← Back to Explore
splunk_escuAnomaly
Cloud Provisioning Activity From Previously Unseen Country
The following analytic detects cloud provisioning activities originating from previously unseen countries. It leverages cloud infrastructure logs and compares the geographic location of the source IP address against a baseline of known locations. This activity is significant as it may indicate unauthorized access or potential compromise of cloud resources. If confirmed malicious, an attacker could gain control over cloud assets, leading to data breaches, service disruptions, or further infiltration into the network.
MITRE ATT&CK
Detection Query
| tstats earliest(_time) as firstTime, latest(_time) as lastTime FROM datamodel=Change
WHERE (
All_Changes.action=started
OR
All_Changes.action=created
)
All_Changes.status=success
BY All_Changes.src, All_Changes.user, All_Changes.object,
All_Changes.command
| `drop_dm_object_name("All_Changes")`
| iplocation src
| where isnotnull(Country)
| lookup previously_seen_cloud_provisioning_activity_sources Country as Country OUTPUT firstTimeSeen, enough_data
| eventstats max(enough_data) as enough_data
| where enough_data=1
| eval firstTimeSeenCountry=min(firstTimeSeen)
| where isnull(firstTimeSeenCountry) OR firstTimeSeenCountry > relative_time(now(), "-24h@h")
| `security_content_ctime(firstTime)`
| table firstTime, src, Country, user, object, command
| `cloud_provisioning_activity_from_previously_unseen_country_filter`Author
Rico Valdez, Bhavin Patel, Splunk
Created
2026-03-10
Data Sources
AWS CloudTrail
Tags
Suspicious Cloud Provisioning Activities
Raw Content
name: Cloud Provisioning Activity From Previously Unseen Country
id: 94994255-3acf-4213-9b3f-0494df03bb31
version: 7
date: '2026-03-10'
author: Rico Valdez, Bhavin Patel, Splunk
status: production
type: Anomaly
description: The following analytic detects cloud provisioning activities originating from previously unseen countries. It leverages cloud infrastructure logs and compares the geographic location of the source IP address against a baseline of known locations. This activity is significant as it may indicate unauthorized access or potential compromise of cloud resources. If confirmed malicious, an attacker could gain control over cloud assets, leading to data breaches, service disruptions, or further infiltration into the network.
data_source:
- AWS CloudTrail
search: |-
| tstats earliest(_time) as firstTime, latest(_time) as lastTime FROM datamodel=Change
WHERE (
All_Changes.action=started
OR
All_Changes.action=created
)
All_Changes.status=success
BY All_Changes.src, All_Changes.user, All_Changes.object,
All_Changes.command
| `drop_dm_object_name("All_Changes")`
| iplocation src
| where isnotnull(Country)
| lookup previously_seen_cloud_provisioning_activity_sources Country as Country OUTPUT firstTimeSeen, enough_data
| eventstats max(enough_data) as enough_data
| where enough_data=1
| eval firstTimeSeenCountry=min(firstTimeSeen)
| where isnull(firstTimeSeenCountry) OR firstTimeSeenCountry > relative_time(now(), "-24h@h")
| `security_content_ctime(firstTime)`
| table firstTime, src, Country, user, object, command
| `cloud_provisioning_activity_from_previously_unseen_country_filter`
how_to_implement: You must be ingesting your cloud infrastructure logs from your cloud provider. You should run the baseline search `Previously Seen Cloud Provisioning Activity Sources - Initial` to build the initial table of source IP address, geographic locations, and times. You must also enable the second baseline search `Previously Seen Cloud Provisioning Activity Sources - Update` to keep this table up to date and to age out old data. You can adjust the time window for this search by updating the `previously_unseen_cloud_provisioning_activity_window` macro. You can also provide additional filtering for this search by customizing the `cloud_provisioning_activity_from_previously_unseen_country_filter` macro.
known_false_positives: "This is a strictly behavioral search, so we define \"false positive\" slightly differently. Every time this fires, it will accurately reflect the first occurrence in the time period you're searching within, plus what is stored in the cache feature. But while there are really no \"false positives\" in a traditional sense, there is definitely lots of noise.\nThis search will fire any time a new IP address is seen in the **GeoIP** database for any kind of provisioning activity. If you typically do all provisioning from tools inside of your country, there should be few false positives. If you are located in countries where the free version of **MaxMind GeoIP** that ships by default with Splunk has weak resolution (particularly small countries in less economically powerful regions), this may be much less valuable to you."
references: []
drilldown_searches:
- name: View the detection results for - "$object$"
search: '%original_detection_search% | search object = "$object$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$object$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$object$") starthoursago=168 | 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: $info_min_time$
latest_offset: $info_max_time$
rba:
message: User $user$ is starting or creating an instance $object$ for the first time in Country $Country$ from IP address $src$
risk_objects:
- field: object
type: system
score: 20
- field: user
type: user
score: 20
threat_objects:
- field: src
type: ip_address
tags:
analytic_story:
- Suspicious Cloud Provisioning Activities
asset_type: AWS Instance
mitre_attack_id:
- T1078
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: threat
manual_test: This search needs the baseline to be run first to create a lookup
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/suspicious_behaviour/abnormally_high_cloud_instances_launched/cloudtrail_behavioural_detections.json
sourcetype: aws:cloudtrail
source: aws_cloudtrail