Potential beaconing activity (ASIM Network Session schema)

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Id	fcb9d75c-c3c1-4910-8697-f136bfef2363
Rulename	Potential beaconing activity (ASIM Network Session schema)
Description	This rule identifies beaconing patterns from Network traffic logs based on recurrent frequency patterns. Such potential outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts as discussed in this Blog.\<br><br> This analytic rule uses ASIM and supports any built-in or custom source that supports the ASIM NetworkSession schema
Severity	Low
Tactics	CommandAndControl
Techniques	T1071 T1571
Required data connectors	AIVectraStream AWSS3 AzureFirewall AzureMonitor(VMInsights) AzureNSG CheckPoint CiscoASA CiscoMeraki Corelight Fortinet MicrosoftSysmonForLinux MicrosoftThreatProtection PaloAltoNetworks SecurityEvents WindowsForwardedEvents Zscaler
Kind	Scheduled
Query frequency	1d
Query period	2d
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Session Essentials/Analytic Rules/PossibleBeaconingActivity.yaml
Version	1.1.2
Arm template	fcb9d75c-c3c1-4910-8697-f136bfef2363.json

KQL

let querystarttime = 2d;
let queryendtime = 1d;
let TimeDeltaThreshold = 10;
let TotalEventsThreshold = 15;
let PercentBeaconThreshold = 80;
_Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))
| where not(ipv4_is_private(DstIpAddr))
| project TimeGenerated,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes
| sort by SrcIpAddr asc,TimeGenerated asc, DstIpAddr asc, DstPortNumber asc
| serialize
| extend nextTimeGenerated = next(TimeGenerated, 1), nextSrcIpAddr = next(SrcIpAddr, 1)
| extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)
| where SrcIpAddr == nextSrcIpAddr
//Whitelisting criteria/ threshold criteria
| where TimeDeltainSeconds > TimeDeltaThreshold 
| project TimeGenerated, TimeDeltainSeconds,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes
| summarize count(), sum(DstBytes), sum(SrcBytes), make_list(TimeDeltainSeconds) 
by TimeDeltainSeconds, bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber
| summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSrcBytes = sum(sum_SrcBytes), TotalDstBytes = sum(sum_DstBytes) 
by bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber
| where TotalEvents > TotalEventsThreshold 
| extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100
| where BeaconPercent > PercentBeaconThreshold

