Detection rules › Splunk
ASL AWS Disable Bucket Versioning
The following analytic detects when AWS S3 bucket versioning is suspended by a user. It leverages AWS CloudTrail logs to identify PutBucketVersioning events with the VersioningConfiguration.Status set to Suspended. This activity is significant because disabling versioning can prevent recovery of deleted or modified data, which is a common tactic in ransomware attacks. If confirmed malicious, this action could lead to data loss and hinder recovery efforts, severely impacting data integrity and availability.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Impact | T1490 Inhibit System Recovery |
Rules detecting the same action
Other rules on this platform that filter on the same API call or operation.
- AWS Disable Bucket Versioning (Splunk)
Rule body splunk
name: ASL AWS Disable Bucket Versioning
id: f32598bb-fa5f-4afd-8ab3-0263cc28efbc
version: 7
creation_date: '2022-10-04'
modification_date: '2026-05-13'
author: Patrick Bareiss, Splunk
status: production
type: Anomaly
description: The following analytic detects when AWS S3 bucket versioning is suspended by a user. It leverages AWS CloudTrail logs to identify `PutBucketVersioning` events with the `VersioningConfiguration.Status` set to `Suspended`. This activity is significant because disabling versioning can prevent recovery of deleted or modified data, which is a common tactic in ransomware attacks. If confirmed malicious, this action could lead to data loss and hinder recovery efforts, severely impacting data integrity and availability.
data_source:
- ASL AWS CloudTrail
search: |-
`amazon_security_lake` api.operation=PutBucketVersioning
| spath input=api.request.data path=VersioningConfiguration.Status output=Status
| spath input=api.request.data path=bucketName output=bucketName
| search Status=Suspended
| 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 api.request.data
bucketName
| 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_disable_bucket_versioning_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: It is possible that an AWS Administrator has legitimately disabled versioning on certain buckets to avoid costs.
references:
- https://invictus-ir.medium.com/ransomware-in-the-cloud-7f14805bbe82
- https://bleemb.medium.com/data-exfiltration-with-native-aws-s3-features-c94ae4d13436
drilldown_searches:
- name: View the detection results for - "$user$"
search: '%original_detection_search% | search user = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
intermediate_findings:
entities:
- field: user
type: user
score: 20
message: Bucket Versioning is suspended for S3 buckets- $bucketName$ by user $user$ from IP address $src$
threat_objects:
- field: src
type: ip_address
analytic_story:
- Suspicious AWS S3 Activities
- Data Exfiltration
asset_type: AWS Account
mitre_attack_id:
- T1490
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: cloud
security_domain: threat
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1490/aws_bucket_version/asl_ocsf_cloudtrail.json
sourcetype: aws:asl
source: aws_asl
test_type: unit
Stages and Predicates
Stage 1: search
`amazon_security_lake` api.operation=PutBucketVersioning
Stage 2: spath
| spath input=api.request.data path=VersioningConfiguration.Status output=Status
Stage 3: spath
| spath input=api.request.data path=bucketName output=bucketName
Stage 4: search
| search Status=Suspended
Stage 5: fillnull
| fillnull
Stage 6: 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 api.request.data
bucketName
Stage 7: 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 8: search
| `security_content_ctime(firstTime)`
Stage 9: search
| `security_content_ctime(lastTime)`
Stage 10: search
| `asl_aws_disable_bucket_versioning_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 |
|---|---|---|
Status | eq |
|
api.operation | eq |
|
sourcetype | eq |
|