Usage Tutorial

Once everything has been installed and synced, you can view the Neo4j web interface at http://localhost:7474. You can view the reference on this here.

If you already know Neo4j and just need to know what are the nodes, attributes, and graph relationships for our representation of infrastructure assets, you can view our sample queries. More sample queries are available at https://github.com/marco-lancini/cartography-queries.

Otherwise, read on for this handhold-y tutorial filled with examples. Suppose we wanted to find out:

What RDS instances are installed in my AWS accounts?

MATCH (aws:AWSAccount)-[r:RESOURCE]->(rds:RDSInstance)
return *
Visualization of RDS nodes and AWS nodes

In this query we asked Neo4j to find all [:RESOURCE] relationships from AWSAccounts to RDSInstances, and return the nodes and the :RESOURCE relationships.

We will do more interesting things with this result next.

ℹ️ Protip - customizing your view

You can adjust the node colors, sizes, and captions by clicking on the node type at the top of the query. For example, to change the color of an AWSAccount node, first click the “AWSAccount” icon at the top of the view to select the node type

selecting an AWSAccount node

and then pick options on the menu that shows up at the bottom of the view like this:

customizations

Which RDS instances have encryption turned off?

MATCH (a:AWSAccount)-[:RESOURCE]->(rds:RDSInstance{storage_encrypted:false})
RETURN a.name, rds.id
Unencrypted RDS instances

The results show up in a table because we specified attributes like a.name and rds.id in our return statement (as opposed to having it return *). We used the “{}” notation to have the query only return RDSInstances where storage_encrypted is set to False.

If you want to go back to viewing the graph and not a table, simply make sure you don’t have any attributes in your return statement – use return * to return all nodes decorated with a variable label in your MATCH statement, or just return the specific nodes and relationships that you want.

Let’s look at some other AWS assets now.

Which EC2 instances are directly exposed to the internet?

MATCH (instance:EC2Instance{exposed_internet: true})
RETURN instance.instanceid, instance.publicdnsname
EC2 instances open to the internet

These instances are open to the internet either through permissive inbound IP permissions defined on their EC2SecurityGroups or their NetworkInterfaces.

If you know a lot about AWS, you may have noticed that EC2 instances don’t actually have an exposed_internet field. We’re able to query for this because Cartography performs some data enrichment to add this field to EC2Instance nodes.

Which S3 buckets have a policy granting any level of anonymous access to the bucket?

MATCH (s:S3Bucket)
WHERE s.anonymous_access = true
RETURN s
S3 buckets that allow anon access

These S3 buckets allow for any user to read data from them anonymously. Similar to the EC2 instance example above, S3 buckets returned by the S3 API don’t actually have an anonymous_access field and this field is added by one of Cartography’s data augmentation steps.

A couple of other things to notice: instead of using the “{}” notation to filter for anonymous buckets, we can use SQL-style WHERE clauses. Also, we used the SQL-style AS operator to relabel our output header rows.

How many unencrypted RDS instances do I have in all my AWS accounts?

Let’s go back to analyzing RDS instances. In an earlier example we queried for RDS instances that have encryption turned off. We can aggregate this data by AWSAccount with a small change:

MATCH (a:AWSAccount)-[:RESOURCE]->(rds:RDSInstance)
WHERE rds.storage_encrypted = false
RETURN a.name as AWSAccount, count(rds) as UnencryptedInstances
Table of unencrypted RDS instances by AWS account

Given a node label, what other node labels can be connected to it?

Suppose we wanted to know what other assets can be connected to a DNSRecord. We would ask the graph like this:

match (d:DNSRecord)--(n)
return distinct labels(n);

This says “what are the possible labels for all nodes connected to all DNSRecord nodes d in my graph?” Your answer might look like this:

["AWSDNSRecord", "DNSRecord"]
["AWSDNSZone", "DNSZone"]
["LoadBalancerV2"]
["NameServer"]
["ESDomain"]
["LoadBalancer"]
["EC2Instance", "Instance"]

You can then make the path more specific like this:

match (d:DNSRecord)--(:EC2Instance)--(n)
return distinct labels(n);

And then you can continue building your query.

