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/learning/tools/sharphound :: tool-guide-53

defender@hack3rs:~/learning/tools$ open sharphound

SharpHound

AD data collection for BloodHound (dual-use)

SharpHound collects Active Directory relationship data for BloodHound analysis and is studied by defenders in authorized labs to understand what AD data enables privilege-path mapping and how to detect and harden against misuse.

how-to-learn-this-tool-like-a-defender

Work through the stages in order. Each one builds on the previous. Skipping straight to 'run a command' without knowing what the output means is how analysts end up misreading evidence under pressure.

$Name the specific question this tool answers — and one question it cannot answer alone.
$Run the simplest command in a lab against a host you control; read every field in the output before moving on.
$Identify which output fields are direct evidence and which are inferences the tool made on your behalf.
$Pull a second source — a log, a PCAP, a SIEM event — that either confirms or contradicts what the tool reported.
$Write down the exact command you ran, what you expected, what you got, and what you are doing next.

preflight-checklist-before-using-tool

$Confirm in writing: who authorized this, what hosts are in scope, and what the maximum acceptable impact is.
$State the question you are trying to answer — not 'run the tool' but 'confirm whether port 443 is open on 10.10.20.15'.
$Name the second source you will use if the tool output is ambiguous (log, PCAP, CMDB, another tool).
$Record the start time, the host or interface you ran it on, and the exact command — enough for another analyst to reproduce it.
$Know what normal output looks like for this host before you run anything in anger.

how-experts-read-output

$Field recognition: identify the two or three fields that directly answer your question and ignore the rest for now.
$Scope check: confirm the output covers the host, interface, and time window you intended — not a cached or adjacent result.
$Evidence type: is this a direct observation (packet captured, port open) or an inference the tool made (service guessed from banner)?
$Correlation: name the one other source — a log line, a PCAP stream, a CMDB entry — that would confirm or contradict this.
$Decision: close the question, escalate with evidence, refine the scope, or collect another source — pick one and do it.

official-links

open docs Reference docs for SharpHound — commands, flags, config options release notes Changelog and release history for SharpHound project site SharpHound project home and maintainer information

ethical-use-and-defense-scope

SharpHound is dual-use — defenders need it, and attackers use it too. Run it only inside an authorized lab, a scoped internal assessment, or an engagement with explicit written scope and owner sign-off. No exceptions.

Before you run it: write down the target, the expected output, and the stop condition. After you run it: save the commands and output so another analyst can reproduce your results without guessing.

Defenders use SharpHound to find gaps — weak configs, missing detections, credential exposure, protocol abuse paths. Attackers use the same output. Keep that tension in mind. The measure of a good lab session is what you hardened or detected afterward, not how far the tool ran.

tool-history-origin-and-purpose

$When created: SharpHound was introduced in the 2010s as the data collector component for BloodHound workflows.
$Why it was created: Users needed a repeatable collector to gather the data required for AD privilege-path analysis.

It was created to collect AD relationship and configuration data efficiently for graph analysis in BloodHound.

why-defenders-still-use-it

Defenders use SharpHound in labs and authorized AD reviews to understand data collection scope, validate hardening, and improve logging around AD reconnaissance behaviors.

How the tool evolved

+Core part of BloodHound-based AD analysis workflows.
+Used in both offensive simulation and defensive hardening programs.
+Important for teaching what AD data collection looks like and how to monitor it.

when-this-tool-is-a-good-fit

+AD hardening and telemetry validation.
+Understanding BloodHound data dependencies.
+Windows logging/detection tuning for AD data collection behavior.

when-to-use-another-tool-or-source

!When you need host process/user context, pair with endpoint or OS logs.
!When you need ownership and business impact, pair with CMDB/ticketing/asset context.
!When the tool output is ambiguous, validate using a second evidence source before concluding.
!When production risk is high, test in a lab first and use change coordination.

1. Where SharpHound Fits in a Defender's Workflow

The role here is "AD data collection for BloodHound (dual-use)." That scoping matters. A triage tool used as an investigation tool produces the wrong level of depth; an investigation tool used as a monitoring tool burns analyst time. Pick the right phase, then pick the tool.

Start with a concrete question — "Is this service reachable from the DMZ?" or "Do we have stale DNS records for this domain?" — rather than opening the tool and seeing what turns up.

2. Running It Safely and Repeatably

Write down target scope, authorized impact, and a stop condition before you run anything. If the lab ends and your notes only say "ran SharpHound", the session didn't count as learning.

Baseline first. Collect one clean-state output, label it, save it. Then make your change or run your test. Without a before state, you can't tell what SharpHound actually found versus what was already there.

SharpHound is Windows-specific. Pull Windows event logs, PowerShell logging, and identity data alongside tool output — without that context, you're reading half the picture.

