Netskope - Suspicious Network Context (Unusual IPs/Geo/Ports)

Status: available
Severity: medium
Time window: 1h
Group by: CsUsername, XCCountry, XCLocation, XCsSrcIp
Source: github.com/Azure/Azure-Sentinel

Detects suspicious network activity based on unusual source/destination IPs, geographic anomalies, uncommon ports, and high traffic volumes.

MITRE ATT&CK coverage

Tactic	Techniques
Discovery	`T1046` Network Service Discovery
Command & Control	`T1071` Application Layer Protocol
Exfiltration	`T1048` Exfiltration Over Alternative Protocol

Rule body kusto

id: 6d989fb0-933e-4ae6-88fa-10e7b51c8897
name: Netskope - Suspicious Network Context (Unusual IPs/Geo/Ports)
description: |
  Detects suspicious network activity based on unusual source/destination IPs, geographic anomalies, uncommon ports, and high traffic volumes.
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: NetskopeWebTxConnector
    dataTypes:
      - NetskopeWebTransactions_CL
queryFrequency: 1h
queryPeriod: 1h
triggerOperator: gt
triggerThreshold: 0
tactics:
  - CommandAndControl
  - Exfiltration
  - Discovery
relevantTechniques:
  - T1071
  - T1048
  - T1046
query: |
  NetskopeWebTransactions_CL
  | where TimeGenerated > ago(1h)
  | where isnotempty(CsUsername)
  | extend 
      DstPort = coalesce(XCsDstPort, XSrDstPort, CsUriPort),
      SrcIP = coalesce(XCsSrcIp, CIp),
      DstIP = coalesce(XCsDstIp, XSrDstIp, SIp)
  | summarize 
      EventCount = count(),
      TotalBytes = sum(Bytes),
      UniqueDstIPs = dcount(DstIP),
      DstIPs = make_set(DstIP, 20),
      UniqueDstPorts = dcount(DstPort),
      DstPorts = make_set(DstPort, 20),
      UniqueHosts = dcount(CsHost),
      Hosts = make_set(CsHost, 20),
      Countries = make_set(XSCountry),
      SuspiciousPortHits = countif(DstPort in (20, 21, 22, 23, 25, 445, 1433, 1434, 3306, 3389, 5432, 5900, 5901)),
      HighRiskCountryHits = countif(XSCountry in ('RU', 'CN', 'KP', 'IR', 'SY'))
      by CsUsername, XCsSrcIp, XCCountry, XCLocation, bin(TimeGenerated, 1h)
  | where SuspiciousPortHits > 0 or HighRiskCountryHits > 0 or UniqueDstIPs > 50 or TotalBytes > 1073741824
  | extend 
      TotalMB = round(TotalBytes / 1048576.0, 2),
      RiskFactors = strcat_array(array_concat(
          iff(SuspiciousPortHits > 0, dynamic(['Suspicious Ports']), dynamic([])),
          iff(HighRiskCountryHits > 0, dynamic(['High Risk Country']), dynamic([])),
          iff(UniqueDstIPs > 50, dynamic(['Many Destinations']), dynamic([])),
          iff(TotalBytes > 1073741824, dynamic(['High Volume']), dynamic([]))
      ), ', ')
  | project 
      TimeGenerated,
      User = CsUsername,
      SourceIP = XCsSrcIp,
      SourceCountry = XCCountry,
      SourceLocation = XCLocation,
      DestinationIPs = DstIPs,
      UniqueDstIPCount = UniqueDstIPs,
      DestinationPorts = DstPorts,
      TargetHosts = Hosts,
      DestinationCountries = Countries,
      SuspiciousPortAccessCount = SuspiciousPortHits,
      HighRiskCountryAccessCount = HighRiskCountryHits,
      TotalDataMB = TotalMB,
      EventCount,
      RiskFactors
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: User
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: SourceIP
version: 1.0.0
kind: Scheduled

Stages and Predicates

Stage 1: `source`

NetskopeWebTransactions_CL

Stage 2: `where`

| where TimeGenerated > ago(1h)

