Red Sift - Login from previously unseen IP address

Status: available
Severity: medium
Time window: 14d
Group by: SrcIp, UserEmail
Source: github.com/Azure/Azure-Sentinel

'Detects a successful login from an IP address that has not been seen in the previous 14 days for that user, which may indicate compromised credentials or unauthorized access.'

MITRE ATT&CK coverage

Tactic	Techniques
Initial Access	`T1078` Valid Accounts

Rule body kusto

id: c3d4e5f6-a7b8-9012-cdef-123456789012
name: Red Sift - Login from previously unseen IP address
description: |
  'Detects a successful login from an IP address that has not been seen in the previous 14 days for that user, which may indicate compromised credentials or unauthorized access.'
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: RedSiftPush
    dataTypes:
      - RedSiftAuth_CL
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - InitialAccess
relevantTechniques:
  - T1078
query: |
  let lookback = 14d;
  let recentWindow = 1h;
  let historicalLogins = RedSiftAuth_CL
  | extend
      ActivityName = tostring(column_ifexists("ActivityName", "")),
      UserEmail = tostring(column_ifexists("UserEmail", "")),
      SrcIp = tostring(column_ifexists("SrcIp", ""))
  | where TimeGenerated between (ago(lookback) .. ago(recentWindow))
  | where ActivityName has "Logon"
  | where isnotempty(UserEmail) and isnotempty(SrcIp)
  | summarize by UserEmail, SrcIp;
  RedSiftAuth_CL
  | extend
      ActivityName = tostring(column_ifexists("ActivityName", "")),
      UserEmail = tostring(column_ifexists("UserEmail", "")),
      SrcIp = tostring(column_ifexists("SrcIp", "")),
      HttpUserAgent = tostring(column_ifexists("HttpUserAgent", "")),
      ServiceName = tostring(column_ifexists("ServiceName", "")),
      Severity = tostring(column_ifexists("Severity", ""))
  | where TimeGenerated >= ago(recentWindow)
  | where ActivityName has "Logon"
  | where isnotempty(UserEmail) and isnotempty(SrcIp)
  | join kind=leftanti (historicalLogins) on UserEmail, SrcIp
  | project
      TimeGenerated,
      UserEmail,
      SrcIp,
      HttpUserAgent,
      ServiceName,
      ActivityName,
      Severity
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: FullName
        columnName: UserEmail
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: SrcIp
customDetails:
  UserAgent: HttpUserAgent
  ServiceName: ServiceName
alertDetailsOverride:
  alertDisplayNameFormat: "RedSift - New IP Login for {{UserEmail}}"
  alertDescriptionFormat: "User {{UserEmail}} logged in from a previously unseen IP address {{SrcIp}}."
incidentConfiguration:
  createIncident: true
  groupingConfiguration:
    enabled: true
    reopenClosedIncident: false
    lookbackDuration: P1D
    matchingMethod: Selected
    groupByEntities:
      - Account
eventGroupingSettings:
  aggregationKind: AlertPerResult
suppressionEnabled: false
suppressionDuration: PT1H
version: 1.0.1
kind: Scheduled

Stages and Predicates

Parameters

let lookback = 14d;
let recentWindow = 1h;

Let binding: `historicalLogins`

let historicalLogins = RedSiftAuth_CL
| extend
    ActivityName = tostring(column_ifexists("ActivityName", "")),
    UserEmail = tostring(column_ifexists("UserEmail", "")),
    SrcIp = tostring(column_ifexists("SrcIp", ""))
| where TimeGenerated between (ago(lookback) .. ago(recentWindow))
| where ActivityName has "Logon"
| where isnotempty(UserEmail) and isnotempty(SrcIp)
| summarize by UserEmail, SrcIp;

Derived from lookback, recentWindow.

Stage 1: `source`

RedSiftAuth_CL

Stage 2: `extend`

| extend
    ActivityName = tostring(column_ifexists("ActivityName", "")),
    UserEmail = tostring(column_ifexists("UserEmail", "")),
    SrcIp = tostring(column_ifexists("SrcIp", "")),
    HttpUserAgent = tostring(column_ifexists("HttpUserAgent", "")),
    ServiceName = tostring(column_ifexists("ServiceName", "")),
    Severity = tostring(column_ifexists("Severity", ""))

Stage 3: `where`

| where TimeGenerated >= ago(recentWindow)

Stage 4: `where`

| where ActivityName has "Logon"

Stage 5: `where`

| where isnotempty(UserEmail) and isnotempty(SrcIp)

Stage 6: `join` (negated)

| join kind=leftanti (historicalLogins) on UserEmail, SrcIp

Stage 7: `project`

| project
    TimeGenerated,
    UserEmail,
    SrcIp,
    HttpUserAgent,
    ServiceName,
    ActivityName,
    Severity

Stage 8: `summarize`

summarize by UserEmail, SrcIp

Exclusions

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

Field	Kind	Excluded values
`ActivityName`	match	`Logon`
`SrcIp`	is_not_null	(no value, null check)
`UserEmail`	is_not_null	(no value, null check)

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
`ActivityName`	match	`Logon` transforms: `term`
`SrcIp`	is_not_null	(no value, null check)
`UserEmail`	is_not_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
`SrcIp`	`summarize`
`UserEmail`	`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)

Red Sift - Login from previously unseen IP address

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `historicalLogins`

Stage 1: `source`

Stage 2: `extend`

Stage 3: `where`

Stage 4: `where`

Stage 5: `where`

Stage 6: `join` (negated)

Stage 7: `project`

Stage 8: `summarize`

Exclusions

Indicators

Output fields

Keyboard shortcuts

Search operators

Red Sift - Login from previously unseen IP address

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: historicalLogins

Stage 1: source

Stage 2: extend

Stage 3: where

Stage 4: where

Stage 5: where

Stage 6: join (negated)

Stage 7: project

Stage 8: summarize

Exclusions

Indicators

Output fields

Let binding: `historicalLogins`

Stage 1: `source`

Stage 2: `extend`

Stage 3: `where`

Stage 4: `where`

Stage 5: `where`

Stage 6: `join` (negated)

Stage 7: `project`

Stage 8: `summarize`