Detection rules › Splunk
Windows AD Abnormal Object Access Activity
The following analytic identifies a statistically significant increase in access to Active Directory objects, which may indicate attacker enumeration. It leverages Windows Security Event Code 4662 to monitor and analyze access patterns, comparing them against historical averages to detect anomalies. This activity is significant for a SOC because abnormal access to AD objects can be an early indicator of reconnaissance efforts by an attacker. If confirmed malicious, this behavior could lead to unauthorized access, privilege escalation, or further compromise of the Active Directory environment.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Discovery | T1087.002 Account Discovery: Domain Account |
Event coverage
| Provider | Event | Title |
|---|---|---|
| Security-Auditing | Event ID 4662 | An operation was performed on an object. |
Rule body splunk
name: Windows AD Abnormal Object Access Activity
id: 71b289db-5f2c-4c43-8256-8bf26ae7324a
version: 10
creation_date: '2023-08-18'
modification_date: '2026-05-13'
author: Steven Dick
status: production
type: Anomaly
description: The following analytic identifies a statistically significant increase in access to Active Directory objects, which may indicate attacker enumeration. It leverages Windows Security Event Code 4662 to monitor and analyze access patterns, comparing them against historical averages to detect anomalies. This activity is significant for a SOC because abnormal access to AD objects can be an early indicator of reconnaissance efforts by an attacker. If confirmed malicious, this behavior could lead to unauthorized access, privilege escalation, or further compromise of the Active Directory environment.
data_source:
- Windows Event Log Security 4662
search: |-
`wineventlog_security` EventCode=4662
| stats min(_time) AS firstTime, max(_time) AS lastTime, dc(ObjectName) AS ObjectName_count, values(ObjectType) AS ObjectType, latest(Computer) AS dest count
BY SubjectUserName
| eventstats avg(ObjectName_count) AS average stdev(ObjectName_count) AS standarddev
| eval limit = round((average+(standarddev*3)),0), user = SubjectUserName
| where ObjectName_count > limit
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_ad_abnormal_object_access_activity_filter`
how_to_implement: Enable Audit Directory Service Access via GPO and collect event code 4662. The required SACLs need to be created for the relevant objects. Be aware Splunk filters this event by default on the Windows TA. Recommend pre-filtering any known service accounts that frequently query AD to make detection more accurate. Setting wide search window of 48~72hr may smooth out misfires.
known_false_positives: Service accounts or applications that routinely query Active Directory for information.
references:
- https://medium.com/securonix-tech-blog/detecting-ldap-enumeration-and-bloodhound-s-sharphound-collector-using-active-directory-decoys-dfc840f2f644
- https://learn.microsoft.com/en-us/windows/security/threat-protection/auditing/event-4662
- https://attack.mitre.org/tactics/TA0007/
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: The account $user$ accessed an abnormal amount ($ObjectName_count$) of [$ObjectType$] AD object(s) between $firstTime$ and $lastTime$.
analytic_story:
- Active Directory Discovery
- BlackSuit Ransomware
asset_type: Endpoint
mitre_attack_id:
- T1087.002
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1087.002/4662_ad_enum/4662_priv_events.log
source: XmlWinEventLog:Security
sourcetype: XmlWinEventLog
test_type: unit
Stages and Predicates
Stage 1: search
`wineventlog_security` EventCode=4662
Stage 2: stats
| stats min(_time) AS firstTime, max(_time) AS lastTime, dc(ObjectName) AS ObjectName_count, values(ObjectType) AS ObjectType, latest(Computer) AS dest count
BY SubjectUserName
Stage 3: eventstats
| eventstats avg(ObjectName_count) AS average stdev(ObjectName_count) AS standarddev
Stage 4: eval
| eval limit = round((average+(standarddev*3)),0), user = SubjectUserName
Stage 5: where
| where ObjectName_count > limit
Stage 6: search
| `security_content_ctime(firstTime)`
Stage 7: search
| `security_content_ctime(lastTime)`
Stage 8: search
| `windows_ad_abnormal_object_access_activity_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.
| Field | Kind | Values |
|---|---|---|
EventCode | eq |
|