Detection rules › Splunk
ASL AWS Create Access Key
The following analytic identifies the creation of AWS IAM access keys by a user for another user, which can indicate privilege escalation. It leverages AWS CloudTrail logs to detect instances where the user creating the access key is different from the user for whom the key is created. This activity is significant because unauthorized access key creation can allow attackers to establish persistence or exfiltrate data via AWS APIs. If confirmed malicious, this could lead to unauthorized access to AWS services, data exfiltration, and long-term persistence in the environment.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Persistence | T1136.003 Create Account: Cloud Account |
Rules detecting the same action
Other rules on this platform that filter on the same API call or operation.
- AWS CreateAccessKey (Splunk)
- AWS Lateral Movement from Kubernetes SA via AssumeRoleWithWebIdentity (Elastic)
- AWSCloudTrail - Creation of Access Key for IAM User (Kusto)
- New IAM Credentials Updated (Panther)
- Root Account Access Key Created (Panther)
- User impersonation by Identity Protection alerts (Kusto)
Rule body splunk
name: ASL AWS Create Access Key
id: 81a9f2fe-1697-473c-af1d-086b0d8b63c8
version: 7
creation_date: '2021-03-02'
modification_date: '2026-05-13'
author: Patrick Bareiss, Splunk
status: production
type: Hunting
description: The following analytic identifies the creation of AWS IAM access keys by a user for another user, which can indicate privilege escalation. It leverages AWS CloudTrail logs to detect instances where the user creating the access key is different from the user for whom the key is created. This activity is significant because unauthorized access key creation can allow attackers to establish persistence or exfiltrate data via AWS APIs. If confirmed malicious, this could lead to unauthorized access to AWS services, data exfiltration, and long-term persistence in the environment.
data_source:
- ASL AWS CloudTrail
search: |-
`amazon_security_lake` api.operation=CreateAccessKey
| fillnull
| stats count min(_time) as firstTime max(_time) as lastTime
BY actor.user.uid api.operation api.service.name
http_request.user_agent src_endpoint.ip actor.user.account.uid
cloud.provider cloud.region
| rename actor.user.uid as user api.operation as action api.service.name as dest http_request.user_agent as user_agent src_endpoint.ip as src actor.user.account.uid as vendor_account cloud.provider as vendor_product cloud.region as vendor_region
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `asl_aws_create_access_key_filter`
how_to_implement: 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.
references:
- https://bishopfox.com/blog/privilege-escalation-in-aws
- https://rhinosecuritylabs.com/aws/aws-privilege-escalation-methods-mitigation-part-2/
analytic_story:
- AWS IAM Privilege Escalation
- Scattered Lapsus$ Hunters
asset_type: AWS Account
mitre_attack_id:
- T1136.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: cloud
security_domain: network
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1078/aws_createaccesskey/asl_ocsf_cloudtrail.json
sourcetype: aws:asl
source: aws_asl
test_type: unit
Stages and Predicates
Stage 1: search
`amazon_security_lake` api.operation=CreateAccessKey
Stage 2: fillnull
| fillnull
Stage 3: stats
| stats count min(_time) as firstTime max(_time) as lastTime
BY actor.user.uid api.operation api.service.name
http_request.user_agent src_endpoint.ip actor.user.account.uid
cloud.provider cloud.region
Stage 4: rename
| rename actor.user.uid as user api.operation as action api.service.name as dest http_request.user_agent as user_agent src_endpoint.ip as src actor.user.account.uid as vendor_account cloud.provider as vendor_product cloud.region as vendor_region
Stage 5: search
| `security_content_ctime(firstTime)`
Stage 6: search
| `security_content_ctime(lastTime)`
Stage 7: search
| `asl_aws_create_access_key_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
api.operation | eq |
|
sourcetype | eq |
|