3. Reading Output Like an Analyst

SharpHound output answers a narrow question. Check scope first: right host, right interface, right time window, right protocol layer. If any of those are off, the output is misleading, not wrong — a subtler problem.

Collect a known-good example before chasing anomalies. An analyst who has only ever seen bad output can't explain why something is suspicious — they can only say it looks different. Baseline removes that ambiguity.

Every output review ends with a decision: close it, escalate it, tune a detection, patch something, or collect more evidence. "Interesting" without a next action isn't a finding.

4. Lab Design and Practice

One goal per lab session. Not "learn SharpHound" — something specific: validate a lockout policy, catch a stale record, confirm a port is filtered end-to-end. Narrow goals produce usable results.

Run both the normal case and the failing case in the same session. The contrast is what builds judgment. Analysts who have only seen success don't recognize partial failures under pressure.

Finish with a written summary: what you observed, the evidence behind it, what you still don't know, and one thing that should change — a control, a detection, a runbook entry. That summary is the actual output of the lab.

scenario-teaching-playbooks

Work through each scenario step by step. The goal is to practice making decisions with the tool — not just executing commands — so the workflow becomes automatic before you need it under pressure.

1. AD hardening and telemetry validation.

Suggested starting block: Orientation And Safe Startup

$Write the question you need to answer and the exact hosts or segments you are authorized to inspect.
$Run the first command from the selected command block; note the timestamp and interface used.
$Read the output field by field — identify what the tool confirmed versus what it inferred.
$Check a second source (host log, SIEM alert, PCAP, ticket, or CMDB record) that covers the same time window.
$Write one sentence stating your finding, your confidence level, and the next action.

2. Understanding BloodHound data dependencies.

Suggested starting block: Defender Notes And Evidence Workflow

$Write the question you need to answer and the exact hosts or segments you are authorized to inspect.
$Run the first command from the selected command block; note the timestamp and interface used.
$Read the output field by field — identify what the tool confirmed versus what it inferred.
$Check a second source (host log, SIEM alert, PCAP, ticket, or CMDB record) that covers the same time window.
$Write one sentence stating your finding, your confidence level, and the next action.

3. Windows logging/detection tuning for AD data collection behavior.

Suggested starting block: Correlation And Follow-Up

$Write the question you need to answer and the exact hosts or segments you are authorized to inspect.
$Run the first command from the selected command block; note the timestamp and interface used.
$Read the output field by field — identify what the tool confirmed versus what it inferred.
$Check a second source (host log, SIEM alert, PCAP, ticket, or CMDB record) that covers the same time window.
$Write one sentence stating your finding, your confidence level, and the next action.

cli-workflows

Lab-safe commands for authorized environments. Run each one, read the output, and note what field or value tells you something useful before moving to the next.

cli-walkthroughs-with-expected-output

One command per block, with sample output. Study the output before you run the command yourself — you should recognize what you are looking at when it appears on your screen.

Orientation And Safe Startup

Beginner

Command

SharpHound.exe --help   # Windows lab example

Example Output

SharpHound 2.5.7
Usage: SharpHound.exe [options]

  -c, --CollectionMethods  Collection methods (Default, All, DCOnly, Session)
  -d, --Domain             Domain to enumerate
  -s, --SearchForest       Search all forest domains
  --SkipPortCheck          Skip checking if target port is open
  --OutputDirectory        Directory to output file to
  --OutputPrefix           Prefix for output file names

Windows domain lab only — run from an authorized Windows environment.

$ how to read it: Read the key fields — host, port, protocol, state — then ask whether the output answers the question you started with. If it raises a new question instead, collect a second source before drawing a conclusion.

Defender Notes And Evidence Workflow

Intermediate

Command

printf "goal:
scope:
expected_output:
normal_pattern:
failure_pattern:
next_action:
" > tool-labs/sharphound/notes/session.txt

Example Output

goal: collect BloodHound ingestor data from authorized AD lab
scope: lab.local — authorized Windows AD lab, domain-joined machine only
expected_output: SharpHound ZIP archive with JSON graph data for BloodHound import
normal_pattern: collection completes without errors, files match expected size
failure_pattern: access denied errors, missing objects, or incomplete collection output
next_action: import ZIP into BloodHound, review attack paths, document findings

Correlation And Follow-Up

Advanced

Command

journalctl --since "-15 min" | tail -n 40 || true

Example Output

Mar 17 10:12:01 lab-host sshd[2341]: Accepted publickey for analyst from 10.0.0.5 port 54321
Mar 17 10:12:44 lab-host sudo[2345]: analyst : TTY=pts/0 ; COMMAND=/usr/bin/systemctl status
Mar 17 10:14:03 lab-host systemd[1]: Started Session 4 of user analyst.
Mar 17 10:15:19 lab-host kernel: [UFW ALLOW] IN=eth0 SRC=10.0.0.5 DST=10.0.0.10 PROTO=TCP DPT=443

command-anatomy-and-expert-usage

Each card explains what the command is for, what can go wrong, and what the output means. Syntax is easy to look up; knowing which command to reach for — and what to ignore in the output — is the skill worth building.

