Query Details
id: d6e7f8a9-b0c1-4d2e-3f4a-5b6c7d8e9f0a
name: "Netskope IA - Impossible Travel Detection"
version: 1.0.0
kind: Scheduled
description: |
Detects users generating Netskope Internet Access traffic from geographically distant
source countries within a short time window, indicating potential credential compromise
or VPN/proxy abuse. Flags when the same user appears from different countries within 2 hours.
Uses the built-in NetskopeEvents_CL table from the Netskope Internet Access data connector.
MITRE ATT&CK: T1078 (Valid Accounts), T1078.004 (Cloud Accounts)
severity: High
requiredDataConnectors:
- connectorId: NetskopeDataConnector
dataTypes:
- NetskopeEvents_CL
queryFrequency: PT30M
queryPeriod: P1D
triggerOperator: gt
triggerThreshold: 0
tactics:
- InitialAccess
- CredentialAccess
relevantTechniques:
- T1078
query: |
let _NetskopeEmpty = datatable(TimeGenerated:datetime, action_s:string, category_s:string, severity_s:string, malware_name_s:string, malware_type_s:string, threat_name_s:string, user_s:string, domain_s:string, dstip_s:string, srcip_s:string, bytes_uploaded_d:real, bytes_downloaded_d:real, app_s:string, url_s:string, dlp_rule_s:string, dlp_profile_s:string, activity_s:string, file_type_s:string, object_s:string, dst_country_s:string, src_country_s:string, ccl_s:string, access_method_s:string, traffic_type_s:string)[];
let TravelWindow = 2h;
union isfuzzy=true _NetskopeEmpty, NetskopeEvents_CL
| where TimeGenerated > ago(1d)
| where isnotempty(user_s) and isnotempty(src_country_s)
| where src_country_s != "Unknown" and src_country_s != ""
| summarize
Countries = make_set(src_country_s, 10),
CountryCount = dcount(src_country_s),
SourceIPs = make_set(srcip_s, 20),
UniqueIPs = dcount(srcip_s),
RequestCount = count(),
Apps = make_set(app_s, 10),
AccessMethods = make_set(access_method_s, 5),
FirstSeen = min(TimeGenerated),
LastSeen = max(TimeGenerated)
by user_s, bin(TimeGenerated, TravelWindow)
| where CountryCount >= 2
| extend TravelWindowMinutes = datetime_diff('minute', LastSeen, FirstSeen)
| project
user_s, Countries, CountryCount, SourceIPs, UniqueIPs,
RequestCount, Apps, AccessMethods,
TravelWindowMinutes, FirstSeen, LastSeen
| order by CountryCount desc, UniqueIPs desc
entityMappings:
- entityType: Account
fieldMappings:
- identifier: FullName
columnName: user_s
customDetails:
CountryCount: CountryCount
Countries: Countries
UniqueIPs: UniqueIPs
alertDetailsOverride:
alertDisplayNameFormat: "Netskope IA Impossible Travel - {{user_s}} ({{CountryCount}} countries)"
alertDescriptionFormat: "User {{user_s}} accessed from {{CountryCount}} different countries within a 2-hour window: {{Countries}}."
incidentConfiguration:
createIncident: true
groupingConfiguration:
enabled: true
reopenClosedIncident: false
lookbackDuration: PT6H
matchingMethod: Selected
groupByEntities:
- Account
groupByAlertDetails: []
groupByCustomDetails: []
This query is designed to detect suspicious activity by identifying users who appear to access Netskope Internet Access from multiple geographically distant countries within a short time frame, specifically within two hours. This could indicate potential credential compromise or misuse of VPN/proxy services.
Here's a simple breakdown of what the query does:
Data Source: It uses data from the NetskopeEvents_CL table, which is part of the Netskope Internet Access data connector.
Time Frame: The query looks at events from the past day (24 hours).
User Activity: It focuses on users who have logged in from different countries, excluding unknown or empty country entries.
Detection Logic:
Alert Generation: If a user is detected accessing from multiple countries within the specified time frame, an alert is generated with details about the user, the number of countries, and the countries themselves.
Severity and Tactics: The alert is marked as high severity and is associated with tactics like Initial Access and Credential Access, aligning with MITRE ATT&CK techniques T1078 and T1078.004.
Incident Management: The query is configured to create incidents for detected cases, with options for grouping related alerts by user account.
Overall, this query helps identify potentially compromised accounts or misuse of network access by flagging unusual travel patterns in user activity.

David Alonso
Released: April 16, 2026
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