Stage 3: `where`

| where isnotempty(CsUsername)

Stage 4: `extend`

| extend 
    DstPort = coalesce(XCsDstPort, XSrDstPort, CsUriPort),
    SrcIP = coalesce(XCsSrcIp, CIp),
    DstIP = coalesce(XCsDstIp, XSrDstIp, SIp)

Stage 5: `summarize`

| summarize 
    EventCount = count(),
    TotalBytes = sum(Bytes),
    UniqueDstIPs = dcount(DstIP),
    DstIPs = make_set(DstIP, 20),
    UniqueDstPorts = dcount(DstPort),
    DstPorts = make_set(DstPort, 20),
    UniqueHosts = dcount(CsHost),
    Hosts = make_set(CsHost, 20),
    Countries = make_set(XSCountry),
    SuspiciousPortHits = countif(DstPort in (20, 21, 22, 23, 25, 445, 1433, 1434, 3306, 3389, 5432, 5900, 5901)),
    HighRiskCountryHits = countif(XSCountry in ('RU', 'CN', 'KP', 'IR', 'SY'))
    by CsUsername, XCsSrcIp, XCCountry, XCLocation, bin(TimeGenerated, 1h)

Stage 6: `where`

| where SuspiciousPortHits > 0 or HighRiskCountryHits > 0 or UniqueDstIPs > 50 or TotalBytes > 1073741824

Stage 7: `extend`

| extend 
    TotalMB = round(TotalBytes / 1048576.0, 2),
    RiskFactors = strcat_array(array_concat(
        iff(SuspiciousPortHits > 0, dynamic(['Suspicious Ports']), dynamic([])),
        iff(HighRiskCountryHits > 0, dynamic(['High Risk Country']), dynamic([])),
        iff(UniqueDstIPs > 50, dynamic(['Many Destinations']), dynamic([])),
        iff(TotalBytes > 1073741824, dynamic(['High Volume']), dynamic([]))
    ), ', ')

Stage 8: `project`

| project 
    TimeGenerated,
    User = CsUsername,
    SourceIP = XCsSrcIp,
    SourceCountry = XCCountry,
    SourceLocation = XCLocation,
    DestinationIPs = DstIPs,
    UniqueDstIPCount = UniqueDstIPs,
    DestinationPorts = DstPorts,
    TargetHosts = Hosts,
    DestinationCountries = Countries,
    SuspiciousPortAccessCount = SuspiciousPortHits,
    HighRiskCountryAccessCount = HighRiskCountryHits,
    TotalDataMB = TotalMB,
    EventCount,
    RiskFactors

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
`CsUsername`	is_not_null	(no value, null check)
`HighRiskCountryHits`	gt	`0` transforms: `cased`
`SuspiciousPortHits`	gt	`0` transforms: `cased`
`TotalBytes`	gt	`1073741824` transforms: `cased`
`UniqueDstIPs`	gt	`50` 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
`DestinationCountries`	`project`
`DestinationIPs`	`project`
`DestinationPorts`	`project`
`EventCount`	`project`
`HighRiskCountryAccessCount`	`project`
`RiskFactors`	`project`
`SourceCountry`	`project`
`SourceIP`	`project`
`SourceLocation`	`project`
`SuspiciousPortAccessCount`	`project`
`TargetHosts`	`project`
`TimeGenerated`	`project`
`TotalDataMB`	`project`
`UniqueDstIPCount`	`project`
`User`	`project`

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`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)

Netskope - Suspicious Network Context (Unusual IPs/Geo/Ports)

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `summarize`

Stage 6: `where`

Stage 7: `extend`

Stage 8: `project`

Indicators

Output fields

Keyboard shortcuts

Search operators

Netskope - Suspicious Network Context (Unusual IPs/Geo/Ports)

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: source

Stage 2: where

Stage 3: where

Stage 4: extend

Stage 5: summarize

Stage 6: where

Stage 7: extend

Stage 8: project

Indicators

Output fields

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend`

Stage 5: `summarize`

Stage 6: `where`

Stage 7: `extend`

Stage 8: `project`