Detection: Zoom Rare Video Devices

EXPERIMENTAL DETECTION

This detection status is set to experimental. The Splunk Threat Research team has not yet fully tested, simulated, or built comprehensive datasets for this detection. As such, this analytic is not officially supported. If you have any questions or concerns, please reach out to us at research@splunk.com.

Updated Date: 2025-06-02 ID: 9b2b819d-c76b-4dc6-bd3d-148edb8de83e Author: Marissa Bower, Raven Tait Type: Hunting Product: Splunk Enterprise Security

Description

Detects rare video devices from Zoom logs. Actors performing Remote Employment Fraud (REF) typically use unusual device information compared to a majority of employees. Detecting this activity requires careful analysis, regular review, and a thorough understanding of the audio and video devices commonly used within your environment.

Search

1`zoom_index` camera=* NOT (camera=*iPhone* OR camera="*FaceTime*" OR speaker="*AirPods*" OR camera="*MacBook*" OR microphone="*MacBook Pro Microphone*") 
2| rare camera limit=50 
3| `zoom_rare_video_devices_filter`

Data Source

No data sources specified for this detection.

Macros Used

Name	Value
zoom_index	`index=zoom`
zoom_rare_video_devices_filter	`search *`

zoom_rare_video_devices_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
T1123	Audio Capture	Collection

Exploitation

DE.AE

CIS 10

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 Risk Event	False

This configuration file applies to all detections of type hunting.

Implementation

The analytic leverages Zoom logs to be ingested using Splunk Connect for Zoom (https://splunkbase.splunk.com/app/4961)

Known False Positives

This is a hunting query meant to identify rare video devices.

Associated Analytic Story

Remote Employment Fraud

Detection Testing

Test Type	Status	Dataset	Source	Sourcetype
Validation	Not Applicable	N/A	N/A	N/A
Unit	❌ Failing	N/A	`N/A`	`N/A`
Integration	❌ Failing	N/A	`N/A`	`N/A`

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: 1