Detection: PingID Mismatch Auth Source and Verification Response

Updated Date: 2024-09-30 ID: 15b0694e-caa2-4009-8d83-a1f98b86d086 Author: Steven Dick Type: TTP Product: Splunk Enterprise Security

Description

The following analytic identifies discrepancies between the IP address of an authentication event and the IP address of the verification response event, focusing on differences in the originating countries. It leverages JSON logs from PingID, comparing the 'auth_Country' and 'verify_Country' fields. This activity is significant as it may indicate suspicious sign-in behavior, such as account compromise or unauthorized access attempts. If confirmed malicious, this could allow attackers to bypass authentication mechanisms, potentially leading to unauthorized access to sensitive systems and data.

 1`pingid` ("result.status" IN ("SUCCESS*","FAIL*","UNSUCCESSFUL*") NOT "result.message" IN ("*pair*","*create*","*delete*")) 
 2| eval user = upper('actors{}.name'), session_id = 'resources{}.websession', dest = 'resources{}.ipaddress', reason = 'result.message', object = 'resources{}.devicemodel', status = 'result.status' 
 3| join user session_id [ search `pingid` ("result.status" IN ("POLICY") AND "resources{}.ipaddress"=*) AND "result.message" IN("*Action: Authenticate*","*Action: Approve*","*Action: Allowed*") 
 4| rex field=result.message "IP Address: (?:N\/A)?(?<policy_ipaddress>.+)?\n" 
 5| rex field=result.message "Action: (?:N\/A)?(?<signature>.+)?\n" 
 6| rex field=result.message "Requested Application Name: (?:N\/A)?(?<Requested_Application_Name>.+)?\n" 
 7| rex field=result.message "Requested Application ID: (?:N\/A)?(?<Requested_Application_ID>.+)?\n" 
 8| eval user = upper('actors{}.name'), session_id = 'resources{}.websession', src = coalesce('resources{}.ipaddress',policy_ipaddress), app = coalesce(Requested_Application_ID,Requested_Application_Name) 
 9| fields app, user, session_id, src, signature ] 
10| iplocation prefix=auth_ dest 
11| iplocation prefix=verify_ src 
12| stats count min(_time) as firstTime max(_time) as lastTime values(app) as app values(session_id) as session_id by user, dest, auth_Country, src, verify_Country, object, signature, status, reason 
13| where auth_Country != verify_Country 
14| `security_content_ctime(firstTime)` 
15| `security_content_ctime(lastTime)` 
16| `pingid_mismatch_auth_source_and_verification_response_filter`

Data Source

Name Platform Sourcetype Source
PingID N/A 'XmlWinEventLog' 'XmlWinEventLog:Security'

Macros Used

Name Value
pingid source=PINGID
pingid_mismatch_auth_source_and_verification_response_filter search *
pingid_mismatch_auth_source_and_verification_response_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1621 Multi-Factor Authentication Request Generation Credential Access
T1556.006 Multi-Factor Authentication Credential Access
T1098.005 Device Registration Defense Evasion
KillChainPhase.EXPLOITAITON
KillChainPhase.INSTALLATION
NistCategory.DE_CM
Cis18Value.CIS_10
APT29
LAPSUS$
Scattered Spider
Scattered Spider
APT29

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
This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

Implementation

Target environment must ingest JSON logging from a PingID(PingOne) enterprise environment, either via Webhook or Push Subscription.

Known False Positives

False positives may be generated by users working out the geographic region where the organizations services or technology is hosted.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
An authentication by [$user$] was detected from [$dest$ - $auth_Country$] and the verification was received from [$src$ - $verify_Country$]. 25 50 50
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation ✅ Passing N/A N/A N/A
Unit ✅ Passing Dataset PINGID _json
Integration ✅ Passing Dataset PINGID _json

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: 3