Detection rules › Splunk

ASL AWS Credential Access RDS Password reset

Status
production
Severity
medium
Group by
"actor.user.account.uid", "actor.user.uid", "api.operation", "api.request.data", "api.service.name", "cloud.provider", "cloud.region", "http_request.user_agent", "src_endpoint.ip"
Author
Patrick Bareiss, Splunk
Source
github.com/splunk/security_content

The following analytic detects the resetting of the master user password for an Amazon RDS DB instance. It leverages AWS CloudTrail logs from Amazon Security Lake to identify events where the ModifyDBInstance API call includes a new masterUserPassword parameter. This activity is significant because unauthorized password resets can grant attackers access to sensitive data stored in production databases, such as credit card information, PII, and healthcare data. If confirmed malicious, this could lead to data breaches, regulatory non-compliance, and significant reputational damage. Immediate investigation is required to determine the legitimacy of the password reset.

Known false positives

  • Users may genuinely reset the RDS password.

MITRE ATT&CK coverage

TacticTechniques
Resource Development
Credential Access

Telemetry coverage

Rules detecting the same action

These rules filter on the same operation.

Rule body

name: ASL AWS Credential Access RDS Password reset
id: d15e9bd9-ef64-4d84-bc04-f62955a9fee8
version: 9
creation_date: '2022-08-07'
modification_date: '2026-05-13'
author: Patrick Bareiss, Splunk
status: production
type: TTP
description: The following analytic detects the resetting of the master user password for an Amazon RDS DB instance. It leverages AWS CloudTrail logs from Amazon Security Lake to identify events where the `ModifyDBInstance` API call includes a new `masterUserPassword` parameter. This activity is significant because unauthorized password resets can grant attackers access to sensitive data stored in production databases, such as credit card information, PII, and healthcare data. If confirmed malicious, this could lead to data breaches, regulatory non-compliance, and significant reputational damage. Immediate investigation is required to determine the legitimacy of the password reset.
data_source:
    - ASL AWS CloudTrail
search: |-
    `amazon_security_lake` api.operation=ModifyDBInstance OR api.operation=ModifyDBCluster
      | spath input=api.request.data
      | search masterUserPassword=*
      | 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
      | 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_credential_access_rds_password_reset_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: Users may genuinely reset the RDS password.
references:
    - https://aws.amazon.com/premiumsupport/knowledge-center/reset-master-user-password-rds
finding:
    title: User $user$ is seen to reset the password for database
    entity:
        field: user
        type: user
        score: 50
threat_objects:
    - field: src
      type: ip_address
analytic_story:
    - AWS Identity and Access Management Account Takeover
    - Scattered Lapsus$ Hunters
asset_type: AWS Account
mitre_attack_id:
    - T1110
    - T1586.003
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: cloud
security_domain: threat

Stages and Predicates

Stage 1: search

`amazon_security_lake` api.operation=ModifyDBInstance OR api.operation=ModifyDBCluster

Stage 2: spath

| spath input=api.request.data

Stage 3: search

| search masterUserPassword=*

Stage 4: fillnull

| fillnull

Stage 5: 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

Stage 6: 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 7: search

| `security_content_ctime(firstTime)`

Stage 8: search

| `security_content_ctime(lastTime)`

Stage 9: search

| `asl_aws_credential_access_rds_password_reset_filter`

Indicators

These rows show field, operator, and value matches.