Remote WMI ActiveScriptEventConsumers
Contents
Remote WMI ActiveScriptEventConsumers#
Hypothesis#
Adversaries might be leveraging WMI ActiveScriptEventConsumers remotely to move laterally in my network.
Technical Context#
One of the components of an Event subscription is the event consumer. It is basically the main action that gets executed when a filter triggers (i.e. monitor for authentication events. if one occurs. trigger the consumer).
According to MS Documentation, there are several WMI consumer classes available
ActiveScriptEventConsumer -> Executes a predefined script in an arbitrary scripting language when an event is delivered to it. Example -> Running a Script Based on an Event
CommandLineEventConsumer -> Launches an arbitrary process in the local system context when an event is delivered to it. Example -> Running a Program from the Command Line Based on an Event
LogFileEventConsumer -> Writes customized strings to a text log file when events are delivered to it. Example -> Writing to a Log File Based on an Event
NTEventLogEventConsumer -> Logs a specific Message to the Windows event log when an event is delivered to it. Example -> Logging to NT Event Log Based on an Event
ScriptingStandardConsumerSetting Provides registration data common to all instances of the ActiveScriptEventConsumer class.
SMTPEventConsumer Sends an email Message using SMTP each time an event is delivered to it. Example -> Sending Email Based on an Event
The ActiveScriptEventConsumer class allows for the execution of scripting code from either JScript or VBScript engines. Finally, the WMI script host process is %SystemRoot%\system32\wbem\scrcons.exe
.
Offensive Tradecraft#
Threat actors can achieve remote code execution by using WMI event subscriptions. Normally, a permanent WMI event subscription is designed to persist and respond to certain events. According to Matt Graeber, if an attacker wanted to execute a single payload however, the respective event consumer would just need to delete its corresponding event filter, consumer, and filter to consumer binding. The advantage of this technique is that the payload runs as SYSTEM, and it avoids having a payload be displayed in plaintext in the presence of command line auditing.
Pre-Recorded Security Datasets#
Metadata |
Value |
---|---|
docs |
https://securitydatasets.com/notebooks/atomic/windows/lateral_movement/SDWIN-200724174200.html |
link |
Download Dataset#
import requests
from zipfile import ZipFile
from io import BytesIO
url = 'https://raw.githubusercontent.com/OTRF/Security-Datasets/master/datasets/atomic/windows/lateral_movement/host/covenant_wmi_remote_event_subscription_ActiveScriptEventConsumers.zip'
zipFileRequest = requests.get(url)
zipFile = ZipFile(BytesIO(zipFileRequest.content))
datasetJSONPath = zipFile.extract(zipFile.namelist()[0])
Read Dataset#
import pandas as pd
from pandas.io import json
df = json.read_json(path_or_buf=datasetJSONPath, lines=True)
Analytics#
A few initial ideas to explore your data and validate your detection logic:
Analytic I#
Look for the creation of Event consumers of script type.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
WMI object |
Microsoft-Windows-Sysmon/Operational |
User created Wmi consumer |
20 |
Logic#
SELECT EventID, EventType
FROM dataTable
WHERE Channel = 'Microsoft-Windows-Sysmon/Operational'
AND EventID = 20
AND LOWER(Message) Like '%type: script%'
Pandas Query#
(
df[['@timestamp','Hostname','EventID','EventType','Message']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 20)
& (df['Message'].str.lower().str.contains('.*type: script.*', regex=True))
]
)
Analytic II#
Look for the creation of Event consumers of script type (i.e vbscript).
