GitHub Repo

O365 Excessive Sso Logon Errors

Date: 2021-01-26 ID: cc9b263d-efc9-11eb-926b-550bf0943fbb Author: Rod Soto Environment: attack_range Directory: o365_excessive_sso_logon_errors

Description

This search detects accounts with high number of Single Sign ON (SSO) logon errors. Excessive logon errors may indicate attempts to bruteforce of password or single sign on token hijack or reuse.

MITRE ATT&CK Techniques

ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Initial Access, Persistence, Privilege Escalation

Environment Details

Field Value
Environment attack_range
Directory o365_excessive_sso_logon_errors
Test Date 2021-01-26

Datasets

The following datasets were collected during this attack simulation:

O365_excessive_sso_logon_errors-Json

  • Path: /datasets/attack_techniques/T1078/o365_excessive_sso_logon_errors/o365_excessive_sso_logon_errors.json
  • Sourcetype: o365:management:activity
  • Source: o365

No specific detections currently use this attack data for testing. However, you can find related detections and analytics in our security content repository.

Usage Instructions

Replay with Splunk Attack Data

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

1python replay.py --dataset /datasets/attack_techniques/T1078/o365_excessive_sso_logon_errors/o365_excessive_sso_logon_errors.json --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