Box - Abmormal user activity

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

'Detects spikes (deviations from avarage) in user activity.'

MITRE ATT&CK coverage

Tactic	Techniques
Collection	`T1530` Data from Cloud Storage

Rule body kusto

id: 1139230c-cf10-45db-b616-fed0d1415c05
name: Box - Abmormal user activity
description: |
  'Detects spikes (deviations from avarage) in user activity.'
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: BoxDataConnector
    dataTypes:
      - BoxEvents_CL
queryFrequency: 1h
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - Collection
relevantTechniques:
  - T1530
query: |
  let lbperiod_start = 14d;
  let lbperiod_end = 24h;
  let user_actions_1 = BoxEvents
  | where EventEndTime between (ago(lbperiod_start) .. ago(lbperiod_end))
  | summarize TotalEvents = count() by SourceName
  | project TotalEvents, User = SourceName;
  let user_actions_2 = BoxEvents
  | where EventEndTime between (ago(lbperiod_start) .. ago(lbperiod_end))
  | summarize TotalEvents = count() by SrcUserName
  | project TotalEvents, User = SrcUserName;
  let TotalActions = (union user_actions_1, user_actions_2)
  | summarize TotalEvents = count() by User
  | extend EventsPerDay = TotalEvents / 29
  | extend k = 1;
  let actions1_last_h = BoxEvents
  | summarize TotalEventsH = count() by SourceName
  | project TotalEventsH, User = SourceName;
  let actions2_last_h = BoxEvents
  | summarize TotalEventsH = count() by SourceName
  | project TotalEventsH, User = SourceName;
  let TotalActionsLastHour = (union actions1_last_h, actions2_last_h)
  | summarize TotalEventsH = sum(TotalEventsH) by User
  | extend k = 1;
  TotalActions
  | join (TotalActionsLastHour) on k
  | where EventsPerDay > TotalEventsH
  | project User
  | extend AccountCustomEntity = User
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: FullName
        columnName: AccountCustomEntity
version: 1.0.1
kind: Scheduled

Stages and Predicates

Parameters

let lbperiod_start = 14d;
let lbperiod_end = 24h;

Let binding: `user_actions_1`

let user_actions_1 = BoxEvents
| where EventEndTime between (ago(lbperiod_start) .. ago(lbperiod_end))
| summarize TotalEvents = count() by SourceName
| project TotalEvents, User = SourceName;

Derived from lbperiod_start, lbperiod_end.

Let binding: `user_actions_2`

let user_actions_2 = BoxEvents
| where EventEndTime between (ago(lbperiod_start) .. ago(lbperiod_end))
| summarize TotalEvents = count() by SrcUserName
| project TotalEvents, User = SrcUserName;

Derived from lbperiod_start, lbperiod_end.

Let binding: `actions1_last_h`

let actions1_last_h = BoxEvents
| summarize TotalEventsH = count() by SourceName
| project TotalEventsH, User = SourceName;

Let binding: `actions2_last_h`

let actions2_last_h = BoxEvents
| summarize TotalEventsH = count() by SourceName
| project TotalEventsH, User = SourceName;

Let binding: `TotalActionsLastHour`

let TotalActionsLastHour = (union actions1_last_h, actions2_last_h)
| summarize TotalEventsH = sum(TotalEventsH) by User
| extend k = 1;

Derived from actions1_last_h, actions2_last_h.

union (2 sources)

Each leg below queries one source; the rule matches if any leg does. Sources: user_actions_1, user_actions_2

Leg 1: `user_actions_1`

Leg 2: `user_actions_2`

Applied to the combined result

| summarize TotalEvents = count() by User
| extend EventsPerDay = TotalEvents / 29
| extend k = 1 | join (TotalActionsLastHour) on k | where EventsPerDay > TotalEventsH | project User | extend AccountCustomEntity = User

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
`EventsPerDay`	gt	`TotalEventsH` 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
`User`	`project`
`AccountCustomEntity`	`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)

Box - Abmormal user activity

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: `user_actions_1`

Let binding: `user_actions_2`

Let binding: `actions1_last_h`

Let binding: `actions2_last_h`

Let binding: `TotalActionsLastHour`

union (2 sources)

Leg 1: `user_actions_1`

Leg 2: `user_actions_2`

Applied to the combined result

Indicators

Output fields

Keyboard shortcuts

Search operators

Box - Abmormal user activity

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

Let binding: user_actions_1

Let binding: user_actions_2

Let binding: actions1_last_h

Let binding: actions2_last_h

Let binding: TotalActionsLastHour

union (2 sources)

Leg 1: user_actions_1

Leg 2: user_actions_2

Applied to the combined result

Indicators

Output fields

Let binding: `user_actions_1`

Let binding: `user_actions_2`

Let binding: `actions1_last_h`

Let binding: `actions2_last_h`

Let binding: `TotalActionsLastHour`

Leg 1: `user_actions_1`

Leg 2: `user_actions_2`