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
WMI object |
Microsoft-Windows-WMI-Activity/Operational |
Wmi subscription created |
5861 |
Logic#
SELECT EventID, SourceName
FROM dataTable
WHERE Channel = 'Microsoft-Windows-WMI-Activity/Operational'
AND EventID = 5861
AND LOWER(Message) LIKE '%scriptingengine = "vbscript"%'
Pandas Query#
(
df[['@timestamp','Hostname','EventID','SourceName','Message']]
[(df['Channel'] == 'Microsoft-Windows-WMI-Activity/Operational')
& (df['EventID'] == 5861)
& (df['Message'].str.lower().str.contains('.*scriptingengine = "vbscript".*', regex=True))
]
)
Analytic III#
Look for any indicators that the WMI script host process %SystemRoot%\system32\wbem\scrcons.exe
is created. This is created by svchost.exe.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Process |
Microsoft-Windows-Sysmon/Operational |
Process created Process |
1 |
Logic#
SELECT ParentImage, Image, CommandLine, ProcessId, ProcessGuid
FROM dataTable
WHERE Channel = "Microsoft-Windows-Sysmon/Operational"
AND EventID = 1
AND Image LIKE '%scrcons%'
Pandas Query#
(
df[['@timestamp','Hostname','ParentImage','Image','CommandLine','ProcessId','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 1)
& (df['Image'].str.lower().str.contains('.*scrcons.*', regex=True))
]
)
Analytic IV#
Look for any indicators that the WMI script host process %SystemRoot%\system32\wbem\scrcons.exe
is created. This is created by svchost.exe.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Process |
Microsoft-Windows-Security-Auditing |
Process created Process |
4688 |
Logic#
SELECT ParentProcessName, NewProcessName, CommandLine, NewProcessId
FROM dataTable
WHERE LOWER(Channel) = "security"
AND EventID = 4688
AND NewProcessName LIKE '%scrcons%'
Pandas Query#
(
df[['@timestamp','Hostname','ParentProcessName','NewProcessName','CommandLine','NewProcessId']]
[(df['Channel'].str.lower() == 'security')
& (df['EventID'] == 4688)
& (df['NewProcessName'].str.lower().str.contains('.*scrcons.*', regex=True))
]
)
Analytic V#
Look for any indicators that the WMI script host process %SystemRoot%\system32\wbem\scrcons.exe
is being used. You can do this by looking for a few modules being loaded by a process.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Module |
Microsoft-Windows-Sysmon/Operational |
Process loaded Dll |
7 |
Logic#
SELECT Image, ImageLoaded, Description, ProcessGuid
FROM dataTable
WHERE Channel = "Microsoft-Windows-Sysmon/Operational"
AND EventID = 7
AND LOWER(ImageLoaded) IN (
'c:\\\windows\\\system32\\\wbem\\\scrcons.exe',
'c:\\\windows\\\system32\\\\vbscript.dll',
'c:\\\windows\\\system32\\\wbem\\\wbemdisp.dll',
'c:\\\windows\\\system32\\\wshom.ocx',
'c:\\\windows\\\system32\\\scrrun.dll'
)
Pandas Query#
(
df[['@timestamp','Hostname','Image','ImageLoaded','Description','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 7)
& (df['ImageLoaded'].str.lower().isin(['c:\\windows\\system32\\wbem\\scrcons.exe',
'c:\\windows\\system32\\\vbscript.dll',
'c:\\windows\\system32\\wbem\\\wbemdisp.dll',
'c:\\windows\\system32\\wshom.ocx',
'c:\\windows\\system32\\scrrun.dll'
]))
]
)
Analytic VI#
Look for any indicators that the WMI script host process %SystemRoot%\system32\wbem\scrcons.exe
is being used and add some context to it that might not be normal in your environment. You can add network connections context to look for any scrcons.exe reaching out to external hosts over the network.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Process |
Microsoft-Windows-Sysmon/Operational |
Process created Process |
1 |
Process |
Microsoft-Windows-Sysmon/Operational |
Process connected to Ip |
3 |
Module |
Microsoft-Windows-Sysmon/Operational |
Process loaded Dll |
7 |
Logic#
SELECT d.`@timestamp`, c.Image, d.DestinationIp, d.ProcessId
FROM dataTable d
INNER JOIN (
SELECT b.ImageLoaded, a.CommandLine, b.ProcessGuid, a.Image
FROM dataTable b
INNER JOIN (
SELECT ProcessGuid, CommandLine, Image
FROM dataTable
WHERE Channel = "Microsoft-Windows-Sysmon/Operational"
AND EventID = 1
AND Image LIKE '%scrcons.exe'
) a
ON b.ProcessGuid = a.ProcessGuid
WHERE b.Channel = "Microsoft-Windows-Sysmon/Operational"
AND b.EventID = 7
AND LOWER(b.ImageLoaded) IN (
'c:\\\windows\\\system32\\\wbem\\\scrcons.exe',
'c:\\\windows\\\system32\\\\vbscript.dll',
'c:\\\windows\\\system32\\\wbem\\\wbemdisp.dll',
'c:\\\windows\\\system32\\\wshom.ocx',
'c:\\\windows\\\system32\\\scrrun.dll'
)
) c
ON d.ProcessGuid = c.ProcessGuid
WHERE d.Channel = "Microsoft-Windows-Sysmon/Operational"
AND d.EventID = 3
Pandas Query#
imageLoadDf = (
df[['@timestamp','Hostname','Image','ImageLoaded','Description','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 7)
