Map and exploit Active Directory attack paths securely
AD-specialist pentest skill: enumerate trust paths with BloodHound, then Kerberoasting/ACL/delegation/AD CS attacks, gated on authorization.
16.6.0Add to Favorites
Why it matters
Conduct authorized Active Directory security assessments by enumerating trust relationships, identifying privilege escalation routes, and testing credential access vulnerabilities in controlled lab or red team environments.
Outcomes
What it gets done
Enumerate AD domains with BloodHound to visualize attack paths and trust relationships
Execute Kerberoasting and AS-REP roasting attacks to extract and crack service tickets
Exploit AD Certificate Services misconfigurations (ESC1-ESC8) using Certipy
Perform NTLM relay attacks and credential extraction with mandatory authorization gates
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-windows-ad | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
Windows / Active Directory Security
An Active Directory attack-path skill: build a BloodHound graph first, then work Kerberoasting, ACL abuse, delegation abuse, AD CS misconfigurations, and NTLM relay in that order, escalating to authorized credential and lateral-movement techniques with evidence logged at every step. Use it once a foothold already exists inside a domain and the engagement has narrowed to identity-based AD attacks, gated on stated target, confirmed written authorization, and explicit per-command confirmation.
What it does
This skill specializes in mapping and attacking Active Directory trust paths once an authorized engagement already has a foothold inside a domain. Its workflow runs in three stages. First, enumeration: pull domain data with tools like NetExec (nxc smb <range> -u user -p pass) and BloodHound (bloodhound-python -d domain.local -u user -p pass -c All -ns <DC>) to build an attack-path graph before touching anything - map first, then act. Second, common attack paths, checked against the graph rather than tried blind: Kerberoasting and AS-REP roasting for offline cracking, ACL abuse (GenericAll/WriteDacl misconfigurations), delegation abuse across unconstrained, constrained, and resource-based delegation, AD CS template misconfigurations located with Certipy, and LLMNR/NBT-NS poisoning paired with ntlmrelayx for forced-authentication relay - the last explicitly gated on confirmed authorization. Third, credentials and lateral movement: secretsdump/lsassy/mimikatz under strict authorization and cleanup discipline, and pass-the-hash, pass-the-ticket, or golden-ticket techniques restricted to an authorized red-team engagement's scope, with every step logged as evidence and explicit user confirmation required before high-risk actions.
When to use - and when NOT to
Use it once a foothold already exists inside the domain and the focus has narrowed to identity-based attacks - Kerberos abuse, AD CS certificate attacks, ACL and delegation abuse, or NTLM relay. Before any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target, the skill requires the user to state the exact target, confirm written authorization and scope, see the exact command and its expected effect, and give explicit confirmation - without that, it stays read-only and defensive-guidance-only. For a multi-stage engagement that starts from outside the network and needs to reach a domain controller, a separate attack-chain skill stays the primary driver and this one serves as the AD-specialist phase within it. It explicitly rules out unauthorized DCSync or using a golden ticket against a production environment, and it hands EDR-focused research to a separate skill rather than covering it here.
Inputs and outputs
- Input: valid domain credentials and confirmed written authorization and scope; a target domain or DC range to enumerate.
- Output: a BloodHound/SharpHound attack-path graph, a prioritized list of exploitable misconditions (Kerberoastable accounts, abusable ACLs, vulnerable AD CS templates, relay-susceptible hosts), and - for confirmed, in-scope findings - reproducible, sanitized commands logged as evidence.
bloodhound-python -d domain.local -u user -p pass -c All -ns <DC>
Integrations
BloodHound and SharpHound for attack-path graphing, Certipy for AD CS certificate-template attacks, Impacket and NetExec for enumeration and lateral movement, Rubeus and Mimikatz for ticket and credential operations (within authorization), and Coercer/Responder for forced-authentication and poisoning attacks. It draws on a dedicated references/ad-attack-paths.md reference plus a shared network-attack-defense reference from a companion pentest-tools skill, and cites prior case write-ups from its own field-journal (an AD CS ESC1 case, an NTLM-relay-via-Coercer case, and a Kerberoasting-via-SPN case). Downstream, findings feed a docs-generator skill for reporting, or route to a separate EDR-research skill when detection-evasion analysis is needed.
Who it's for
Authorized red teamers and penetration testers already inside a Windows domain who need a structured, graph-first path from enumeration to credential compromise, within written, scoped authorization.
FAQ
Common questions
Discussion
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