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id: c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f
name: "Netskope IA - Multi-Protocol C2 Beaconing Pattern"
version: 1.0.0
kind: Scheduled
description: |
  Detects regular-interval beaconing patterns to suspicious or low-reputation domains.
  C2 implants often call back at fixed intervals. This rule identifies users with
  high-frequency, evenly-spaced requests to domains with low CCL or suspicious categories.
  Uses the built-in NetskopeEvents_CL table from the Netskope Internet Access data connector.
  MITRE ATT&CK: T1071 (Application Layer Protocol), T1573 (Encrypted Channel)
severity: High
requiredDataConnectors:
  - connectorId: NetskopeDataConnector
    dataTypes:
      - NetskopeEvents_CL
queryFrequency: PT1H
queryPeriod: P1D
triggerOperator: gt
triggerThreshold: 0
tactics:
  - CommandAndControl
relevantTechniques:
  - T1071
  - T1573
query: |
  let _NetskopeEmpty = datatable(TimeGenerated:datetime, action_s:string, category_s:string, severity_s:string, malware_name_s:string, malware_type_s:string, threat_name_s:string, user_s:string, domain_s:string, dstip_s:string, srcip_s:string, bytes_uploaded_d:real, bytes_downloaded_d:real, app_s:string, url_s:string, dlp_rule_s:string, dlp_profile_s:string, activity_s:string, file_type_s:string, object_s:string, dst_country_s:string, src_country_s:string, ccl_s:string, access_method_s:string, traffic_type_s:string)[];
  let SuspiciousCategories = dynamic([
      "Uncategorized", "Unknown", "Newly Observed Domain",
      "Newly Registered Domain", "Suspicious", "Parked",
      "Dynamic DNS Host", "Malware", "Command and Control"]);
  let RiskyCCL = dynamic(["poor", "low", "unknown"]);
  union isfuzzy=true _NetskopeEmpty, NetskopeEvents_CL
  | where TimeGenerated > ago(1d)
  | where isnotempty(user_s) and isnotempty(domain_s)
  | where category_s in (SuspiciousCategories) or ccl_s in (RiskyCCL)
  | summarize
      RequestCount     = count(),
      RequestTimes     = make_list(TimeGenerated, 200),
      TotalBytesSent   = sum(todouble(bytes_uploaded_d)),
      TotalBytesRecv   = sum(todouble(bytes_downloaded_d)),
      SourceIPs        = make_set(srcip_s, 5),
      Categories       = make_set(category_s, 5),
      CCL              = take_any(ccl_s),
      DstIPs           = make_set(dstip_s, 5),
      DstCountries     = make_set(dst_country_s, 5),
      FirstSeen        = min(TimeGenerated),
      LastSeen         = max(TimeGenerated)
    by user_s, domain_s
  | where RequestCount >= 20
  | extend
      DurationMinutes  = datetime_diff('minute', LastSeen, FirstSeen),
      AvgIntervalSec   = iff(RequestCount > 1,
                             round(toreal(datetime_diff('second', LastSeen, FirstSeen)) / (RequestCount - 1), 1),
                             0.0)
  | where DurationMinutes >= 60
  | where AvgIntervalSec between (10.0 .. 600.0)
  | project
      user_s, domain_s, RequestCount,
      AvgIntervalSec, DurationMinutes,
      TotalBytesSent, TotalBytesRecv,
      Categories, CCL, DstIPs, DstCountries, SourceIPs,
      FirstSeen, LastSeen
  | order by RequestCount desc, AvgIntervalSec asc
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: FullName
        columnName: user_s
  - entityType: DNS
    fieldMappings:
      - identifier: DomainName
        columnName: domain_s
customDetails:
  RequestCount: RequestCount
  AvgIntervalSec: AvgIntervalSec
  CCL: CCL
alertDetailsOverride:
  alertDisplayNameFormat: "Netskope IA C2 Beaconing - {{user_s}} → {{domain_s}} ({{AvgIntervalSec}}s interval)"
  alertDescriptionFormat: "User {{user_s}} shows beaconing pattern to {{domain_s}} with {{RequestCount}} requests at ~{{AvgIntervalSec}}s intervals."
incidentConfiguration:
  createIncident: true
  groupingConfiguration:
    enabled: true
    reopenClosedIncident: false
    lookbackDuration: PT6H
    matchingMethod: Selected
    groupByEntities:
      - Account
      - DNS
    groupByAlertDetails: []
    groupByCustomDetails: []