TI map IP entity to OfficeActivity

Severity: medium
Time window: 14d
Group by: IPAddress, Id, ObservableValue, TI_ipEntity
Source: github.com/Azure/Azure-Sentinel

This query maps any IP indicators of compromise (IOCs) from threat intelligence (TI), by searching for matches in OfficeActivity.

MITRE ATT&CK coverage

Tactic	Techniques
Command & Control	`T1071` Application Layer Protocol

Rule body kusto

id: f50280e5-5eb1-4e95-99fd-9d584a987bdd
name: TI map IP entity to OfficeActivity
description: |
  This query maps any IP indicators of compromise (IOCs) from threat intelligence (TI), by searching for matches in OfficeActivity.
severity: Medium
requiredDataConnectors:
  - connectorId: ThreatIntelligence
    dataTypes:
      - ThreatIntelIndicators
  - connectorId: ThreatIntelligenceTaxii
    dataTypes:
      - ThreatIntelIndicators
  - connectorId: MicrosoftDefenderThreatIntelligence
    dataTypes:
      - ThreatIntelIndicators
  - connectorId: Office365
    dataTypes:
      - OfficeActivity
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - CommandAndControl
relevantTechniques:
  - T1071
query: |
  let dt_lookBack = 1h; // Look back 1 hour for OfficeActivity events
  let ioc_lookBack = 14d; // Look back 14 days for threat intelligence indicators
  let OfficeActivity_ = materialize(OfficeActivity
    | where isnotempty(ClientIP)
    | where TimeGenerated >= ago(dt_lookBack)
    | extend ClientIPValues = extract_all(@'\[?(::ffff:)?(?P<IPAddress>(\d+\.\d+\.\d+\.\d+)|[^\]%]+)(%\d+)?\]?([-:](?P<Port>\d+))?', dynamic(["IPAddress", "Port"]), ClientIP)[0]
    | extend IPAddress = iff(array_length(ClientIPValues) > 0, tostring(ClientIPValues[0]), '')
    | project-rename OfficeActivity_TimeGenerated = TimeGenerated);
  let ActivityIPs = OfficeActivity_ | summarize IPs = make_list(IPAddress);
  // Fetch threat intelligence indicators related to IP addresses
  let IP_Indicators = materialize(ThreatIntelIndicators
  //extract key part of kv pair
       | extend IndicatorType = replace(@"\[|\]|\""", "", tostring(split(ObservableKey, ":", 0)))
       | where IndicatorType in ("ipv4-addr", "ipv6-addr", "network-traffic")
       | extend NetworkSourceIP = toupper(ObservableValue)
       | extend TrafficLightProtocolLevel = tostring(parse_json(AdditionalFields).TLPLevel)
    | where TimeGenerated >= ago(ioc_lookBack)
    | extend TI_ipEntity = NetworkSourceIP
    | where TI_ipEntity in (ActivityIPs)
    | extend Url = iff(ObservableKey == "url:value", ObservableValue, "")
    | summarize LatestIndicatorTime = arg_max(TimeGenerated, *) by Id, ObservableValue
    | where IsActive and (ValidUntil > now() or isempty(ValidUntil))
    | extend Description = tostring(parse_json(Data).description)
    | where Description !contains_cs "State: inactive;" and Description !contains_cs "State: falsepos;");
  IP_Indicators
     | project-reorder *, Tags, TrafficLightProtocolLevel, NetworkSourceIP, Type, TI_ipEntity
  // Use innerunique to keep performance fast and result set low, as we only need one match to indicate potential malicious activity that needs investigation
  | join kind=innerunique (OfficeActivity_)
    on $left.TI_ipEntity == $right.IPAddress
  // Filter out OfficeActivity events that occurred after the expiration of the corresponding indicator
  | where OfficeActivity_TimeGenerated < ValidUntil
  // Group the results by IndicatorId and keep the OfficeActivity event with the latest timestamp
  | summarize OfficeActivity_TimeGenerated = arg_max(OfficeActivity_TimeGenerated, *) by Id
  // Select the desired output fields
  | extend Description = tostring(parse_json(Data).description)
  | extend ActivityGroupNames = extract(@"ActivityGroup:(\S+)", 1, tostring(parse_json(Data).labels))
  | project OfficeActivity_TimeGenerated, Description, ActivityGroupNames, Id, ValidUntil, Confidence, TI_ipEntity, ClientIP, UserId, Operation, ResultStatus, RecordType, OfficeObjectId, NetworkSourceIP, Type, Url
  | extend timestamp = OfficeActivity_TimeGenerated, Name = tostring(split(UserId, '@', 0)[0]), UPNSuffix = tostring(split(UserId, '@', 1)[0])
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: FullName
        columnName: UserId
      - identifier: Name
        columnName: Name
      - identifier: UPNSuffix
        columnName: UPNSuffix
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: TI_ipEntity
  - entityType: URL
    fieldMappings:
      - identifier: Url
        columnName: Url
version: 1.4.7
kind: Scheduled

