GCP Successful Single-Factor Authentication
Description
The following analytic identifies a successful single-factor authentication event against Google Cloud Platform (GCP) for an account without Multi-Factor Authentication (MFA) enabled. It uses Google Workspace login event data to detect instances where MFA is not utilized. This activity is significant as it may indicate a misconfiguration, policy violation, or potential account takeover attempt. If confirmed malicious, an attacker could gain unauthorized access to GCP resources, potentially leading to data breaches, service disruptions, or further exploitation within the cloud environment.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-25
- Author: Bhavin Patel, Mauricio Velazco, Splunk
- ID: 40e17d88-87da-414e-b253-8dc1e4f9555b
Annotations
ATT&CK
Kill Chain Phase
- Weaponization
- Exploitation
- Installation
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`gws_reports_login` event.name=login_success NOT `gws_login_mfa_methods`
| stats count min(_time) as firstTime max(_time) as lastTime by user, src_ip, login_challenge_method, app, event.name, vendor_account, action
|`security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `gcp_successful_single_factor_authentication_filter`
Macros
The SPL above uses the following Macros:
gcp_successful_single-factor_authentication_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
- event.name
- event.parameters{}.multiValue{}
- user
- src_ip
- login_challenge_method
How To Implement
You must install the latest version of Splunk Add-on for Google Workspace from Splunkbase (https://splunkbase.splunk.com/app/5556) which allows Splunk administrators to collect Google Workspace event data in Splunk using Google Workspace APIs. Specifically, this analytic leverages the User log events.
Known False Positives
Although not recommended, certain users may be required without multi-factor authentication. Filter as needed
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
45.0 | 50 | 90 | Successful authentication for user $user$ without MFA |
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
- https://attack.mitre.org/techniques/T1078/004/
- https://support.google.com/a/answer/175197?hl=en
- https://www.forbes.com/sites/daveywinder/2020/07/08/new-dark-web-audit-reveals-15-billion-stolen-logins-from-100000-breaches-passwords-hackers-cybercrime/?sh=69927b2a180f
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: 3