Analytic rule catalog
Palo Alto - potential beaconing detected
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| Id | f0be259a-34ac-4946-aa15-ca2b115d5feb |
| Rulename | Palo Alto - potential beaconing detected |
| Description | Identifies beaconing patterns from Palo Alto Network traffic logs based on recurrent timedelta patterns. The query leverages various KQL functions to calculate time deltas and then compares it with total events observed in a day to find percentage of beaconing. This outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts. Reference Blog: https://medium.com/@HuntOperator/detect-beaconing-with-flare-elastic-stack-and-intrusion-detection-systems-110dc74e0c56 https://techcommunity.microsoft.com/t5/microsoft-sentinel-blog/detect-network-beaconing-via-intra-request-time-delta-patterns/ba-p/779586 |
| Severity | Low |
| Tactics | CommandAndControl |
| Techniques | T1071 T1571 |
| Required data connectors | CefAma |
| 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/PaloAlto-PAN-OS/Analytic%20Rules/PaloAlto-NetworkBeaconing.yaml |
| Version | 1.0.7 |
| Arm template | f0be259a-34ac-4946-aa15-ca2b115d5feb.json |
let starttime = 2d;
let endtime = 1d;
let TimeDeltaThreshold = 25;
let TotalEventsThreshold = 30;
let MostFrequentTimeDeltaThreshold = 25;
let PercentBeaconThreshold = 80;
CommonSecurityLog
| where DeviceVendor == "Palo Alto Networks" and Activity == "TRAFFIC"
| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))
| where ipv4_is_private(DestinationIP)== false
| project TimeGenerated, DeviceName, SourceUserID, SourceIP, SourcePort, DestinationIP, DestinationPort, ReceivedBytes, SentBytes
| sort by SourceIP asc,TimeGenerated asc, DestinationIP asc, DestinationPort asc
| serialize
| extend nextTimeGenerated = next(TimeGenerated, 1), nextSourceIP = next(SourceIP, 1)
| extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)
| where SourceIP == nextSourceIP
//Whitelisting criteria/ threshold criteria
| where TimeDeltainSeconds > TimeDeltaThreshold
| summarize count(), sum(ReceivedBytes), sum(SentBytes)
by TimeDeltainSeconds, bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort
| summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSentBytes = sum(sum_SentBytes), TotalReceivedBytes = sum(sum_ReceivedBytes)
by bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort
| where TotalEvents > TotalEventsThreshold and MostFrequentTimeDeltaCount > MostFrequentTimeDeltaThreshold
| extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100
| where BeaconPercent > PercentBeaconThreshold
name: Palo Alto - potential beaconing detected
triggerOperator: gt
query: |
let starttime = 2d;
let endtime = 1d;
let TimeDeltaThreshold = 25;
let TotalEventsThreshold = 30;
let MostFrequentTimeDeltaThreshold = 25;
let PercentBeaconThreshold = 80;
CommonSecurityLog
| where DeviceVendor == "Palo Alto Networks" and Activity == "TRAFFIC"
| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))
| where ipv4_is_private(DestinationIP)== false
| project TimeGenerated, DeviceName, SourceUserID, SourceIP, SourcePort, DestinationIP, DestinationPort, ReceivedBytes, SentBytes
| sort by SourceIP asc,TimeGenerated asc, DestinationIP asc, DestinationPort asc
| serialize
| extend nextTimeGenerated = next(TimeGenerated, 1), nextSourceIP = next(SourceIP, 1)
| extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)
| where SourceIP == nextSourceIP
//Whitelisting criteria/ threshold criteria
| where TimeDeltainSeconds > TimeDeltaThreshold
| summarize count(), sum(ReceivedBytes), sum(SentBytes)
by TimeDeltainSeconds, bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort
| summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSentBytes = sum(sum_SentBytes), TotalReceivedBytes = sum(sum_ReceivedBytes)
by bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort
| where TotalEvents > TotalEventsThreshold and MostFrequentTimeDeltaCount > MostFrequentTimeDeltaThreshold
| extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100
| where BeaconPercent > PercentBeaconThreshold
queryFrequency: 1d
description: |
'Identifies beaconing patterns from Palo Alto Network traffic logs based on recurrent timedelta patterns.
The query leverages various KQL functions to calculate time deltas and then compares it with total events observed in a day to find percentage of beaconing.
This outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts.
