Neo4j

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Import Data from CSV and Define Relationships Between Nodes

Below is a sample CSV file with 3 columns, that represents Windows authentication information between different endpoints (think lateral movement detection/investigation/threat hunting):

A computer that successfully authenticated to a DestinationComputer

A computer that SourceComputer authenticated to

A user name that was used to logon from SourceComputer to DestinationComputer

"SourceComputer","DestinationComputer","DestinationUserName"

"WS01","WS02","administrator"

"WS01","WS03","administrator"

"WS02","WS03","administrator"

"WS03","WS04","administrator"

"WS04","WS05","administrator"

"WS05","WS06","administrator"

"WS06","WS07","administrator"

"WS07","DB01","administrator"

"DB01","FS05","administrator"

The file needs to be saved to the import folder of your database folder. In my case, the path is C:\Users\User\AppData\Local\Neo4j\Relate\Data\dbmss\dbms-8320b8a8-e54d-4742-a432-c8014b5968ec\import\lateral-movement.csv

Importing Nodes from CSV and Creating Relationships

LOAD CSV WITH HEADERS FROM 'file:///lateral-movement.csv' AS line

MERGE (a:Computer {Computer:line.SourceComputer} )

MERGE (b:Computer {Computer:line.DestinationComputer} )

MERGE (a) -[:LOGGED_IN {loggedAs:line.DestinationUserName}]-> (b)

match (a) -[r] -> () delete a, r; match (a) delete a

Match Nodes WHERE DestinationComputer Contains "WS"

MATCH p=()-[r:LOGGED_IN]->(m:Computer) where m.Computer CONTAINS "WS" RETURN p LIMIT 25

Match Nodes WHERE Relationship Contains "james"

MATCH p=()-[r:LOGGED_IN]->() where (r.loggedAs contains "james") RETURN p LIMIT 25

Match Nodes with 3 Hops Between Them

MATCH p=()-[r:LOGGED_IN*3]->() RETURN p LIMIT 25

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