application teams to review critical attack paths, assign ownership, and prioritize fixes.
  • Track and Measure: Use a ticketing system to track the lifecycle of each critical attack path from discovery to remediation. Measure Mean Time to Remediate (MTTR) for these risks.
  1. Integrating with Your Security Stack for Programmatic Risk Management

DIY solutions lack the Key Risk Indicators (KRIs) needed for a board-level security program. Integration with your existing security tools is crucial for moving from a technical exercise to a risk management program.

Step-by-step guide:

  • Integrate with SIEM/SOAR: Forward BloodHound data (via its API) to your SIEM. Create alerts for the creation of new, high-risk attack paths.
  • Correlate with Vulnerability Data: Combine attack path data with vulnerability scans. An attack path leading to a server with a critical vulnerability is a much higher risk.
  • Cloud Identity Integration: For hybrid environments, extend the analysis to cloud identities using tools like BloodHound’s AzureHound collector. The principles are the same, but the attack primitives differ (e.g., `AppRoleAssignment` in Azure AD).

What Undercode Say:

  • The primary bottleneck in identity security is no longer visibility, but organizational alignment and process. Tools show you the “what,” but people and process determine the “how” of remediation.
  • For regulated and large enterprises, a manual or semi-automated approach to attack path management creates significant compliance and operational risk. A programmatic solution that provides KRIs, change tracking, and integrated workflows is no longer a luxury but a necessity.

Prediction:

The future of identity security will see a rapid convergence of Attack Path Management (APM) platforms with Identity Threat Detection and Response (ITDR) and Cloud Security Posture Management (CSPM) solutions. The focus will shift from merely visualizing complex paths to AI-driven prioritization that considers business context, and automated remediation playbooks that can surgically break attack paths with minimal operational disruption. Organizations that fail to bridge the gap between finding and fixing attack paths will find themselves perpetually in a reactive stance, unable to keep pace with the evolving threat landscape.

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