User Sign in from different countries

Status: available
Severity: medium
Time window: 1h
Group by: ClientIp, Dummy, Hour, User
Source: github.com/Azure/Azure-Sentinel

'This query searches for successful user logins from different countries within 30 mins.'

MITRE ATT&CK coverage

Tactic	Techniques
Initial Access	`T1078` Valid Accounts

Rule body kusto

id: 3094e036-e5ae-4d6e-8626-b0f86ebc71f2
name: User Sign in from different countries
description: |
  'This query searches for successful user logins from different countries within 30 mins.'
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: SalesforceServiceCloudCCPDefinition
    dataTypes:
      - SalesforceServiceCloud
queryFrequency: 1h
queryPeriod: 1h
triggerOperator: gt
triggerThreshold: 0
tactics:
  - InitialAccess
relevantTechniques:
  - T1078
query: |
  let threshold = 2;
  let Countrydb = externaldata(Network:string, geoname_id:string, continent_code:string, continent_name:string, country_iso_code:string, country_name:string)
  [@"https://raw.githubusercontent.com/datasets/geoip2-ipv4/master/data/geoip2-ipv4.csv"];
  let UsersLocation = SalesforceServiceCloud
  | where EventType =~ 'Login' and LoginStatus=~'LOGIN_NO_ERROR'
  | project TimeGenerated, TimestampDerived, ClientIp, UserId, User, UserType ;
  UsersLocation
  | extend Dummy=1
  | extend TimestampDerived = todatetime(TimestampDerived)
  | summarize count() by Hour=bin(TimestampDerived,30m), ClientIp,User, Dummy
  | partition by Hour(
                  lookup (Countrydb|extend Dummy=1) on Dummy
                | where ipv4_is_match(ClientIp, Network)
                )
  | summarize NumOfCountries = dcount(country_name) by User, Hour
  | where NumOfCountries >= threshold
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: AadUserId
        columnName: User
version: 1.0.4
kind: Scheduled

Stages and Predicates

Parameters

let threshold = 2;

Let binding: `Countrydb`

let Countrydb = externaldata(Network:string, geoname_id:string, continent_code:string, continent_name:string, country_iso_code:string, country_name:string)
[@"https://raw.githubusercontent.com/datasets/geoip2-ipv4/master/data/geoip2-ipv4.csv"];

The stages below define let UsersLocation (the rule's main pipeline source).

Stage 1: `source`

SalesforceServiceCloud

Stage 2: `where`

| where EventType =~ 'Login' and LoginStatus=~'LOGIN_NO_ERROR'

Stage 3: `project`

| project TimeGenerated, TimestampDerived, ClientIp, UserId, User, UserType

The stages below run on UsersLocation (the outer pipeline).

Stage 4: `extend`

UsersLocation
| extend Dummy=1

Stage 5: `extend`

| extend TimestampDerived = todatetime(TimestampDerived)

Stage 6: `summarize`

| summarize count() by Hour=bin(TimestampDerived,30m), ClientIp,User, Dummy

Stage 7: `partition`

| partition by Hour(
                lookup (Countrydb|extend Dummy=1) on Dummy
              | where ipv4_is_match(ClientIp, Network)
              )

Stage 8: `summarize`

| summarize NumOfCountries = dcount(country_name) by User, Hour

Threshold: ge 2

Stage 9: `where`

| where NumOfCountries >= threshold

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

Field	Kind	Values
`EventType`	eq	`Login`
`LoginStatus`	eq	`LOGIN_NO_ERROR`
`NumOfCountries`	ge	`2` transforms: `cased`

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`Hour`	`summarize`
`NumOfCountries`	`summarize`
`User`	`summarize`

`j` / `k`	Scroll down / up
`d` / `u`	Half-page down / up
`gg` / `G`	Top / bottom
`h` / `l`	History back / forward
`f`	Follow link (`Shift` = new tab)
`/`	Focus search
`?`	Toggle this help
`↑` / `↓`	Navigate search results
`Enter`	Open highlighted result
`Esc`	Close results / dialog

`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)

User Sign in from different countries

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `Countrydb`

Stage 1: `source`

Stage 2: `where`

Stage 3: `project`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `summarize`

Stage 7: `partition`

Stage 8: `summarize`

Stage 9: `where`

Indicators

Output fields

Keyboard shortcuts

Search operators

User Sign in from different countries

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: Countrydb

Stage 1: source

Stage 2: where

Stage 3: project

Stage 4: extend

Stage 5: extend

Stage 6: summarize

Stage 7: partition

Stage 8: summarize

Stage 9: where

Indicators

Output fields

Let binding: `Countrydb`

Stage 1: `source`

Stage 2: `where`

Stage 3: `project`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `summarize`

Stage 7: `partition`

Stage 8: `summarize`

Stage 9: `where`