Potential beaconing activity (ASIM Network Session schema)
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 patterns 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 | 1.1.3 |
Arm template | fcb9d75c-c3c1-4910-8697-f136bfef2363.json |
let querystarttime = 2d;
let queryendtime = 1d;
let TimeDeltaThreshold = 10;
let TotalEventsThreshold = 15;
let PercentBeaconThreshold = 80;
let LocalNetworks=dynamic(["169.254.0.0/16","127.0.0.0/8"]);
_Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))
| where not(ipv4_is_private(DstIpAddr))
| where not (ipv4_is_in_any_range(DstIpAddr, LocalNetworks))
| 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
severity: Low
name: Potential beaconing activity (ASIM Network Session schema)
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Session Essentials/Analytic Rules/PossibleBeaconingActivity.yaml
requiredDataConnectors:
- dataTypes:
- AWSVPCFlow
connectorId: AWSS3
- dataTypes:
- DeviceNetworkEvents
connectorId: MicrosoftThreatProtection
- dataTypes:
- SecurityEvent
connectorId: SecurityEvents
- dataTypes:
- WindowsEvent
connectorId: WindowsForwardedEvents
- dataTypes:
- CommonSecurityLog
connectorId: Zscaler
- dataTypes:
- Syslog
connectorId: MicrosoftSysmonForLinux
- dataTypes:
- CommonSecurityLog
connectorId: PaloAltoNetworks
- dataTypes:
- VMConnection
connectorId: AzureMonitor(VMInsights)
- dataTypes:
- AzureDiagnostics
connectorId: AzureFirewall
- dataTypes:
- AzureDiagnostics
connectorId: AzureNSG
- dataTypes:
- CommonSecurityLog
connectorId: CiscoASA
- dataTypes:
- Corelight_CL
connectorId: Corelight
- dataTypes:
- VectraStream
connectorId: AIVectraStream
- dataTypes:
- CommonSecurityLog
connectorId: CheckPoint
- dataTypes:
- CommonSecurityLog
connectorId: Fortinet
- dataTypes:
- Syslog
- CiscoMerakiNativePoller
connectorId: CiscoMeraki
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
id: fcb9d75c-c3c1-4910-8697-f136bfef2363
tactics:
- CommandAndControl
queryFrequency: 1d
triggerOperator: gt
customDetails:
FrequencyCount: TotalSrcBytes
FrequencyTime: MostFrequentTimeDeltaCount
DstPortNumber: DstPortNumber
TotalDstBytes: TotalDstBytes
description: |
This rule identifies beaconing patterns from Network traffic logs based on recurrent frequency patterns. Such potential outbound beaconing patterns 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'
triggerThreshold: 0
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
query: |
let querystarttime = 2d;
let queryendtime = 1d;
let TimeDeltaThreshold = 10;
let TotalEventsThreshold = 15;
let PercentBeaconThreshold = 80;
let LocalNetworks=dynamic(["169.254.0.0/16","127.0.0.0/8"]);
_Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))
| where not(ipv4_is_private(DstIpAddr))
| where not (ipv4_is_in_any_range(DstIpAddr, LocalNetworks))
| 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
entityMappings:
- entityType: IP
fieldMappings:
- columnName: SrcIpAddr
identifier: Address
- entityType: IP
fieldMappings:
- columnName: DstIpAddr
identifier: Address
status: Available
version: 1.1.3
kind: Scheduled
queryPeriod: 2d
{
"$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-preview",
"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 patterns 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;\nlet LocalNetworks=dynamic([\"169.254.0.0/16\",\"127.0.0.0/8\"]);\n_Im_NetworkSession(starttime=ago(querystarttime), endtime=ago(queryendtime))\n| where not(ipv4_is_private(DstIpAddr))\n| where not (ipv4_is_in_any_range(DstIpAddr, LocalNetworks))\n| project \n TimeGenerated\n , SrcIpAddr\n , SrcPortNumber\n , DstIpAddr\n , DstPortNumber\n , DstBytes\n , SrcBytes\n| sort by \n SrcIpAddr asc\n , TimeGenerated asc\n , DstIpAddr asc\n , DstPortNumber asc\n| serialize\n| extend \n nextTimeGenerated = next(TimeGenerated, 1)\n , nextSrcIpAddr = next(SrcIpAddr, 1)\n| extend \n TimeDeltainSeconds = datetime_diff('second', nextTimeGenerated, TimeGenerated)\n| where SrcIpAddr == nextSrcIpAddr\n//Whitelisting criteria/ threshold criteria\n| where TimeDeltainSeconds > TimeDeltaThreshold \n| project\n TimeGenerated\n , TimeDeltainSeconds\n , SrcIpAddr\n , SrcPortNumber\n , DstIpAddr\n , DstPortNumber\n , DstBytes\n , SrcBytes\n| summarize\n count()\n , sum(DstBytes)\n , sum(SrcBytes)\n , make_list(TimeDeltainSeconds) \n by TimeDeltainSeconds\n , bin(TimeGenerated, 1h)\n , SrcIpAddr\n , DstIpAddr\n , DstPortNumber\n| summarize\n (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds)\n , TotalEvents=sum(count_)\n , TotalSrcBytes = sum(sum_SrcBytes)\n , TotalDstBytes = sum(sum_DstBytes)\n by bin(TimeGenerated, 1h)\n , SrcIpAddr\n , DstIpAddr\n , 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": {
"alertDisplayNameFormat": "Potential beaconing from {{SrcIpAddr}} to {{DstIpAddr}}",
"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."
},
"customDetails": {
"FrequencyCount": "TotalSrcBytes",
"FrequencyTime": "MostFrequentTimeDeltaCount",
"DstPortNumber": "DstPortNumber",
"TotalDstBytes": "TotalDstBytes"
},
"entityMappings": [
{
"fieldMappings": [
{
"identifier": "Address",
"columnName": "SrcIpAddr"
}
],
"entityType": "IP"
},
{
"fieldMappings": [
{
"identifier": "Address",
"columnName": "DstIpAddr"
}
],
"entityType": "IP"
}
],
"status": "Available",
"templateVersion": "1.1.3",
"OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Session Essentials/Analytic Rules/PossibleBeaconingActivity.yaml",
"tags": [
{
"ParentAlert": "https://github.com/Azure/Azure-Sentinel/blob/master/Detections/CommonSecurityLog/PaloAlto-NetworkBeaconing.yaml",
"ParentVersion": "1.0.0"
},
{
"SchemaVersion": "0.2.4",
"Schema": "ASIMNetworkSession"
}
]
}
}
]
}