We also include full schema docs, but this way of building a query can be faster and more interactive.

Given a node label, what are the possible property names defined on it?

We can find what properties are available on an S3Bucket like this:

match (n:S3Bucket) return properties(n) limit 1;

The result will look like this:

{
  "bucket_key_enabled": false,
  "creationdate": "2022-05-10 00:22:52+00:00",
  "ignore_public_acls": true,
  "anonymous_access": false,
  "firstseen": 1652400141863,
  "block_public_policy": true,
  "versioning_status": "Enabled",
  "block_public_acls": true,
  "anonymous_actions": [],
  "name": "my-fake-bucket-123",
  "lastupdated": 1688605272,
  "encryption_algorithm": "AES256",
  "default_encryption": true,
  "id": "my-fake-bucket-123",
  "arn": "arn:aws:s3:::my-fake-bucket-123",
  "restrict_public_buckets": false
}

Our full schema docs describe all possible fields, but listing out properties this way lets you avoid switching between browser tabs.

Learning more

If you want to learn more in depth about Neo4j and Cypher queries you can look at this tutorial and see this reference card.

Data Enrichment

Cartography adds custom attributes to nodes and relationships to point out security-related items of interest. Data augmentation jobs meant to apply to the whole graph and run at the end of a sync are stored in cartography/data/jobs/analysis. Here is a summary of all of Cartography’s custom attributes.

  • exposed_internet indicates whether the asset is accessible to the public internet.

    • Elastic Load Balancers: The exposed_internet flag is set to True when the load balancer’s scheme field is set to internet-facing, and the load balancer has an attached source security group with rules allowing 0.0.0.0/0 ingress on ports or port ranges matching listeners on the load balancer. This scheme indicates that the load balancer has a public DNS name that resolves to a public IP address.

    • Application Load Balancers: The exposed_internet flag is set to True when the load balancer’s scheme field is set to internet-facing, and the load balancer has an attached security group with rules allowing 0.0.0.0/0 ingress on ports or port ranges matching listeners on the load balancer. This scheme indicates that the load balancer has a public DNS name that resolves to a public IP address.

    • EC2 instances: The exposed_internet flag on an EC2 instance is set to True when any of following apply:

      • The instance is part of an EC2 security group or is connected to a network interface connected to an EC2 security group that allows connectivity from the 0.0.0.0/0 subnet.

      • The instance is connected to an Elastic Load Balancer that has its own exposed_internet flag set to True.

      • The instance is connected to a TargetGroup which is attached to a Listener on an Application Load Balancer (elbv2) that has its own exposed_internet flag set to True.

    • ElasticSearch domain: exposed_internet is set to True if the ElasticSearch domain has a policy applied to it that makes it internet-accessible. This policy determination is made by using the policyuniverse library. The code for this augmentation is implemented at cartography.intel.aws.elasticsearch._process_access_policy().

  • anonymous_access indicates whether the asset allows access without needing to specify an identity.

Extending Cartography with Analysis Jobs

You can add your own custom attributes and relationships without writing Python code! Here’s how.

Mapping AWS Access Permissions

Cartography can map permissions between IAM Principals and resources in the graph. Here’s how.

Permalinking Bookmarklet

You can set up a bookmarklet that lets you quickly get a permalink to a Cartography query. To do so, add a bookmark with the following contents as the URL - make sure to replace neo4j.contoso.com:7474 with your instance of Neo4j:

javascript:(() => { const query = document.querySelectorAll('article label span')[0].innerText; if (query === ':server connect') { console.log('no query has been run!'); return; } const searchParams = new URLSearchParams(); searchParams.append('connectURL', 'bolt://neo4j:neo4j@neo4j.contoso.net:7687'); searchParams.append('cmd', 'edit'); searchParams.append('arg', query.replaceAll(/\r /g, '\r')); newURL = `http://neo4j.contoso.net:7474/browser/?${searchParams}`; window.open(newURL, '_blank', 'noopener'); })()

Then, any time you are in the web interface, you can click the bookmarklet to open a new tab with a permalink to your most recently executed query in the URL bar.