Windows Multiple Invalid Users Fail To Authenticate Using Kerberos
Description
The following analytic identifies a source endpoint failing to authenticate with 30 unique invalid domain users using the Kerberos protocol. This detection leverages EventCode 4768, specifically looking for failure code 0x6, indicating the user is not found in the Kerberos database. This activity 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 could lead to unauthorized access or privilege escalation within the Active Directory environment, posing a significant security risk.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-21
- Author: Mauricio Velazco, Splunk
- ID: 001266a6-9d5b-11eb-829b-acde48001122
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`wineventlog_security` EventCode=4768 TargetUserName!=*$ Status=0x6
| bucket span=5m _time
| stats dc(TargetUserName) AS unique_accounts values(TargetUserName) as user by _time, IpAddress
| where unique_accounts > 30
| `windows_multiple_invalid_users_fail_to_authenticate_using_kerberos_filter`
Macros
The SPL above uses the following Macros:
windows_multiple_invalid_users_fail_to_authenticate_using_kerberos_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
- EventCode
- Status
- TargetUserName
- IpAddress
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.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
49.0 | 70 | 70 | Potential Kerberos based password spraying attack from $IpAddress$ |
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: 3