ID | Technique | Tactic |
---|---|---|
T1621 | Multi-Factor Authentication Request Generation | Credential Access |
T1556.006 | Multi-Factor Authentication | Credential Access |
T1098.005 | Device Registration | Defense Evasion |
Detection: PingID New MFA Method After Credential Reset
Description
The following analytic identifies the provisioning of a new MFA device shortly after a password reset. It detects this activity by correlating Windows Event Log events for password changes (EventID 4723, 4724) with PingID logs indicating device pairing. This behavior is significant as it may indicate a social engineering attack where a threat actor impersonates a valid user to reset credentials and add a new MFA device. If confirmed malicious, this activity could allow an attacker to gain persistent access to the compromised account, bypassing traditional security measures.
Search
1`pingid` "result.message" = "*Device Paired*"
2| rex field=result.message "Device (Unp)?(P)?aired (?<device_extract>.+)"
3| eval src = coalesce('resources{}.ipaddress','resources{}.devicemodel'), user = upper('actors{}.name'), reason = 'result.message'
4| eval object=CASE(ISNOTNULL('resources{}.devicemodel'),'resources{}.devicemodel',true(),device_extract)
5| eval action=CASE(match('result.message',"Device Paired*"),"created",match('result.message', "Device Unpaired*"),"deleted")
6| stats count min(_time) as firstTime, max(_time) as lastTime, values(reason) as reason by src,user,action,object
7| join type=outer user [
8| search `wineventlog_security` EventID IN(4723,4724)
9| eval PW_Change_Time = _time, user = upper(user)
10| fields user,src_user,EventID,PW_Change_Time]
11| eval timeDiffRaw = round(lastTime - PW_Change_Time)
12| eval timeDiff = replace(tostring(abs(timeDiffRaw) ,"duration"),"(\d*)\+*(\d+):(\d+):(\d+)","\2 hours \3 minutes")
13| `security_content_ctime(firstTime)`
14| `security_content_ctime(lastTime)`
15| `security_content_ctime(PW_Change_Time)`
16| where timeDiffRaw > 0 AND timeDiffRaw < 3600
17| `pingid_new_mfa_method_after_credential_reset_filter`
Data Source
Name | Platform | Sourcetype | Source | Supported App |
---|---|---|---|---|
PingID | N/A | 'XmlWinEventLog' |
'XmlWinEventLog:Security' |
N/A |
Macros Used
Name | Value |
---|---|
pingid | source=PINGID |
pingid_new_mfa_method_after_credential_reset_filter | search * |
pingid_new_mfa_method_after_credential_reset_filter
is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
Setting | Value |
---|---|
Disabled | true |
Cron Schedule | 0 * * * * |
Earliest Time | -70m@m |
Latest Time | -10m@m |
Schedule Window | auto |
Creates Notable | Yes |
Rule Title | %name% |
Rule Description | %description% |
Notable Event Fields | user, dest |
Creates Risk Event | True |
Implementation
Target environment must ingest Windows Event Log and PingID(PingOne) data sources. Specifically from logs from Active Directory Domain Controllers and JSON logging from a PingID(PingOne) enterprise environment, either via Webhook or Push Subscription.
Known False Positives
False positives may be generated by normal provisioning workflows that generate a password reset followed by a device registration.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message | Risk Score | Impact | Confidence |
---|---|---|---|
An MFA configuration change was detected for [$user$] within [$timeDiff$] of a password reset. The device [$object$] was $action$. | 50 | 100 | 50 |
References
Detection Testing
Test Type | Status | Dataset | Source | Sourcetype |
---|---|---|---|---|
Validation | ✅ Passing | N/A | N/A | N/A |
Unit | ✅ Passing | Dataset | XmlWinEventLog:Security |
XmlWinEventLog |
Integration | ✅ Passing | Dataset | XmlWinEventLog:Security |
XmlWinEventLog |
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: GitHub | Version: 2