Device Registration from Malicious IP

Status: available
Severity: high
Time window: 1h
Group by: Location, NewDevice_osPlatform, NewDevice_osVersion, SuspiciousIP, actor_alternateId_s, actor_displayName_s, client_ipAddress_s, client_userAgent_browser_s, client_userAgent_os_s, client_userAgent_rawUserAgent_s, displayMessage_s, eventType_s, outcome_reason_s, outcome_result_s, severity_s
Source: github.com/Azure/Azure-Sentinel

This query identifies Device Registration from IP addresses identified as malicious by Okta ThreatInsight.

MITRE ATT&CK coverage

Tactic	Techniques
Persistence	`T1098` Account Manipulation

Event coverage

Provider	Event
Okta-security	security.attack.end
Okta-security	security.attack.start
Okta-security	security.threat.detected

Rules detecting the same action

Other rules on this platform that filter on the same API call or operation.

Okta Security Threat Detected (Sigma)
Okta ThreatInsight Login Failure With High Unknown Users (YARA-L)
Okta ThreatInsight Suspected Bruteforce Attack (YARA-L)
Okta ThreatInsight Suspected Password Spray Attack (YARA-L)
Okta ThreatInsight Targeted Bruteforce Attack (YARA-L)
Okta ThreatInsight Threat Detected (Splunk)
Okta ThreatInsight Threat Suspected Promotion (Elastic)

Rule body kusto

id: e36c6bd6-f86a-4282-93a5-b4a1b48dd849
name: Device Registration from Malicious IP
description: |
  'This query identifies Device Registration from IP addresses identified as malicious by Okta ThreatInsight.'
severity: High
status: Available
requiredDataConnectors:
  - connectorId: OktaSSO
    dataTypes:
      - Okta_CL
  - connectorId: OktaSSOv2
    dataTypes:
      - OktaSSO
queryFrequency: 1h
queryPeriod: 1h
triggerOperator: gt
triggerThreshold: 0
tactics:
  - Persistence
relevantTechniques:
  - T1098
query: |
  let Events = dynamic(["device.enrollment.create"]);
  let ThreatInsightOperations = dynamic(["security.threat.detected", "security.attack.start", "security.attack.end" ]);
  let DeviceRegistrations =  OktaSSO
  | where eventType_s in (Events)
  | where outcome_result_s == "SUCCESS"
  | extend oktaDeviceId_ = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).oktaDeviceId), NewDevice_osPlatform = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).osPlatform),  NewDevice_osVersion = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).osVersion), displayName_ = tostring(parse_json(target_s)[0].displayName)
  | extend Location = strcat(client_geographicalContext_city_s,  " | ", client_geographicalContext_state_s," | ", client_geographicalContext_country_s)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by actor_alternateId_s, actor_displayName_s, client_userAgent_os_s, client_ipAddress_s, displayMessage_s, outcome_result_s,
  outcome_reason_s, column_ifexists('debugContext_debugData_logOnlySecurityData_s', ""), column_ifexists('debugContext_debugData_threatSuspected_s',""), client_userAgent_rawUserAgent_s,client_userAgent_browser_s, severity_s, NewDevice_osPlatform, NewDevice_osVersion, eventType_s, Location ;
  let ThreatInsightEvents = OktaSSO
  | where eventType_s in (ThreatInsightOperations)
  | extend SuspiciousIP = actor_displayName_s
  | project TimeGenerated, column_ifexists('debugContext_debugData_threatDetections_s', ""), client_userAgent_rawUserAgent_s, severity_s, outcome_result_s, eventType_s, displayMessage_s, SuspiciousIP, transaction_id_s;
  DeviceRegistrations 
  | join kind=inner (ThreatInsightEvents) on $left.client_ipAddress_s == $right.SuspiciousIP
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: actor_alternateId_s
      - identifier: DisplayName
        columnName: actor_displayName_s
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: client_ipAddress_s
version: 1.1.1
kind: Scheduled

Stages and Predicates

Parameters

let Events = dynamic(["device.enrollment.create"]);
let ThreatInsightOperations = dynamic(["security.threat.detected", "security.attack.start", "security.attack.end" ]);

Let binding: `ThreatInsightEvents`

let ThreatInsightEvents = OktaSSO
| where eventType_s in (ThreatInsightOperations)
| extend SuspiciousIP = actor_displayName_s
| project TimeGenerated, column_ifexists('debugContext_debugData_threatDetections_s', ""), client_userAgent_rawUserAgent_s, severity_s, outcome_result_s, eventType_s, displayMessage_s, SuspiciousIP, transaction_id_s;

Derived from ThreatInsightOperations.

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

Stage 1: `source`

OktaSSO

Stage 2: `where`

| where eventType_s in (Events)

Stage 3: `where`

| where outcome_result_s == "SUCCESS"

Stage 4: `extend`

| extend oktaDeviceId_ = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).oktaDeviceId), NewDevice_osPlatform = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).osPlatform),  NewDevice_osVersion = tostring(parse_json(tostring(parse_json(target_s)[0].detailEntry)).osVersion), displayName_ = tostring(parse_json(target_s)[0].displayName)

Stage 5: `extend`

| extend Location = strcat(client_geographicalContext_city_s,  " | ", client_geographicalContext_state_s," | ", client_geographicalContext_country_s)

Stage 6: `summarize`

| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by actor_alternateId_s, actor_displayName_s, client_userAgent_os_s, client_ipAddress_s, displayMessage_s, outcome_result_s,
outcome_reason_s, column_ifexists('debugContext_debugData_logOnlySecurityData_s', ""), column_ifexists('debugContext_debugData_threatSuspected_s',""), client_userAgent_rawUserAgent_s,client_userAgent_browser_s, severity_s, NewDevice_osPlatform, NewDevice_osVersion, eventType_s, Location

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

Stage 7: `join`

DeviceRegistrations
| join kind=inner (ThreatInsightEvents) on $left.client_ipAddress_s == $right.SuspiciousIP

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_s`	in	`Events` transforms: `cased` `security.attack.end` transforms: `cased` `security.attack.start` transforms: `cased` `security.threat.detected` transforms: `cased`
`outcome_result_s`	eq	`SUCCESS` 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
`EndTime`	`summarize`
`Location`	`summarize`
`NewDevice_osPlatform`	`summarize`
`NewDevice_osVersion`	`summarize`
`StartTime`	`summarize`
`actor_alternateId_s`	`summarize`
`actor_displayName_s`	`summarize`
`client_ipAddress_s`	`summarize`
`client_userAgent_browser_s`	`summarize`
`client_userAgent_os_s`	`summarize`
`client_userAgent_rawUserAgent_s`	`summarize`
`displayMessage_s`	`summarize`
`eventType_s`	`summarize`
`outcome_reason_s`	`summarize`
`outcome_result_s`	`summarize`
`severity_s`	`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)

Device Registration from Malicious IP

MITRE ATT&CK coverage

Event coverage

Rules detecting the same action

Rule body kusto

Stages and Predicates

Parameters

Let binding: `ThreatInsightEvents`

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `summarize`

Stage 7: `join`

Indicators

Output fields

Keyboard shortcuts

Search operators

Device Registration from Malicious IP

MITRE ATT&CK coverage

Event coverage

Rules detecting the same action

Rule body kusto

Stages and Predicates

Parameters

Let binding: ThreatInsightEvents

Stage 1: source

Stage 2: where

Stage 3: where

Stage 4: extend

Stage 5: extend

Stage 6: summarize

Stage 7: join

Indicators

Output fields

Let binding: `ThreatInsightEvents`

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `summarize`

Stage 7: `join`