GitHub Repo

Pingid

Date: 2023-09-26 ID: 050d14b8-455d-43a8-9d99-9c38f8afd73c Author: Steven Dick Environment: attack_range Directory: pingid

Description

Detection of a few common MFA abuse scenarios with datasets from pindID

MITRE ATT&CK Techniques

ID Technique Tactic
T1621 Multi-Factor Authentication Request Generation Credential Access

Environment Details

Field Value
Environment attack_range
Directory pingid
Test Date 2023-09-26

Datasets

The following datasets were collected during this attack simulation:

Pingid

  • Path: /datasets/attack_techniques/T1621/pingid/pingid.log
  • Sourcetype: __json
  • Source: PINGID

Windows_pw_reset

  • Path: /datasets/attack_techniques/T1621/pingid/windows_pw_reset.log
  • Sourcetype: XmlWinEventLog
  • Source: XmlWinEventLog:Security

The following detections in our security content repository use this attack data for testing:

Detection Name Type Source MITRE ATT&CK Analytic Story
PingID New MFA Method Registered For User TTP Application T1621, T1556.006, T1098.005 Compromised User Account
PingID Multiple Failed MFA Requests For User TTP Application T1621, T1078, T1110 Compromised User Account
PingID New MFA Method After Credential Reset TTP Application T1621, T1556.006, T1098.005 Compromised User Account, Scattered Lapsus$ Hunters
PingID Mismatch Auth Source and Verification Response TTP Application T1621, T1556.006, T1098.005 Compromised User Account

Usage Instructions

Replay with Splunk Attack Data

Replay attack data with replay.py from Splunk Attack Data.

1python replay.py --dataset /datasets/attack_techniques/T1621/pingid/pingid.log --index attack_data

Manual Import

  1. Download the dataset files from the paths listed above
  2. Configure your Splunk instance with the appropriate sourcetypes
  3. Import the logs using the Splunk Add Data wizard

Related Content

Find more detections and analytics for this attack technique in our security content repository.

Source: GitHub | Version: 1.0