Okta ThreatInsight Suspected PasswordSpray Attack
THIS IS A DEPRECATED DETECTION
This detection has been marked deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported.
Description
DEPRECATION NOTE - This search has been deprecated and replaced with Okta ThreatInsight Threat Detected
. The following analytic utilizes Oktas ThreatInsight to identify "PasswordSpray" and any included secondary outcome reasons. This event will trigger when a brute force attempt occurs with unknown usernames attempted.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2023-03-09
- Author: Okta, Inc, Michael Haag, Splunk
- ID: 25dbad05-6682-4dd5-9ce9-8adecf0d9ae2
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
- Installation
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`okta` eventType="security.threat.detected" AND outcome.reason="Password Spray"
| stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by eventType client.userAgent.rawUserAgent client.userAgent.browser outcome.reason
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `okta_threatinsight_suspected_passwordspray_attack_filter`
Macros
The SPL above uses the following Macros:
okta_threatinsight_suspected_passwordspray_attack_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
- eventType
- client.userAgent.rawUserAgent
- client.userAgent.browser
- outcome.reason
- displayMessage
How To Implement
This search is specific to Okta and requires Okta logs to be ingested in your Splunk deployment.
Known False Positives
Fidelity of this is high as it is Okta ThreatInsight. Filter and modify as needed.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
60.0 | 60 | 100 | Okta ThreatInsight has detected or prevented a PasswordSpray attack. |
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: 1