Detection rules › Splunk

Windows Unusual Count Of Invalid Users Fail To Auth Using Kerberos

Status
production
Severity
low
Group by
_time, src_ip
Author
Mauricio Velazco, Splunk
Source
github.com/splunk/security_content

The following analytic identifies a source endpoint failing to authenticate with multiple invalid domain users using the Kerberos protocol. It leverages Event ID 4768, which is generated when the Key Distribution Center issues a Kerberos Ticket Granting Ticket (TGT) and detects failure code 0x6, indicating the user is not found in the Kerberos database. This behavior is significant as it may indicate a Password Spraying attack, where an adversary attempts to gain initial access or elevate privileges. If confirmed malicious, this activity could lead to unauthorized access and potential privilege escalation within the Active Directory environment.

MITRE ATT&CK coverage

TacticTechniques
Credential AccessT1110.003 Brute Force: Password Spraying

Event coverage

Rule body splunk

name: Windows Unusual Count Of Invalid Users Fail To Auth Using Kerberos
id: f122cb2e-d773-4f11-8399-62a3572d8dd7
version: 11
creation_date: '2021-04-14'
modification_date: '2026-05-13'
author: Mauricio Velazco, Splunk
status: production
type: Anomaly
description: The following analytic identifies a source endpoint failing to authenticate with multiple invalid domain users using the Kerberos protocol. It leverages Event ID 4768, which is generated when the Key Distribution Center issues a Kerberos Ticket Granting Ticket (TGT) and detects failure code 0x6, indicating the user is not found in the Kerberos database. This behavior is significant as it may indicate a Password Spraying attack, where an adversary attempts to gain initial access or elevate privileges. If confirmed malicious, this activity could lead to unauthorized access and potential privilege escalation within the Active Directory environment.
data_source:
    - Windows Event Log Security 4768
search: |-
    `wineventlog_security` EventCode=4768 TargetUserName!=*$ Status=0x6
      | bucket span=5m _time
      | stats dc(TargetUserName) AS unique_accounts values(TargetUserName) as user values(dest) as dest
        BY _time, IpAddress
      | eventstats avg(unique_accounts) as comp_avg , stdev(unique_accounts) as comp_std
        BY IpAddress
      | eval upperBound=(comp_avg+comp_std*3)
      | eval isOutlier=if(unique_accounts > 10 and unique_accounts >= upperBound, 1, 0)
      | search isOutlier=1
      | `windows_unusual_count_of_invalid_users_fail_to_auth_using_kerberos_filter`
how_to_implement: To successfully implement this search, you need to be ingesting Domain Controller and Kerberos events. The Advanced Security Audit policy setting `Audit Kerberos Authentication Service` within `Account Logon` needs to be enabled.
known_false_positives: A host failing to authenticate with multiple invalid domain users is not a common behavior for legitimate systems. Possible false positive scenarios include but are not limited to vulnerability scanners, multi-user systems and missconfigured systems.
references:
    - https://attack.mitre.org/techniques/T1110/003/
drilldown_searches:
    - name: View the detection results for - "$user$"
      search: '%original_detection_search% | search  user = "$user$"'
      earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
    - name: View risk events for the last 7 days for - "$user$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
      earliest_offset: 7d
      latest_offset: "0"
intermediate_findings:
    entities:
        - field: user
          type: user
          score: 20
          message: Potential Kerberos based password spraying attack from $IpAddress$
threat_objects:
    - field: IpAddress
      type: ip_address
analytic_story:
    - Active Directory Password Spraying
    - Active Directory Kerberos Attacks
    - Volt Typhoon
asset_type: Endpoint
mitre_attack_id:
    - T1110.003
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
    - attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1110.003/purplesharp_invalid_users_kerberos_xml/windows-security.log
          source: XmlWinEventLog:Security
          sourcetype: XmlWinEventLog
      name: True Positive Test
      test_type: unit

Stages and Predicates

Stage 1: search

`wineventlog_security` EventCode=4768 TargetUserName!=*$ Status=0x6

Stage 2: bucket

| bucket span=5m _time

Stage 3: stats

| stats dc(TargetUserName) AS unique_accounts values(TargetUserName) as user values(dest) as dest
    BY _time, IpAddress

Stage 4: eventstats

| eventstats avg(unique_accounts) as comp_avg , stdev(unique_accounts) as comp_std
    BY IpAddress

Stage 5: eval

| eval upperBound=(comp_avg+comp_std*3)

Stage 6: eval

| eval isOutlier=if(unique_accounts > 10 and unique_accounts >= upperBound, 1, 0)
isOutlier =
ifunique_accounts > 10 AND unique_accounts >= upperBound1
else0

Stage 7: search

| search isOutlier=1

Stage 8: search

| `windows_unusual_count_of_invalid_users_fail_to_auth_using_kerberos_filter`

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
EventCodeeq
  • 4768 corpus 13 (splunk 11, kusto 2)
Statuseq
  • 0x6 corpus 5 (splunk 3, sigma 2)
TargetUserNamene
  • *$ corpus 14 (splunk 14)
isOutliereq
  • 1 corpus 28 (splunk 28)