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This correlation rule focuses on detecting potential threats associated with MITRE ATT&CK T1649 (Steal or Forge Authentication Certificates). The rule is designed to identify instances where 5 or more analytics related to Windows Certificate Services analytic story that are triggered within a specified time frame, which may indicate a potential attack in progress. By aggregating these analytics, security teams can swiftly respond to and investigate any suspicious activities, enhancing their ability to protect critical assets and prevent unauthorized access to sensitive information.

  • Type: Correlation
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Risk
  • Last Updated: 2023-05-01
  • Author: Michael Haag, Splunk
  • ID: 87ac670e-bbfd-44ca-b566-44e9f835518d




ID Technique Tactic
T1649 Steal or Forge Authentication Certificates Credential Access
Kill Chain Phase
  • Exploitation
  • DE.AE
  • CIS 10
| tstats `security_content_summariesonly` min(_time) as firstTime max(_time) as lastTime sum(All_Risk.calculated_risk_score) as risk_score, count(All_Risk.calculated_risk_score) as risk_event_count, values(All_Risk.annotations.mitre_attack.mitre_tactic_id) as annotations.mitre_attack.mitre_tactic_id, dc(All_Risk.annotations.mitre_attack.mitre_tactic_id) as mitre_tactic_id_count, values(All_Risk.annotations.mitre_attack.mitre_technique_id) as annotations.mitre_attack.mitre_technique_id, dc(All_Risk.annotations.mitre_attack.mitre_technique_id) as mitre_technique_id_count, values(All_Risk.tag) as tag, values(source) as source, dc(source) as source_count from datamodel=Risk.All_Risk where All_Risk.analyticstories="Windows Certificate Services" All_Risk.risk_object_type="system" by All_Risk.risk_object All_Risk.risk_object_type All_Risk.annotations.mitre_attack.mitre_tactic 
| `drop_dm_object_name(All_Risk)` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| where source_count >= 5 
| `steal_or_forge_authentication_certificates_behavior_identified_filter`


The SPL above uses the following Macros:

:information_source: steal_or_forge_authentication_certificates_behavior_identified_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.

  • All_Risk.analyticstories
  • All_Risk.risk_object_type
  • All_Risk.risk_object
  • All_Risk.annotations.mitre_attack.mitre_tactic
  • source

How To Implement

The Windows Certificate Services analytic story must have 5 or more analytics enabled. In addition, ensure data is being logged that is required. Modify the correlation as needed based on volume of noise related to the other analytics.

Known False Positives

False positives may be present based on automated tooling or system administrators. Filter as needed.

Associated Analytic Story


Risk Score Impact Confidence Message
72.0 80 90 Steal or Forge Authentication Certificates Behavior Identified on $risk_object$.

: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.


Test Dataset

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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