AWS Defense Evasion PutBucketLifecycle
Description
The following analytic detects PutBucketLifecycle
events in AWS CloudTrail logs where a user sets a lifecycle rule for an S3 bucket with an expiration period of fewer than three days. This detection leverages CloudTrail logs to identify suspicious lifecycle configurations. This activity is significant because attackers may use it to delete CloudTrail logs quickly, thereby evading detection and impairing forensic investigations. If confirmed malicious, this could allow attackers to cover their tracks, making it difficult to trace their actions and respond to the breach effectively.
- Type: Hunting
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-28
- Author: Bhavin Patel
- ID: ce1c0e2b-9303-4903-818b-0d9002fc6ea4
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.AE
CIS20
- CIS 10
CVE
Search
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`cloudtrail` eventName=PutBucketLifecycle user_type=IAMUser errorCode=success
| spath path=requestParameters{}.LifecycleConfiguration{}.Rule{}.Expiration{}.Days output=expiration_days
| spath path=requestParameters{}.bucketName output=bucket_name
| stats count min(_time) as firstTime max(_time) as lastTime by src region eventName userAgent user_arn aws_account_id expiration_days bucket_name user_type
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| where expiration_days < 3
| `aws_defense_evasion_putbucketlifecycle_filter`
Macros
The SPL above uses the following Macros:
aws_defense_evasion_putbucketlifecycle_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- _time
- eventName
- eventSource
- requestParameters.name
- userAgent
- aws_account_id
- src
- region
- requestParameters{}.LifecycleConfiguration{}.Rule{}.Expiration{}.Days
- requestParameters{}.bucketName
How To Implement
You must install Splunk AWS Add on and enable CloudTrail logs in your AWS Environment. We recommend our users to set the expiration days value according to your company's log retention policies.
Known False Positives
While this search has no known false positives, it is possible that it is a legitimate admin activity. Please consider filtering out these noisy events using userAgent, user_arn field names.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
20.0 | 50 | 40 | User $user_arn$ has created a new rule to on an S3 bucket $bucket_name$ with short expiration days |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
Test Dataset
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 | version: 2