Windows Computer Account Requesting Kerberos Ticket
Description
The following analytic identifies a ComputerAccount requesting a Kerberos Ticket. typically, a user account requests a Kerberos ticket. This behavior was identified with KrbUpRelay, but additional Kerberos attacks have exhibited similar behavior.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-04-27
- Author: Michael Haag, Splunk
- ID: fb3b2bb3-75a4-4279-848a-165b42624770
Annotations
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`wineventlog_security` EventCode=4768 Account_Name="*$" src_ip!="::1"
| stats count min(_time) as firstTime max(_time) as lastTime by dest, subject, action, Supplied_Realm_Name, user, Account_Name, src_ip
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_computer_account_requesting_kerberos_ticket_filter`
Macros
The SPL above uses the following Macros:
windows_computer_account_requesting_kerberos_ticket_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
- dest
- subject
- action
- Supplied_Realm_Name
- user
- Account_Name
- src_ip
How To Implement
To successfully implement this search, you need to be ingesting Windows Security Event Logs with 4768 EventCode enabled. The Windows TA is also required.
Known False Positives
It is possible false positives will be present based on third party applications. Filtering may be needed.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
35.0 | 50 | 70 | A Computer Account requested a Kerberos ticket on $dest$, possibly indicative of Kerberos relay attack. |
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: 1