YAML

severity: Low
triggerThreshold: 0
query: |
  let querystarttime = 2d;
  let queryendtime = 1d;
  let TimeDeltaThreshold = 10;
  let TotalEventsThreshold = 15;
  let PercentBeaconThreshold = 80;
  _Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))
  | where not(ipv4_is_private(DstIpAddr))
  | project TimeGenerated,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes
  | sort by SrcIpAddr asc,TimeGenerated asc, DstIpAddr asc, DstPortNumber asc
  | serialize
  | extend nextTimeGenerated = next(TimeGenerated, 1), nextSrcIpAddr = next(SrcIpAddr, 1)
  | extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)
  | where SrcIpAddr == nextSrcIpAddr
  //Whitelisting criteria/ threshold criteria
  | where TimeDeltainSeconds > TimeDeltaThreshold 
  | project TimeGenerated, TimeDeltainSeconds,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes
  | summarize count(), sum(DstBytes), sum(SrcBytes), make_list(TimeDeltainSeconds) 
  by TimeDeltainSeconds, bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber
  | summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSrcBytes = sum(sum_SrcBytes), TotalDstBytes = sum(sum_DstBytes) 
  by bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber
  | where TotalEvents > TotalEventsThreshold 
  | extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100
  | where BeaconPercent > PercentBeaconThreshold  
customDetails:
  TotalDstBytes: TotalDstBytes
  DstPortNumber: DstPortNumber
  FrequencyTime: MostFrequentTimeDeltaCount
  FrequencyCount: TotalSrcBytes
queryFrequency: 1d
requiredDataConnectors:
- connectorId: AWSS3
  dataTypes:
  - AWSVPCFlow
- connectorId: MicrosoftThreatProtection
  dataTypes:
  - DeviceNetworkEvents
- connectorId: SecurityEvents
  dataTypes:
  - SecurityEvent
- connectorId: WindowsForwardedEvents
  dataTypes:
  - WindowsEvent
- connectorId: Zscaler
  dataTypes:
  - CommonSecurityLog
- connectorId: MicrosoftSysmonForLinux
  dataTypes:
  - Syslog
- connectorId: PaloAltoNetworks
  dataTypes:
  - CommonSecurityLog
- connectorId: AzureMonitor(VMInsights)
  dataTypes:
  - VMConnection
- connectorId: AzureFirewall
  dataTypes:
  - AzureDiagnostics
- connectorId: AzureNSG
  dataTypes:
  - AzureDiagnostics
- connectorId: CiscoASA
  dataTypes:
  - CommonSecurityLog
- connectorId: Corelight
  dataTypes:
  - Corelight_CL
- connectorId: AIVectraStream
  dataTypes:
  - VectraStream
- connectorId: CheckPoint
  dataTypes:
  - CommonSecurityLog
- connectorId: Fortinet
  dataTypes:
  - CommonSecurityLog
- connectorId: CiscoMeraki
  dataTypes:
  - Syslog
  - CiscoMerakiNativePoller
id: fcb9d75c-c3c1-4910-8697-f136bfef2363
version: 1.1.2
name: Potential beaconing activity (ASIM Network Session schema)
kind: Scheduled
status: Available
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Session Essentials/Analytic Rules/PossibleBeaconingActivity.yaml
queryPeriod: 2d
alertDetailsOverride:
  alertDescriptionFormat: Potential beaconing pattern from a client at address {{SrcIpAddr}} to a server at address {{DstIpAddr}} over port {{DstPortNumber}} identified. Such potential outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts as discussed in this [Blog](http://www.austintaylor.io/detect/beaconing/intrusion/detection/system/command/control/flare/elastic/stack/2017/06/10/detect-beaconing-with-flare-elasticsearch-and-intrusion-detection-systems/). The recurring frequency, reported as FrequencyTime in the custom details, and the total transferred volume reported as TotalDstBytes in the custom details, can help to determine the significance of this incident.
  alertDisplayNameFormat: Potential beaconing from {{SrcIpAddr}} to {{DstIpAddr}}
relevantTechniques:
- T1071
- T1571
triggerOperator: gt
tactics:
- CommandAndControl
tags:
- ParentAlert: https://github.com/Azure/Azure-Sentinel/blob/master/Detections/CommonSecurityLog/PaloAlto-NetworkBeaconing.yaml
  ParentVersion: 1.0.0
- Schema: ASIMNetworkSession
  SchemaVersion: 0.2.4
description: |
  This rule identifies beaconing patterns from Network traffic logs based on recurrent frequency patterns. Such potential outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts as discussed in this [Blog](http://www.austintaylor.io/detect/beaconing/intrusion/detection/system/command/control/flare/elastic/stack/2017/06/10/detect-beaconing-with-flare-elasticsearch-and-intrusion-detection-systems/).\<br><br>
  This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM NetworkSession schema'  
entityMappings:
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: SrcIpAddr
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: DstIpAddr

