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hayabusa/doc/ElasticStackImport/ElasticStackImport-English.md
2022-04-15 07:24:38 +09:00

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Importing Results Into Elastic Stack

Start an elastic stack distribution

Hayabusa results can easily be imported into Elastic Stack. We recommend using SOF-ELK, a free elastic stack Linux distro focused on DFIR investigations.

First download and unzip the SOF-ELK 7-zipped VMware image from http://for572.com/sof-elk-vm.

  • Username: elk_user
  • Password: forensics

When you boot up the VM, you will get a screen similar to below:

SOF-ELK Bootup

Open Kibana in a web browser according to the URL displayed. For example: http://172.16.62.130:5601/

Note: it may take a while for Kibana to load.

You should see a webpage as follows:

SOF-ELK Kibana

Import the CSV results

Click the sidebar icon in top-lefthand corner and open Integrations.

Integrations

Type in csv in the search bar and click Import a file.

CSV Upload

After uploading the CSV file, click Override settings to specify the correct timestamp format.

Override Settings

Perform the following changes and then click Apply: 1. Change Timestamp format to custom. 2. Specify the format as yyyy-MM-dd HH:mm:ss.SSS XXX 3. Change the Time field to Timestamp.

Override Settings Config

Now click Import in the bottom left-hand corner.

CSV Import

Click on Advanced and perform the following settings: 1. Title the Index name as evtxlogs-hayabusa. 2. Under Index settings, add , "number_of_replicas": 0 so that the index health status does not turn yellow. 3. Under Mappings, change the RuleTitle type of text to keyword so that we can do statistics on the rule titles. 4. Under Ingest pipeline, add , "field": "Timestamp" under the remove section. Timestamps will be displayed as @timestamp so this duplicate field is not needed.

Settings should look similar to below:

Import Data Settings

After importing, you should receive something similar to below:

Import Finish

You can now click View index in Discover to view the results.

Analyzing results

The default Discover view should look similar to this:

Discover View

Level: "critical"

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