Detection: Detect AWS API Activities From Unapproved Accounts

DEPRECATED DETECTION

This detection has been marked as deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported. If you have any questions or concerns, please reach out to us at research@splunk.com.

Description

This search looks for successful AWS CloudTrail activity by user accounts that are not listed in the identity table or aws_service_accounts.csv. It returns event names and count, as well as the first and last time a specific user or service is detected, grouped by users. Deprecated because managing this list can be quite hard.

 1`cloudtrail` errorCode=success 
 2| rename userName as identity 
 3| search NOT [
 4| inputlookup identity_lookup_expanded 
 5| fields identity] 
 6| search NOT [
 7| inputlookup aws_service_accounts 
 8| fields identity] 
 9| rename identity as user 
10| stats count min(_time) as firstTime max(_time) as lastTime values(eventName) as eventName by user 
11| `security_content_ctime(firstTime)` 
12| `security_content_ctime(lastTime)` 
13| `detect_aws_api_activities_from_unapproved_accounts_filter`

Data Source

No data sources specified for this detection.

Macros Used

Name Value
cloudtrail sourcetype=aws:cloudtrail
detect_aws_api_activities_from_unapproved_accounts_filter search *
detect_aws_api_activities_from_unapproved_accounts_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1078.004 Cloud Accounts Defense Evasion
KillChainPhase.DELIVERY
KillChainPhase.EXPLOITAITON
KillChainPhase.INSTALLATION
NistCategory.DE_AE
Cis18Value.CIS_10
APT28
APT29
APT33
APT5
Ke3chang
LAPSUS$

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Risk Event False
This configuration file applies to all detections of type hunting.

Implementation

You must install the AWS App for Splunk (version 5.1.0 or later) and Splunk Add-on for AWS (version 4.4.0 or later), then configure your AWS CloudTrail inputs. You must also populate the identity_lookup_expanded lookup shipped with the Asset and Identity framework to be able to look up users in your identity table in Enterprise Security (ES). Leverage the support search called "Create a list of approved AWS service accounts": run it once every 30 days to create and validate a list of service accounts. This search produces fields (eventName,firstTime,lastTime) that are not yet supported by ES Incident Review and therefore cannot be viewed when a notable event is raised. These fields contribute additional context to the notable. To see the additional metadata, add the following fields, if not already present, to Incident Review - Event Attributes (Configure > Incident Management > Incident Review Settings > Add New Entry):

  • Label: AWS Event Name, Field: eventName
  • Label: First Time, Field: firstTime
  • Label: Last Time, Field: lastTime Detailed documentation on how to create a new field within Incident Review may be found here: https://docs.splunk.com/Documentation/ES/5.3.0/Admin/Customizenotables#Add_a_field_to_the_notable_event_details

Known False Positives

It's likely that you'll find activity detected by users/service accounts that are not listed in the identity_lookup_expanded or aws_service_accounts.csv file. If the user is a legitimate service account, update the aws_service_accounts.csv table with that entry.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
tbd 25 50 50
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Not Applicable N/A N/A N/A
Unit ❌ Failing N/A N/A N/A
Integration ❌ Failing N/A N/A N/A

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range


Source: GitHub | Version: 4