Okta Suspicious Activity Reported
Description
This event is generated when an associate receives an email from Okta inquiring whether a login attempt was suspicious. If the associate deems it suspicious, an event is generated for review.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-09-21
- Author: Michael Haag, Splunk
- ID: bfc840f5-c9c6-454c-aa13-b46fd0bf1e79
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
- Installation
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
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`okta` eventType=user.account.report_suspicious_activity_by_enduser
| stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by user eventType client.userAgent.rawUserAgent client.userAgent.browser client.geographicalContext.city client.geographicalContext.country
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `okta_suspicious_activity_reported_filter`
Macros
The SPL above uses the following Macros:
okta_suspicious_activity_reported_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
- displayMessage
- user
- eventType
- client.userAgent.rawUserAgent
- client.userAgent.browser
- client.geographicalContext.city
- client.geographicalContext.country
How To Implement
This detection utilizes logs from Okta Identity Management (IM) environments. It requires the ingestion of OktaIm2 logs through the Splunk Add-on for Okta Identity Cloud (https://splunkbase.splunk.com/app/6553). Additionally, it necessitates the activation of suspicious activity reporting and training for associates to report such activities.
Known False Positives
False positives should be minimal, given the high fidelity of this detection. marker.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | A user [$user$] reported suspicious activity in Okta. Investigate further to determine if this was authorized. |
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: 2