Reference Blog:
https://medium.com/@HuntOperator/detect-beaconing-with-flare-elastic-stack-and-intrusion-detection-systems-110dc74e0c56
https://techcommunity.microsoft.com/t5/microsoft-sentinel-blog/detect-network-beaconing-via-intra-request-time-delta-patterns/ba-p/779586'
id: f0be259a-34ac-4946-aa15-ca2b115d5feb
triggerThreshold: 0
queryPeriod: 2d
version: 1.0.7
kind: Scheduled
status: Available
severity: Low
requiredDataConnectors:
- connectorId: CefAma
dataTypes:
- CommonSecurityLog
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/PaloAlto-PAN-OS/Analytic%20Rules/PaloAlto-NetworkBeaconing.yaml
relevantTechniques:
- T1071
- T1571
tactics:
- CommandAndControl
entityMappings:
- fieldMappings:
- identifier: FullName
columnName: SourceUserID
entityType: Account
- fieldMappings:
- identifier: FullName
columnName: DeviceName
entityType: Host
- fieldMappings:
- identifier: Address
columnName: DestinationIP
entityType: IP
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {
"workspace": {
"type": "String"
}
},
"resources": [
{
"apiVersion": "2024-01-01-preview",
"id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/f0be259a-34ac-4946-aa15-ca2b115d5feb')]",
"kind": "Scheduled",
"name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/f0be259a-34ac-4946-aa15-ca2b115d5feb')]",
"properties": {
"alertRuleTemplateName": "f0be259a-34ac-4946-aa15-ca2b115d5feb",
"customDetails": null,
"description": "'Identifies beaconing patterns from Palo Alto Network traffic logs based on recurrent timedelta patterns.\nThe query leverages various KQL functions to calculate time deltas and then compares it with total events observed in a day to find percentage of beaconing.\nThis outbound beaconing pattern to untrusted public networks should be investigated for any malware callbacks or data exfiltration attempts.\nReference Blog:\nhttps://medium.com/@HuntOperator/detect-beaconing-with-flare-elastic-stack-and-intrusion-detection-systems-110dc74e0c56\nhttps://techcommunity.microsoft.com/t5/microsoft-sentinel-blog/detect-network-beaconing-via-intra-request-time-delta-patterns/ba-p/779586'\n",
"displayName": "Palo Alto - potential beaconing detected",
"enabled": true,
"entityMappings": [
{
"entityType": "Account",
"fieldMappings": [
{
"columnName": "SourceUserID",
"identifier": "FullName"
}
]
},
{
"entityType": "Host",
"fieldMappings": [
{
"columnName": "DeviceName",
"identifier": "FullName"
}
]
},
{
"entityType": "IP",
"fieldMappings": [
{
"columnName": "DestinationIP",
"identifier": "Address"
}
]
}
],
"OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/PaloAlto-PAN-OS/Analytic%20Rules/PaloAlto-NetworkBeaconing.yaml",
"query": "let starttime = 2d;\nlet endtime = 1d;\nlet TimeDeltaThreshold = 25;\nlet TotalEventsThreshold = 30;\nlet MostFrequentTimeDeltaThreshold = 25;\nlet PercentBeaconThreshold = 80;\nCommonSecurityLog\n| where DeviceVendor == \"Palo Alto Networks\" and Activity == \"TRAFFIC\"\n| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))\n| where ipv4_is_private(DestinationIP)== false\n| project TimeGenerated, DeviceName, SourceUserID, SourceIP, SourcePort, DestinationIP, DestinationPort, ReceivedBytes, SentBytes\n| sort by SourceIP asc,TimeGenerated asc, DestinationIP asc, DestinationPort asc\n| serialize\n| extend nextTimeGenerated = next(TimeGenerated, 1), nextSourceIP = next(SourceIP, 1)\n| extend TimeDeltainSeconds = datetime_diff('second',nextTimeGenerated,TimeGenerated)\n| where SourceIP == nextSourceIP\n//Whitelisting criteria/ threshold criteria\n| where TimeDeltainSeconds > TimeDeltaThreshold\n| summarize count(), sum(ReceivedBytes), sum(SentBytes)\nby TimeDeltainSeconds, bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort\n| summarize (MostFrequentTimeDeltaCount, MostFrequentTimeDeltainSeconds) = arg_max(count_, TimeDeltainSeconds), TotalEvents=sum(count_), TotalSentBytes = sum(sum_SentBytes), TotalReceivedBytes = sum(sum_ReceivedBytes)\nby bin(TimeGenerated, 1h), DeviceName, SourceUserID, SourceIP, DestinationIP, DestinationPort\n| where TotalEvents > TotalEventsThreshold and MostFrequentTimeDeltaCount > MostFrequentTimeDeltaThreshold\n| extend BeaconPercent = MostFrequentTimeDeltaCount/toreal(TotalEvents) * 100\n| where BeaconPercent > PercentBeaconThreshold\n",
"queryFrequency": "P1D",
"queryPeriod": "P2D",
"severity": "Low",
"status": "Available",
"subTechniques": [],
"suppressionDuration": "PT1H",
"suppressionEnabled": false,
"tactics": [
"CommandAndControl"
],
"techniques": [
"T1071",
"T1571"
],
"templateVersion": "1.0.7",
"triggerOperator": "GreaterThan",
"triggerThreshold": 0
},
"type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
}
]
}