Stages and Predicates

Parameters

let dt_lookBack = 1h;
let ioc_lookBack = 14d;

Let binding: `OfficeActivity_`

let OfficeActivity_ = materialize(OfficeActivity
  | where isnotempty(ClientIP)
  | where TimeGenerated >= ago(dt_lookBack)
  | extend ClientIPValues = extract_all(@'\[?(::ffff:)?(?P<IPAddress>(\d+\.\d+\.\d+\.\d+)|[^\]%]+)(%\d+)?\]?([-:](?P<Port>\d+))?', dynamic(["IPAddress", "Port"]), ClientIP)[0]
  | extend IPAddress = iff(array_length(ClientIPValues) > 0, tostring(ClientIPValues[0]), '')
  | project-rename OfficeActivity_TimeGenerated = TimeGenerated);

Derived from dt_lookBack.

Let binding: `ActivityIPs`

let ActivityIPs = OfficeActivity_ | summarize IPs = make_list(IPAddress);

Derived from OfficeActivity_.

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

Stage 1: `source`

ThreatIntelIndicators

Stage 2: `extend`

| extend IndicatorType = replace(@"\[|\]|\""", "", tostring(split(ObservableKey, ":", 0)))

Stage 3: `where`

| where IndicatorType in ("ipv4-addr", "ipv6-addr", "network-traffic")

Stage 4: `extend`

| extend NetworkSourceIP = toupper(ObservableValue)

Stage 5: `extend`

| extend TrafficLightProtocolLevel = tostring(parse_json(AdditionalFields).TLPLevel)

Stage 6: `where`

| where TimeGenerated >= ago(ioc_lookBack)

Stage 7: `extend`

| extend TI_ipEntity = NetworkSourceIP

Stage 8: `where`

| where TI_ipEntity in (ActivityIPs)

References ActivityIPs (defined above).

Stage 9: `extend`

| extend Url = iff(ObservableKey == "url:value", ObservableValue, "")

Url =

ifObservableKey == "url:value"ObservableValue

else""

Stage 10: `summarize`

| summarize LatestIndicatorTime = arg_max(TimeGenerated, *) by Id, ObservableValue

Stage 11: `where`

| where IsActive and (ValidUntil > now() or isempty(ValidUntil))

Stage 12: `extend`

| extend Description = tostring(parse_json(Data).description)

Stage 13: `where`

| where Description !contains_cs "State: inactive;" and Description !contains_cs "State: falsepos;"

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

Stage 14: `project-reorder`

IP_Indicators
| project-reorder *, Tags, TrafficLightProtocolLevel, NetworkSourceIP, Type, TI_ipEntity

Stage 15: `join`

| join kind=innerunique (OfficeActivity_)
  on $left.TI_ipEntity == $right.IPAddress

Stage 16: `where`

| where OfficeActivity_TimeGenerated < ValidUntil

Stage 17: `summarize`

| summarize OfficeActivity_TimeGenerated = arg_max(OfficeActivity_TimeGenerated, *) by Id

