Detection rules › Sigma
Potential Access Token Abuse
Detects potential token impersonation and theft. Example, when using "DuplicateToken(Ex)" and "ImpersonateLoggedOnUser" with the "LOGON32_LOGON_NEW_CREDENTIALS flag".
Known false positives
- Anti-Virus
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Privilege Escalation | |
| Stealth |
Telemetry coverage
| Provider | Record / event type |
|---|---|
| Security-Auditing | Event ID 4624: An account was successfully logged on. |
Rule body
title: Potential Access Token Abuse
id: 02f7c9c1-1ae8-4c6a-8add-04693807f92f
status: test
description: Detects potential token impersonation and theft. Example, when using "DuplicateToken(Ex)" and "ImpersonateLoggedOnUser" with the "LOGON32_LOGON_NEW_CREDENTIALS flag".
references:
- https://www.elastic.co/fr/blog/how-attackers-abuse-access-token-manipulation
- https://www.manageengine.com/log-management/cyber-security/access-token-manipulation.html
author: Michaela Adams, Zach Mathis
date: 2022-11-06
modified: 2023-04-26
tags:
- attack.privilege-escalation
- attack.stealth
- attack.t1134.001
- stp.4u
logsource:
product: windows
service: security
detection:
selection:
EventID: 4624
LogonType: 9
LogonProcessName: 'Advapi'
AuthenticationPackageName: 'Negotiate'
ImpersonationLevel: '%%1833' # Impersonation
condition: selection
falsepositives:
- Anti-Virus
level: medium
Stages and Predicates
Stage 0: condition
selectionStage 1: selection
selection:
EventID: 4624
LogonType: 9
LogonProcessName: 'Advapi'
AuthenticationPackageName: 'Negotiate'
ImpersonationLevel: '%%1833'
Indicators
These rows show field, operator, and value matches.