Using Lookup Tables: 1Password UUIDs

Using Panther's Lookup Tables to translate 1Password UUIDs to friendly names

Overview

By default, 1Password logs do not contain human readable values for objects such as vaults and login credentials. Instead, each object is referenced by a Universally Unique Identifier (UUID). You can use a Lookup Table in Panther to translate the UUIDs to friendly names. We recommend using Command Line Interface (CLI), but it is also possible to use the API.

In the following example, we extracted a list of 1Password items and their associated UUIDs via CLI, then created a Lookup Table to translate the UUIDs into their human-readable friendly names.

Prerequisites

• An existing 1Password log source with data being ingested to your Panther account

• The Command Line utility jq installed

• The 1Password command-line tool is installed

Obtaining a list of 1Password items with their associated UUIDs

1. Log in to 1Password via CLI.

2. Use the following function to extract a list of 1Password items including their associated UUIDs and save it to a JSON file called 1password_lookup.json: op item list --format json | jq -c '.[] | {uuid:.id,title:.title,updatedAt:.updatedat}' >> 1passwordlookup.json

   Or, if you're using the 1Password CLI v1, use the following command:

   • op list items | jq -c '.[] | {uuid:.uuid,title:.overview.title,updatedAt:.updatedAt}' >> 1password_lookup.json

Note that you will need to create a schema using this 1password_lookup.json in a later step.

For more information on creating a schema, see Custom Logs.

Creating a Lookup Table in Panther

1. Log in to your Panther Console. In the left-hand navigation, click Configure > Lookup Tables.

2. In the upper right, click Create New.

3. On the Lookup Table Basic Information page, add a Lookup Name, and optionally a description and reference.

   • In this example, the Lookup Name is “1Password Translation” and the Description is “Translates 1Password UUIDs to human readable names.”

   • The Reference field is generally used to store a hyperlink to a related internal resource.

4. Click Continue.

5. On the Associated Log Types page, select the Log Type OnePassword.ItemUsage. Under Selectors, add item_uuid.
6. Click Continue.

7. On the Table Schema page, add the schema you created based on your 1Password JSON file. For the Primary Key Name, select uuid.

   • If you have not created a schema yet, please follow the documentation here to create one before moving on to the next step: Generating a Schema for a Custom Log Type from Sample Logs.

8. Click Continue.

9. On the Import Data page, click Select file then select the OnePasswordItems JSON file.

10. Click Finish Setup to go back to the list of Lookup Tables.

Now that you've created a Lookup Table, you can write detections based on the additional context from your Lookup Table. We will cover writing detections using these new values in the following sections.

Writing a detection

Obtaining data for a detection

1. Log in to your Panther account, and in the left-side navigation, click Investigate > Data Explorer.

2. Write a new query to extract the first 10 lines of your OnePassword items: select * from your_company_logs.public.onepassword_itemusage limit 10

3. In the "Results" table at the bottom of the page, click View JSON next to one of the records.

4. Copy the JSON text to your clipboard.

In the example below, we are writing a detection based on the name given to a specific set of login credentials from a 1Password vault. In this case, the login name in 1Password is labeled “Sensitive Password.”

Writing the detection

1. In the left-side navigation of your Panther account, click Build > Detections.

2. In the upper-right corner, click Create New.

3. At the top of the page, click Rule.

4. In the Log Type field, choose "OnePasswordItems."

5. Under Test, click Add New. Paste in the JSON text you copied from Data Explorer.

6. Click Enrich Test Data and verify that the title is listed as a friendly name under the p_enrichment field:
7. In the Python rule logic editor paste in the following:

   from panther_base_helpers import deep_get
   def rule(event): 
       if deep_get(event, "p_enrichment", "1Password Translation","item_uuid", "title") == "Sensitive Password": 
           return True
       return False

   • If you are using Simple Detections, in the YAML text editor, paste in the following:

     Detection:
       - Enrichment:
           Table: 1Password Translation
           Selector: item_uuid
           FieldPath: title
         Condition: Equals
         Value: Sensitive Password

8. Run tests on your new detection. When you are finished testing, click Save in the upper right side of the page.