Orientation And Safe Startup

Beginner

Command

SharpHound.exe --help   # Windows lab example

Command Anatomy

$Base command: SharpHound.exe
$Primary arguments/options: --help # Windows lab example
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Baseline command: learn what normal output looks like.

Show sample output and interpretation notes

SharpHound 2.5.7
Usage: SharpHound.exe [options]

  -c, --CollectionMethods  Collection methods (Default, All, DCOnly, Session)
  -d, --Domain             Domain to enumerate
  -s, --SearchForest       Search all forest domains
  --SkipPortCheck          Skip checking if target port is open
  --OutputDirectory        Directory to output file to
  --OutputPrefix           Prefix for output file names

Windows domain lab only — run from an authorized Windows environment.

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Orientation And Safe Startup

Beginner

Command

SharpHound.exe --help   # Windows lab example

Command Anatomy

$Base command: SharpHound.exe
$Primary arguments/options: --help # Windows lab example
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Intermediate step: refine scope or extract more useful evidence.

Show sample output and interpretation notes

SharpHound 2.5.7
Usage: SharpHound.exe [options]

  -c, --CollectionMethods  Collection methods (Default, All, DCOnly, Session)
  -d, --Domain             Domain to enumerate
  -s, --SearchForest       Search all forest domains
  --SkipPortCheck          Skip checking if target port is open
  --OutputDirectory        Directory to output file to
  --OutputPrefix           Prefix for output file names

Windows domain lab only — run from an authorized Windows environment.

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Orientation And Safe Startup

Beginner

Command

mkdir -p tool-labs/sharphound/{notes,artifacts,screenshots}

Command Anatomy

$Base command: mkdir
$Primary arguments/options: -p tool-labs/sharphound/{notes,artifacts,screenshots}
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Advanced step: use after baseline and validation are understood.

Show sample output and interpretation notes

# no output — directory created successfully

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Defender Notes And Evidence Workflow

Intermediate

Command

printf "goal:
scope:
expected_output:
normal_pattern:
failure_pattern:
next_action:
" > tool-labs/sharphound/notes/session.txt

Command Anatomy

$Base command: printf
$Primary arguments/options: "goal: scope: expected_output: normal_pattern: failure_pattern:
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Baseline command: learn what normal output looks like.

Show sample output and interpretation notes

goal: collect BloodHound ingestor data from authorized AD lab
scope: lab.local — authorized Windows AD lab, domain-joined machine only
expected_output: SharpHound ZIP archive with JSON graph data for BloodHound import
normal_pattern: collection completes without errors, files match expected size
failure_pattern: access denied errors, missing objects, or incomplete collection output
next_action: import ZIP into BloodHound, review attack paths, document findings

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Defender Notes And Evidence Workflow

Intermediate

Command

cat tool-labs/sharphound/notes/session.txt

Command Anatomy

$Base command: cat
$Primary arguments/options: tool-labs/sharphound/notes/session.txt
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Intermediate step: refine scope or extract more useful evidence.

Show sample output and interpretation notes

goal:
scope:
expected_output:
normal_pattern:
failure_pattern:
next_action:

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Defender Notes And Evidence Workflow

Intermediate

Command

printf "timestamp,observation,confidence,validation_source
" > tool-labs/sharphound/notes/evidence.csv

Command Anatomy

$Base command: printf
$Primary arguments/options: "timestamp,observation,confidence,validation_source " > tool-labs/sharphound/notes/evidence.csv
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Advanced step: use after baseline and validation are understood.

Show sample output and interpretation notes

timestamp  observation  confidence  validation_source
" > tool-labs/sharphound/notes/evidence.csv

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Correlation And Follow-Up

Advanced

Command

journalctl --since "-15 min" | tail -n 40 || true

Command Anatomy

$Base command: journalctl
$Primary arguments/options: --since "-15 min" | tail
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Baseline command: learn what normal output looks like.

