Try in Splunk Security Cloud

Description

This search detects when an excessive number of authentication failures occur this search also includes attempts against MFA prompt codes

  • Type: Anomaly

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

  • Last Updated: 2022-02-18
  • Author: Rod Soto, Splunk
  • ID: d441364c-349c-453b-b55f-12eccab67cf9

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1110 Brute Force Credential Access
Kill Chain Phase
  • Exploitation
NIST
CIS20
CVE 


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`o365_management_activity` Workload=AzureActiveDirectory UserAuthenticationMethod=* status=failure 
| stats count earliest(_time) AS firstTime latest(_time) AS lastTime values(UserAuthenticationMethod) AS UserAuthenticationMethod values(UserAgent) AS UserAgent values(status) AS status values(src_ip) AS src_ip by user 
| where count > 10 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `o365_excessive_authentication_failures_alert_filter`

Macros

The SPL above uses the following Macros:

:information_source: o365_excessive_authentication_failures_alert_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
  • Workload
  • UserAuthenticationMethod
  • status
  • UserAgent
  • src_ip
  • user

How To Implement

You must install splunk Microsoft Office 365 add-on. This search works with o365:management:activity

Known False Positives

The threshold for alert is above 10 attempts and this should reduce the number of false positives.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
64.0 80 80 User $user$ has caused excessive number of authentication failures from $src_ip$ using UserAgent $UserAgent$.

: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