| ID | Technique | Tactic |
|---|---|---|
| T1136.003 | Cloud Account | Persistence |
Detection: AWS CreateAccessKey
Description
This hunting query identifies successful AWS IAM access key creation events where a named IAM user creates a key for a different named IAM user. Such activity may indicate persistence or privilege escalation, particularly when the target user has elevated permissions. The query compares the caller and target usernames; it does not assess the target user's permissions. Hunting queries are designed to be run manually during threat hunting activities.
Search
1`cloudtrail`
2eventName = CreateAccessKey
3
4
5| where (isnull(errorCode) OR errorCode="success")
6 AND 'userIdentity.type'="IAMUser"
7 AND isnotnull('userIdentity.userName')
8 AND isnotnull('requestParameters.userName')
9 AND 'userIdentity.userName'!='requestParameters.userName'
10
11
12| eval
13 caller_arn='userIdentity.arn',
14 caller_principal_id='userIdentity.principalId',
15 caller_user='userIdentity.userName',
16 dest=coalesce(dest,eventSource),
17 signature=coalesce(signature,eventName),
18 src=coalesce(src,sourceIPAddress),
19 target_user='requestParameters.userName',
20 user_agent=coalesce(user_agent,userAgent),
21 user_arn=coalesce(user_arn,caller_arn),
22 vendor_account=coalesce(vendor_account,recipientAccountId),
23 vendor_product=coalesce(vendor_product,"AWS"),
24 vendor_region=coalesce(vendor_region,awsRegion)
25
26
27| stats count min(_time) as firstTime
28 max(_time) as lastTime
29 values(dest) as dest
30 values(eventID) as eventIDs
31 values(signature) as signature
32 values(src) as src
33 values(user_agent) as user_agent
34 values(user_arn) as user_arn
35 values(vendor_product) as vendor_product
36 values(vendor_region) as vendor_region
37
38 by vendor_account caller_user caller_principal_id target_user
39
40
41| `security_content_ctime(firstTime)`
42
43| `security_content_ctime(lastTime)`
44
45| `aws_createaccesskey_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| AWS CloudTrail CreateAccessKey | 'aws:cloudtrail' |
'aws_cloudtrail' |
Macros Used
| Name | Value |
|---|---|
| security_content_ctime | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$) |
| aws_createaccesskey_filter | search * |
aws_createaccesskey_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 Finding (Notable) | No |
| Creates Intermediate Finding (Risk Event) | No |
Implementation
You must install splunk AWS add on and Splunk App for AWS. This search works with AWS CloudTrail logs.
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
References
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | aws_cloudtrail |
aws:cloudtrail |
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: 12