Stage 18: `extend`

| extend Description = tostring(parse_json(Data).description)

Stage 19: `extend`

| extend ActivityGroupNames = extract(@"ActivityGroup:(\S+)", 1, tostring(parse_json(Data).labels))

Stage 20: `project`

| project OfficeActivity_TimeGenerated, Description, ActivityGroupNames, Id, ValidUntil, Confidence, TI_ipEntity, ClientIP, UserId, Operation, ResultStatus, RecordType, OfficeObjectId, NetworkSourceIP, Type, Url

Stage 21: `extend`

| extend timestamp = OfficeActivity_TimeGenerated, Name = tostring(split(UserId, '@', 0)[0]), UPNSuffix = tostring(split(UserId, '@', 1)[0])

Exclusions

Top-level NOT(...) conjuncts: predicates this rule actively suppresses.

Field	Kind	Excluded values
`Description`	contains	`State: falsepos;`
`Description`	contains	`State: inactive;`

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
`ClientIP`	is_not_null	(no value, null check)
`IndicatorType`	in	`ipv4-addr` transforms: `cased` `ipv6-addr` transforms: `cased` `network-traffic` transforms: `cased`
`OfficeActivity_TimeGenerated`	lt	`ValidUntil` transforms: `cased`
`TI_ipEntity`	in	`ActivityIPs` transforms: `cased`
`ValidUntil`	is_null	(no value, null check)

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
`ActivityGroupNames`	`project`
`ClientIP`	`project`
`Confidence`	`project`
`Description`	`project`
`Id`	`project`
`NetworkSourceIP`	`project`
`OfficeActivity_TimeGenerated`	`project`
`OfficeObjectId`	`project`
`Operation`	`project`
`RecordType`	`project`
`ResultStatus`	`project`
`TI_ipEntity`	`project`
`Type`	`project`
`Url`	`project`
`UserId`	`project`
`ValidUntil`	`project`
`Name`	`extend`
`UPNSuffix`	`extend`
`timestamp`	`extend`

`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)

TI map IP entity to OfficeActivity

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `OfficeActivity_`

Let binding: `ActivityIPs`

Stage 1: `source`

Stage 2: `extend`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `where`

Stage 7: `extend`

Stage 8: `where`

Stage 9: `extend`

Stage 10: `summarize`

Stage 11: `where`

Stage 12: `extend`

Stage 13: `where`

Stage 14: `project-reorder`

Stage 15: `join`

Stage 16: `where`

Stage 17: `summarize`

Stage 18: `extend`

Stage 19: `extend`

Stage 20: `project`

Stage 21: `extend`

Exclusions

Indicators

Output fields

Keyboard shortcuts

Search operators

TI map IP entity to OfficeActivity

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: OfficeActivity_

Let binding: ActivityIPs

Stage 1: source

Stage 2: extend

Stage 3: where

Stage 4: extend

Stage 5: extend

Stage 6: where

Stage 7: extend

Stage 8: where

Stage 9: extend

Stage 10: summarize

Stage 11: where

Stage 12: extend

Stage 13: where

Stage 14: project-reorder

Stage 15: join

Stage 16: where

Stage 17: summarize

Stage 18: extend

Stage 19: extend

Stage 20: project

Stage 21: extend

Exclusions

Indicators

Output fields

Let binding: `OfficeActivity_`

Let binding: `ActivityIPs`

Stage 1: `source`

Stage 2: `extend`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `extend`

Stage 6: `where`

Stage 7: `extend`

Stage 8: `where`

Stage 9: `extend`

Stage 10: `summarize`

Stage 11: `where`

Stage 12: `extend`

Stage 13: `where`

Stage 14: `project-reorder`

Stage 15: `join`

Stage 16: `where`

Stage 17: `summarize`

Stage 18: `extend`

Stage 19: `extend`

Stage 20: `project`

Stage 21: `extend`