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Description

The following analytic identifies the registration of a new Multi Factor authentication method for a PingID (PingOne) account. Adversaries who have obtained unauthorized access to a user account may register a new MFA method to maintain persistence.

  • Type: TTP

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2023-09-26
  • Author: Steven Dick
  • ID: 892dfeaf-461d-4a78-aac8-b07e185c9bce

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1621 Multi-Factor Authentication Request Generation Credential Access
T1556.006 Multi-Factor Authentication Credential Access, Defense Evasion, Persistence
T1098.005 Device Registration Persistence, Privilege Escalation
Kill Chain Phase
  • Exploitation
  • Installation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE 


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`pingid` "result.message"="Device Paired*" result.status="SUCCESS"   
| rex field=result.message "Device (Unp)?(P)?aired (?<device_extract>.+)" 
| eval src = coalesce('resources{}.ipaddress','resources{}.devicemodel'), user = upper('actors{}.name'), reason = 'result.message' 
| eval object=CASE(ISNOTNULL('resources{}.devicemodel'),'resources{}.devicemodel',true(),device_extract) 
| eval action=CASE(match('result.message',"Device Paired*"),"created",match('result.message', "Device Unpaired*"),"deleted") 
| stats count min(_time) as firstTime, max(_time) as lastTime by src,user,object,action,reason 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `pingid_new_mfa_method_registered_for_user_filter`

Macros

The SPL above uses the following Macros:

:information_source: pingid_new_mfa_method_registered_for_user_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
  • resources{}.ipaddress
  • actors{}.name
  • result.message
  • resources{}.devicemodel
  • result.status

How To Implement

Target environment must ingest JSON logging from a PingID(PingOne) enterprise environment, either via Webhook or Push Subscription.

Known False Positives

False positives may be generated by normal provisioning workflows for user device registration.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
10.0 20 50 An MFA configuration change was detected for [$user$], the device [$object$] was $action$.

:information_source: 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

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: 1