Show sample output and interpretation notes

Mar 17 10:12:01 lab-host sshd[2341]: Accepted publickey for analyst from 10.0.0.5 port 54321
Mar 17 10:12:44 lab-host sudo[2345]: analyst : TTY=pts/0 ; COMMAND=/usr/bin/systemctl status
Mar 17 10:14:03 lab-host systemd[1]: Started Session 4 of user analyst.
Mar 17 10:15:19 lab-host kernel: [UFW ALLOW] IN=eth0 SRC=10.0.0.5 DST=10.0.0.10 PROTO=TCP DPT=443

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Correlation And Follow-Up

Advanced

Command

tshark -r sample.pcap -q -z io,phs || true

Command Anatomy

$Base command: tshark
$Primary arguments/options: -r sample.pcap -q -z io,phs
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Packet capture, packet summary, or PCAP slicing for evidence.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Intermediate step: refine scope or extract more useful evidence.

Show sample output and interpretation notes

Protocol Hierarchy Statistics
eth
 ip
  tcp
   tls
  udp
   dns

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Correlation And Follow-Up

Advanced

Command

printf "finding,owner,action,status
" > tool-labs/sharphound/notes/actions.csv

Command Anatomy

$Base command: printf
$Primary arguments/options: "finding,owner,action,status " > tool-labs/sharphound/notes/actions.csv
$Operator goal: know what answer you expect before you run it; if the output surprises you, investigate before concluding.

Use And Risk

$ intent: Collect, validate, or document evidence in a defensive workflow.

$ risk: Review command impact before running; validate in lab first if uncertain.

$ learning focus: Advanced step: use after baseline and validation are understood.

Show sample output and interpretation notes

finding  owner  action  status
" > tool-labs/sharphound/notes/actions.csv

$ expert reading pattern: Check that the scope matches what you intended, pick out the two or three fields that answer your question, then find one other source that confirms before you act.

Orientation And Safe Startup

SharpHound.exe --help   # Windows lab example
SharpHound.exe --help   # Windows lab example
mkdir -p tool-labs/sharphound/{notes,artifacts,screenshots}

Defender Notes And Evidence Workflow

printf "goal:
scope:
expected_output:
normal_pattern:
failure_pattern:
next_action:
" > tool-labs/sharphound/notes/session.txt
cat tool-labs/sharphound/notes/session.txt
printf "timestamp,observation,confidence,validation_source
" > tool-labs/sharphound/notes/evidence.csv

Correlation And Follow-Up

journalctl --since "-15 min" | tail -n 40 || true
tshark -r sample.pcap -q -z io,phs || true
printf "finding,owner,action,status
" > tool-labs/sharphound/notes/actions.csv

defensive-use-cases

$AD hardening and telemetry validation.
$Understanding BloodHound data dependencies.
$Windows logging/detection tuning for AD data collection behavior.

common-mistakes

$Running collectors without explicit AD scope and owner approval.
$Collecting data without retention/access controls.
$Ignoring Windows/AD log correlation during tests.

expert-habits-for-free-self-study

Free teaching resource. The loop that makes analysts better: ask a precise question, collect evidence, read it carefully, validate against a second source, document what you found, and repeat with a harder question.

$Pick the least disruptive command that can still answer the question — then run that one first.
$Before you look at output, write one sentence stating what you expect to see.
$Mark each output field as 'observed' or 'inferred by tool' before acting on it.
$Save the exact command with flags and target — not a paraphrase — so another analyst can run the same thing.
$During a quiet period, capture what normal output looks like from key hosts; store those samples where you can find them during an incident.
$When you escalate, include the command output, the timestamp, and one sentence on why it matters — not just 'looks suspicious'.

knowledge-check

?What question is this tool best suited to answer first?
?What permissions or scope approvals are needed before using it?
?Which second evidence source should you pair with it for higher confidence?
?What does normal output look like for your environment?

teaching-answer-guide

Show teaching hints

#Start from the tool’s role and the scenario you are investigating.
#Never rely on one tool alone for high-confidence incident decisions.
#Document normal output patterns during calm periods so anomalies are easier to spot.
#Prefer lab validation for new commands, rules, or scans before production use.

practice-plan

# Pick one specific question SharpHound can answer in your lab, write it down, then write the authorized scope before opening the tool.
# Run the normal case first. Save the output, label it, note the exact command. That is your baseline.
# Run the failure or misconfiguration case. Document what changed in the output and how you would recognize it without already knowing the answer.
# Write a three-sentence summary: what you observed, what evidence supports it, and what you would do next in a real incident.

related-threat-workflows

See where this tool fits into threat-specific detection, triage, and remediation workflows.

open /threats/lateral-movement-after-initial-access Lateral movement after initial access

related-tools-in-this-path

Continue within the same guided track. These tools are commonly studied next in the path(s) this page belongs to.

AD/Windows Path

open path

open osquery osquery open velociraptor Velociraptor open wazuh Wazuh open pingcastle PingCastle

<- previous tool Stegosuite -> next tool socat