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Description

The following analytic identifies an O365 account experiencing more than 20 failed authentication attempts within 5 minutes. It uses O365 Unified Audit Logs, specifically "UserLoginFailed" events, to monitor and flag accounts exceeding this threshold. This activity is significant as it may indicate a brute force attack or password guessing attempt. If confirmed malicious, an attacker could gain unauthorized access to the O365 environment, potentially compromising sensitive emails, documents, and other data. Prompt investigation and action are crucial to prevent unauthorized access and data breaches.

  • Type: TTP

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

  • Last Updated: 2024-05-16
  • Author: Mauricio Velazco, Splunk
  • ID: 31641378-2fa9-42b1-948e-25e281cb98f7

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1110 Brute Force Credential Access
T1110.001 Password Guessing Credential Access
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE 


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 `o365_management_activity` Operation=UserLoginFailed  record_type=AzureActiveDirectoryStsLogon Workload=AzureActiveDirectory 
| bucket span=5m _time 
| stats  dc(_raw) AS failed_attempts  values(src_ip) as src_ip by user, _time 
| where failed_attempts > 10 
| `o365_high_number_of_failed_authentications_for_user_filter`

Macros

The SPL above uses the following Macros:

:information_source: o365_high_number_of_failed_authentications_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
  • src_ip
  • user
  • Operation
  • record_type
  • Workload

How To Implement

You must install the Splunk Microsoft Office 365 Add-on and ingest Office 365 management activity events.

Known False Positives

Although unusual, users who have lost their passwords may trigger this detection. Filter as needed.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
35.0 50 70 User $user$ failed to authenticate more than 10 times in the span of 5 minutes.

: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: 2