splunk-security_content/docs/_posts/2021-05-27-detect_sharphound_usage.md

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title	excerpt	categories	last_modified_at	toc	toc_label	tags
Detect SharpHound Usage	Domain Account, Local Groups, Domain Trust Discovery, Local Account, Account Discovery, Domain Groups, Permission Groups Discovery	Endpoint	2021-05-27	true		Domain Account Discovery Local Groups Discovery Domain Trust Discovery Discovery Local Account Discovery Account Discovery Discovery Domain Groups Discovery Permission Groups Discovery Discovery Splunk Enterprise Splunk Enterprise Security Splunk Cloud Endpoint

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Description

The following analytic identifies SharpHound binary usage by using the original filena,e. In addition to renaming the PE, other coverage is available to detect command-line arguments. This particular analytic looks for the original_file_name of SharpHound.exe and the process name. It is possible older instances of SharpHound.exe have different original filenames. Dependent upon the operator, the code may be re-compiled and the attributes removed or changed to anything else. During triage, review the metadata of the binary in question. Review parallel processes for suspicious behavior. Identify the source of this binary.

• Type: TTP
• Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
• Datamodel: Endpoint
• Last Updated: 2021-05-27
• Author: Michael Haag, Splunk
• ID: dd04b29a-beed-11eb-87bc-acde48001122

ATT&CK

ID	Technique	Tactic
T1087.002	Domain Account	Discovery

| T1069.001 | Local Groups | Discovery |

| T1482 | Domain Trust Discovery | Discovery |

| T1087.001 | Local Account | Discovery |

| T1087 | Account Discovery | Discovery |

| T1069.002 | Domain Groups | Discovery |

| T1069 | Permission Groups Discovery | Discovery |

Search

| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.process_name=sharphound.exe OR Processes.original_file_name=SharpHound.exe) by Processes.dest Processes.user Processes.parent_process_name Processes.original_file_name Processes.process_name Processes.process Processes.process_id Processes.parent_process_id 
| `drop_dm_object_name(Processes)` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `detect_sharphound_usage_filter`

Associated Analytic Story

• Discovery Techniques
• Ransomware

How To Implement

To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the Endpoint datamodel in the Processes node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA for the endpoint product.

Required field

• _time
• Processes.dest
• Processes.user
• Processes.parent_process_name
• Processes.parent_process
• Processes.original_file_name
• Processes.process_name
• Processes.process
• Processes.process_id
• Processes.parent_process_path
• Processes.process_path
• Processes.parent_process_id

Kill Chain Phase

• Reconnaissance

Known False Positives

False positives should be limited as this is specific to a file attribute not used by anything else. Filter as needed.

RBA

Risk Score	Impact	Confidence	Message
24.0	30	80	Potential SharpHound binary identified on dest

Reference

• https://attack.mitre.org/software/S0521/
• https://thedfirreport.com/?s=bloodhound
• https://github.com/BloodHoundAD/BloodHound/tree/master/Collectors
• https://github.com/BloodHoundAD/SharpHound3
• https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1059.001/T1059.001.md#atomic-test-2---run-bloodhound-from-local-disk

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

• https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1059.001/sharphound/windows-sysmon.log

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