This is a living document that captures notes related to anything and all neo4j and cypher queries.
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create database spotless
:use spotless
Below is a sample CSV file with 3 columns, that represents Windows authentication information between different endpoints (think lateral movement detection/investigation/threat hunting):
Column | Meaning |
---|---|
SourceComputer |
A computer that successfully authenticated to a DestinationComputer |
DestinationComputer |
A computer that SourceComputer authenticated to |
DestinationUserName |
A user name that was used to logon from SourceComputer to DestinationComputer |
{% code title="lateral-movement.csv" %}
"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"
"FS05","DC01","da-james"
"WS01","WS04","billy"
"WS02","WS04","sally"
"WS03","WS02","fred"
"WS03","WS02","james"
"WS01","WS02","james"
{% endcode %}
{% hint style="info" %}
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
{% endhint %}
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 p=()-[r:LOGGED_IN]->(m:Computer) where m.Computer CONTAINS "WS" RETURN p LIMIT 25
MATCH p=()-[r:LOGGED_IN]->() where (r.loggedAs contains "james") RETURN p LIMIT 25
MATCH p=()-[r:LOGGED_IN*3]->() RETURN p LIMIT 25