ID | Technique | Tactic |
---|---|---|
T1136.003 | Cloud Account | Persistence |
T1136 | Create Account | Persistence |
Detection: ASL AWS UpdateLoginProfile
Description
The following analytic detects an AWS CloudTrail event where a user with permissions updates the login profile of another user. It leverages CloudTrail logs to identify instances where the user making the change is different from the user whose profile is being updated. This activity is significant because it can indicate privilege escalation attempts, where an attacker uses a compromised account to gain higher privileges. If confirmed malicious, this could allow the attacker to escalate their privileges, potentially leading to unauthorized access and control over sensitive resources within the AWS environment.
Search
1`amazon_security_lake` api.operation=UpdateLoginProfile
2| fillnull
3| 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
4| rename actor.user.uid as user, src_endpoint.ip as src_ip, cloud.region as region, http_request.user_agent as user_agent
5| `security_content_ctime(firstTime)`
6| `security_content_ctime(lastTime)`
7| `asl_aws_updateloginprofile_filter`
Data Source
Name | Platform | Sourcetype | Source |
---|---|---|---|
ASL AWS CloudTrail | 'aws:asl' |
'aws_asl' |
Macros Used
Name | Value |
---|---|
amazon_security_lake | sourcetype=aws:asl |
asl_aws_updateloginprofile_filter | search * |
asl_aws_updateloginprofile_filter
is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
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 Notable | Yes |
Rule Title | %name% |
Rule Description | %description% |
Notable Event Fields | user, dest |
Creates Risk Event | True |
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
While this search has no known false positives, it is possible that an AWS admin has legitimately created keys for another user.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
User $user$ from IP address $src_ip$ updated the login profile of another user
Risk Object | Risk Object Type | Risk Score | Threat Objects |
---|---|---|---|
user | user | 30 | 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