Detection rules › Splunk

AWS Successful Console Authentication From Multiple IPs

Status
production
Severity
low
Group by
_time, aws::awsRegion, aws::recipientAccountId, signature, user, vendor_product
Author
Bhavin Patel, Splunk
Source
github.com/splunk/security_content

The following analytic detects an AWS account successfully authenticating from multiple unique IP addresses within a 5-minute window. It leverages AWS CloudTrail logs, specifically monitoring ConsoleLogin events and counting distinct source IPs. This behavior is significant as it may indicate compromised credentials, potentially from a phishing attack, being used concurrently by an adversary and a legitimate user. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the AWS environment.

MITRE ATT&CK coverage

TacticTechniques
Resource DevelopmentT1586 Compromise Accounts
StealthT1535 Unused/Unsupported Cloud Regions

Rules detecting the same action

Other rules on this platform that filter on the same API call or operation.

Rule body splunk

name: AWS Successful Console Authentication From Multiple IPs
id: 395e50e1-2b87-4fa3-8632-0dfbdcbcd2cb
version: 12
creation_date: '2023-01-19'
modification_date: '2026-05-13'
author: Bhavin Patel, Splunk
status: production
type: Anomaly
description: The following analytic detects an AWS account successfully authenticating from multiple unique IP addresses within a 5-minute window. It leverages AWS CloudTrail logs, specifically monitoring `ConsoleLogin` events and counting distinct source IPs. This behavior is significant as it may indicate compromised credentials, potentially from a phishing attack, being used concurrently by an adversary and a legitimate user. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the AWS environment.
data_source:
    - AWS CloudTrail ConsoleLogin
search: |-
    `cloudtrail` eventName = ConsoleLogin
      | bin span=5m _time
      | rename user_name as user
      | stats  dc(src) as distinct_ip_count values(src) as src values(user_agent) as user_agent values(dest) as dest
        BY _time, user, signature,
           vendor_account, vendor_region, vendor_product
      | where distinct_ip_count>1
      | `security_content_ctime(firstTime)`
      | `security_content_ctime(lastTime)`
      | `aws_successful_console_authentication_from_multiple_ips_filter`
how_to_implement: You must install Splunk AWS add on and Splunk App for AWS. This search works when AWS CloudTrail events are normalized use the Authentication datamodel.
known_false_positives: A user with successful authentication events from different Ips may also represent the legitimate use of more than one device. Filter as needed and/or customize the threshold to fit your environment.
references:
    - https://rhinosecuritylabs.com/aws/mfa-phishing-on-aws/
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: User $user$ has successfully logged into the AWS Console from different IP addresses $src$ within 5 mins
threat_objects:
    - field: src
      type: ip_address
analytic_story:
    - Suspicious AWS Login Activities
    - Compromised User Account
asset_type: AWS Account
mitre_attack_id:
    - T1586
    - T1535
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/T1586.003/aws_console_login_multiple_ips/cloudtrail.json
          sourcetype: aws:cloudtrail
          source: aws_cloudtrail
      test_type: unit

Stages and Predicates

Stage 1: search

`cloudtrail` eventName = ConsoleLogin

Stage 2: bucket

| bin span=5m _time

Stage 3: rename

| rename user_name as user

Stage 4: stats

| stats  dc(src) as distinct_ip_count values(src) as src values(user_agent) as user_agent values(dest) as dest
    BY _time, user, signature,
       vendor_account, vendor_region, vendor_product

Stage 5: where

| where distinct_ip_count>1

Stage 6: search

| `security_content_ctime(firstTime)`

Stage 7: search

| `security_content_ctime(lastTime)`

Stage 8: search

| `aws_successful_console_authentication_from_multiple_ips_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.

FieldKindValues
distinct_ip_countgt
  • 1
eventNameeq
  • ConsoleLogin
sourcetypeeq
  • aws:cloudtrail