& (df['ImageLoaded'].str.lower().isin(['c:\\windows\\system32\\wbem\\scrcons.exe',
'c:\\windows\\system32\\\vbscript.dll',
'c:\\windows\\system32\\wbem\\\wbemdisp.dll',
'c:\\windows\\system32\\wshom.ocx',
'c:\\windows\\system32\\scrrun.dll'
]))
]
)
processCreateDf = (
df[['@timestamp','Hostname','ParentImage','Image','CommandLine','ProcessId','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 1)
& (df['Image'].str.lower().str.contains('.*scrcons.*', regex=True))
]
)
firstJoinDf = (
pd.merge(imageLoadDf, processCreateDf,
on = 'ProcessGuid', how = 'inner')
)
networkConnectionDf = (
df[['@timestamp','Hostname','Image','DestinationIp','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 3)
]
)
(
pd.merge(firstJoinDf, networkConnectionDf,
on = 'ProcessGuid', how = 'inner')
)
Analytic VII#
One of the main goals is to find context that could tell us that scrcons.exe
was used over the network (Lateral Movement). One way would be to add a network logon session as context to some of the previous events.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Process |
Microsoft-Windows-Sysmon/Operational |
Process created Process |
1 |
Module |
Microsoft-Windows-Sysmon/Operational |
Process loaded Dll |
7 |
Authentication log |
Microsoft-Windows-Security-Auditing |
User authenticated Host |
4624 |
Logic#
SELECT d.`@timestamp`, d.TargetUserName, c.Image, c.ProcessId
FROM dataTable d
INNER JOIN (
SELECT b.ImageLoaded, a.CommandLine, b.ProcessGuid, a.Image, b.ProcessId
FROM dataTable b
INNER JOIN (
SELECT ProcessGuid, CommandLine, Image
FROM dataTable
WHERE Channel = "Microsoft-Windows-Sysmon/Operational"
AND EventID = 1
AND Image LIKE '%scrcons.exe'
) a
ON b.ProcessGuid = a.ProcessGuid
WHERE b.Channel = "Microsoft-Windows-Sysmon/Operational"
AND b.EventID = 7
AND LOWER(b.ImageLoaded) IN (
'c:\\\windows\\\system32\\\wbem\\\scrcons.exe',
'c:\\\windows\\\system32\\\\vbscript.dll',
'c:\\\windows\\\system32\\\wbem\\\wbemdisp.dll',
'c:\\\windows\\\system32\\\wshom.ocx',
'c:\\\windows\\\system32\\\scrrun.dll'
)
) c
ON split(d.ProcessId, '0x')[1] = LOWER(hex(CAST(c.ProcessId as INT)))
WHERE LOWER(d.Channel) = "security"
AND d.EventID = 4624
AND d.LogonType = 3
Pandas Query#
processCreateDf = (
df[['@timestamp','Hostname','ParentImage','Image','CommandLine','ProcessId','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 1)
& (df['Image'].str.lower().str.contains('.*scrcons.*', regex=True))
]
)
imageLoadDf = (
df[['@timestamp','Hostname','Image','ImageLoaded','Description','ProcessGuid']]
[(df['Channel'] == 'Microsoft-Windows-Sysmon/Operational')
& (df['EventID'] == 7)
& (df['ImageLoaded'].str.lower().isin(['c:\\windows\\system32\\wbem\\scrcons.exe',
'c:\\windows\\system32\\\vbscript.dll',
'c:\\windows\\system32\\wbem\\\wbemdisp.dll',
'c:\\windows\\system32\\wshom.ocx',
'c:\\windows\\system32\\scrrun.dll'
]))
]
)
firstJoinDf = (
pd.merge(processCreateDf, imageLoadDf,
on = 'ProcessGuid', how = 'inner')
)
firstJoinDf['ProcessId'] = firstJoinDf['ProcessId'].apply(int).apply( hex )
networkLogonDf = (
df[['@timestamp','Hostname','TargetUserName','TargetLogonId','IpAddress','ProcessId']]
[(df['Channel'].str.lower() == 'security')
& (df['EventID'] == 4624)
& (df['LogonType'] == 3)
]
)
(
pd.merge(firstJoinDf, networkLogonDf,
on = 'ProcessId', how = 'inner')
)
Analytic VIII#
One of the main goals is to find context that could tell us that scrcons.exe was used over the network (Lateral Movement). One way would be to add a network logon session as context to some of the previous events.
Data source |
Event Provider |
Relationship |
Event |
---|---|---|---|
Authentication log |
Microsoft-Windows-Security-Auditing |
User authenticated Host |
4624 |
Logic#
SELECT `@timestamp`, TargetUserName,ImpersonationLevel, LogonType, ProcessName
FROM dataTable
WHERE LOWER(Channel) = "security"
AND EventID = 4624
AND LogonType = 3
AND ProcessName LIKE '%scrcons.exe'
Pandas Query#
(
df[['@timestamp','Hostname','TargetUserName','ImpersonationLevel','LogonType','ProcessName']]
[(df['Channel'].str.lower() == 'security')
& (df['EventID'] == 4624)
& (df['LogonType'] == 3)
& (df['ProcessName'].str.lower().str.endswith('scrcons.exe', na=False))
]
)
Known Bypasses#
False Positives#
Hunter Notes#
Baseline your environment to identify normal activity. Apparently, SCCM leverages WMI event subscriptions.
Hunt Output#
Type |
Link |
---|---|
Sigma Rule |
References#
https://www.fireeye.com/content/dam/fireeye-www/services/pdfs/sans-dfir-2015.pdf
https://docs.microsoft.com/en-us/windows/win32/wmisdk/scriptingstandardconsumersetting
https://docs.microsoft.com/en-us/windows/win32/wmisdk/standard-consumer-classes
https://docs.microsoft.com/en-us/windows/win32/wmisdk/running-a-script-based-on-an-event