ARM

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "workspace": {
      "type": "String"
    }
  },
  "resources": [
    {
      "id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/fcb9d75c-c3c1-4910-8697-f136bfef2363')]",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/fcb9d75c-c3c1-4910-8697-f136bfef2363')]",
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules",
      "kind": "Scheduled",
      "apiVersion": "2022-11-01",
      "properties": {
        "displayName": "Potential beaconing activity (ASIM Network Session schema)",
        "description": "This rule identifies beaconing patterns from Network traffic logs based on recurrent frequency patterns. Such potential outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts as discussed in this [Blog](http://www.austintaylor.io/detect/beaconing/intrusion/detection/system/command/control/flare/elastic/stack/2017/06/10/detect-beaconing-with-flare-elasticsearch-and-intrusion-detection-systems/).\\<br><br>\nThis analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM NetworkSession schema'\n",
        "severity": "Low",
        "enabled": true,
        "query": "let querystarttime = 2d;\nlet queryendtime = 1d;\nlet TimeDeltaThreshold = 10;\nlet TotalEventsThreshold = 15;\nlet PercentBeaconThreshold = 80;\n_Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))\n| where not(ipv4_is_private(DstIpAddr))\n| project TimeGenerated,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes\n| sort by SrcIpAddr asc,TimeGenerated asc, DstIpAddr asc, DstPortNumber asc\n| serialize\n| extend nextTimeGenerated = next(TimeGenerated, 1), nextSrcIpAddr = next(SrcIpAddr, 1)\n| extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)\n| where SrcIpAddr == nextSrcIpAddr\n//Whitelisting criteria/ threshold criteria\n| where TimeDeltainSeconds > TimeDeltaThreshold \n| project TimeGenerated, TimeDeltainSeconds,   SrcIpAddr, SrcPortNumber, DstIpAddr, DstPortNumber, DstBytes, SrcBytes\n| summarize count(), sum(DstBytes), sum(SrcBytes), make_list(TimeDeltainSeconds) \nby TimeDeltainSeconds, bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber\n| summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSrcBytes = sum(sum_SrcBytes), TotalDstBytes = sum(sum_DstBytes) \nby bin(TimeGenerated, 1h),   SrcIpAddr, DstIpAddr, DstPortNumber\n| where TotalEvents > TotalEventsThreshold \n| extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100\n| where BeaconPercent > PercentBeaconThreshold\n",
        "queryFrequency": "P1D",
        "queryPeriod": "P2D",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0,
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "CommandAndControl"
        ],
        "techniques": [
          "T1071",
          "T1571"
        ],
        "alertRuleTemplateName": "fcb9d75c-c3c1-4910-8697-f136bfef2363",
        "alertDetailsOverride": {
          "alertDescriptionFormat": "Potential beaconing pattern from a client at address {{SrcIpAddr}} to a server at address {{DstIpAddr}} over port {{DstPortNumber}} identified. Such potential outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts as discussed in this [Blog](http://www.austintaylor.io/detect/beaconing/intrusion/detection/system/command/control/flare/elastic/stack/2017/06/10/detect-beaconing-with-flare-elasticsearch-and-intrusion-detection-systems/). The recurring frequency, reported as FrequencyTime in the custom details, and the total transferred volume reported as TotalDstBytes in the custom details, can help to determine the significance of this incident.",
          "alertDisplayNameFormat": "Potential beaconing from {{SrcIpAddr}} to {{DstIpAddr}}"
        },
        "customDetails": {
          "FrequencyCount": "TotalSrcBytes",
          "DstPortNumber": "DstPortNumber",
          "FrequencyTime": "MostFrequentTimeDeltaCount",
          "TotalDstBytes": "TotalDstBytes"
        },
        "entityMappings": [
          {
            "fieldMappings": [
              {
                "columnName": "SrcIpAddr",
                "identifier": "Address"
              }
            ],
            "entityType": "IP"
          },
          {
            "fieldMappings": [
              {
                "columnName": "DstIpAddr",
                "identifier": "Address"
              }
            ],
            "entityType": "IP"
          }
        ],
        "tags": [
          {
            "ParentVersion": "1.0.0",
            "ParentAlert": "https://github.com/Azure/Azure-Sentinel/blob/master/Detections/CommonSecurityLog/PaloAlto-NetworkBeaconing.yaml"
          },
          {
            "Schema": "ASIMNetworkSession",
            "SchemaVersion": "0.2.4"
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Session Essentials/Analytic Rules/PossibleBeaconingActivity.yaml",
        "templateVersion": "1.1.2",
        "status": "Available"
      }
    }
  ]
}