Detection: ASL AWS Credential Access GetPasswordData

Updated Date: 2024-12-12 ID: a79b607a-50cc-4704-bb9d-eff280cb78c2 Author: Patrick Bareiss, Splunk Type: Anomaly Product: Splunk Enterprise Security

Description

The following analytic identifiesGetPasswordData API calls in your AWS account. It leverages CloudTrail logs from Amazon Security Lake to detect this activity by counting the distinct instance IDs accessed. This behavior is significant as it may indicate an attempt to retrieve encrypted administrator passwords for running Windows instances, which is a critical security concern. If confirmed malicious, attackers could gain unauthorized access to administrative credentials, potentially leading to full control over the affected instances and further compromise of the AWS environment.

Search

1`amazon_security_lake` api.operation=GetPasswordData 
2| spath input=api.request.data 
3| fillnull 
4| stats count min(_time) as firstTime max(_time) as lastTime by api.operation actor.user.uid actor.user.account.uid http_request.user_agent src_endpoint.ip cloud.region instanceId 
5| rename actor.user.uid as user, src_endpoint.ip as src_ip, cloud.region as region, http_request.user_agent as user_agent 
6| `security_content_ctime(firstTime)` 
7| `security_content_ctime(lastTime)` 
8|`asl_aws_credential_access_getpassworddata_filter`

Data Source

Name	Platform	Sourcetype	Source
ASL AWS CloudTrail	AWS	`'aws:asl'`	`'aws_asl'`

Macros Used

Name	Value
amazon_security_lake	`sourcetype=aws:asl`
asl_aws_credential_access_getpassworddata_filter	`search *`

asl_aws_credential_access_getpassworddata_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
T1586	Compromise Accounts	Resource Development
T1586.003	Cloud Accounts	Resource Development
T1110	Brute Force	Credential Access
T1110.001	Password Guessing	Credential Access

Exploitation

Weaponization

DE.AE

CIS 10

APT29

APT28

APT38

APT39

APT41

Agrius

DarkVishnya

Dragonfly

Ember Bear

FIN5

Fox Kitten

HEXANE

OilRig

Turla

APT28

APT29

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	True

This configuration file applies to all detections of type anomaly. These detections will use Risk Based Alerting.

Implementation

The detection is based on Amazon Security Lake events from Amazon Web Services (AWS), which is a centralized data lake that provides security-related data from AWS services. To use this detection, you must ingest CloudTrail logs from Amazon Security Lake into Splunk. To run this search, ensure that you ingest events using the latest version of Splunk Add-on for Amazon Web Services (https://splunkbase.splunk.com/app/1876) or the Federated Analytics App.

Known False Positives

Administrator tooling or automated scripts may make these calls but it is highly unlikely to make several calls in a short period of time.

Associated Analytic Story

AWS Identity and Access Management Account Takeover

Risk Based Analytics (RBA)

Risk Message:

User $user$ is seen to make GetPasswordData API calls

Risk Object	Risk Object Type	Risk Score	Threat Objects
user	user	49	src_ip

References

Detection Testing

Test Type	Status	Dataset	Source	Sourcetype
Validation	✅ Passing	N/A	N/A	N/A
Unit	✅ Passing	Dataset	`aws_asl`	`aws:asl`
Integration	✅ Passing	Dataset	`aws_asl`	`aws:asl`

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: 1