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Okta Non-Standard VPN Usage
Remote Employment Fraud (REF) actors will often use virtual private networks (VPNs) to conceal their true physical location. Threat actors mask their originating IP address and instead appear to be situated in any location where the VPN service has a node.
Detection Query
`okta` debugContext.debugData.tunnels IN (*Astrill*,*Azire*,*CyberGhost*,*Express*VPN,*HideMe*, *IPVanish*,*Mullvad*,*Nord*VPN*,*OVPN*,*PIA*VPN*,*Proton*VPN*,*Pure*VPN*,*Slick*VPN*,*Surf*Easy*, *SurfShark*,*Star*VPN*,*TorGuard*,*TorProxy*,*Tiger*VPN*,*TunnelBear*,*Unblock*VPN*,*Warp*VPN*,*WarpSpeed*, *VPNReactor*,*VPN*Shield*,*VPN*Super*VPN*,*ZenMate*) ```listing of commonly used known VPN providers. Add or remove whatever is appropriate for your environment``` | eval user=coalesce('actor.alternateId',user), user=mvindex(split(user, "@"), 0) | rename targetUserAlternateId as user client.* as * request.* as * ipChain{}.* as * geographicalContext.* as * debugContext.* as * debugData.* as * | eval status=case(match(_raw, "FAILURE"), "failure", !match(_raw, "FAILURE"), "success") | stats count values(status) as status max(published) as UTC min(_time) as firsttime max(_time) as lasttime values(target_data) as target_data values(displayMessage) as displayMessage values(eventType) as eventType values(city) as city values(country) as country values(action) as action values(src_ip) as src_ip values(outcome.*) as * values(user) as user by tunnels,_time,host sourcetype index | fillnull value="N/A" | convert ctime(*ttime) | `okta_non_standard_vpn_usage_filter`Author
Marissa Bower, Raven Tait
Created
2026-03-10
Data Sources
Okta
Tags
Remote Employment FraudSuspicious Okta Activity
Raw Content
name: Okta Non-Standard VPN Usage
id: 58eb9f80-896c-42f8-86c6-27ab59026c9c
version: 2
date: '2026-03-10'
author: Marissa Bower, Raven Tait
status: experimental
type: TTP
description: Remote Employment Fraud (REF) actors will often use virtual private networks (VPNs) to conceal their true physical location. Threat actors mask their originating IP address and instead appear to be situated in any location where the VPN service has a node.
data_source:
- Okta
search: '`okta` debugContext.debugData.tunnels IN (*Astrill*,*Azire*,*CyberGhost*,*Express*VPN,*HideMe*, *IPVanish*,*Mullvad*,*Nord*VPN*,*OVPN*,*PIA*VPN*,*Proton*VPN*,*Pure*VPN*,*Slick*VPN*,*Surf*Easy*, *SurfShark*,*Star*VPN*,*TorGuard*,*TorProxy*,*Tiger*VPN*,*TunnelBear*,*Unblock*VPN*,*Warp*VPN*,*WarpSpeed*, *VPNReactor*,*VPN*Shield*,*VPN*Super*VPN*,*ZenMate*) ```listing of commonly used known VPN providers. Add or remove whatever is appropriate for your environment``` | eval user=coalesce(''actor.alternateId'',user), user=mvindex(split(user, "@"), 0) | rename targetUserAlternateId as user client.* as * request.* as * ipChain{}.* as * geographicalContext.* as * debugContext.* as * debugData.* as * | eval status=case(match(_raw, "FAILURE"), "failure", !match(_raw, "FAILURE"), "success") | stats count values(status) as status max(published) as UTC min(_time) as firsttime max(_time) as lasttime values(target_data) as target_data values(displayMessage) as displayMessage values(eventType) as eventType values(city) as city values(country) as country values(action) as action values(src_ip) as src_ip values(outcome.*) as * values(user) as user by tunnels,_time,host sourcetype index | fillnull value="N/A" | convert ctime(*ttime) | `okta_non_standard_vpn_usage_filter`'
how_to_implement: The analytic leverages Okta OktaIm2 logs to be ingested using the Splunk Add-on for Okta Identity Cloud (https://splunkbase.splunk.com/app/6553).
known_false_positives: Limited to no expected false positives once a baseline of common VPN software has been completed.
drilldown_searches:
- name: View the detection results for - "$user$"
search: '%original_detection_search% | search actor.alternateId = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") starthoursago=168 | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
rba:
message: Uncommon VPN software used by $user$ to connect to Okta.
risk_objects:
- field: user
type: user
score: 50
threat_objects: []
tags:
analytic_story:
- Remote Employment Fraud
- Suspicious Okta Activity
asset_type: Identity
mitre_attack_id:
- T1078
- T1572
- T1090
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: identity