Analytic rule catalog
GSA - Detect Abnormal Deny Rate for Source to Destination IP
Back
| Id | e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b |
| Rulename | GSA - Detect Abnormal Deny Rate for Source to Destination IP |
| Description | Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules. |
| Severity | Medium |
| Tactics | InitialAccess Exfiltration CommandAndControl |
| Techniques | T1571 |
| Required data connectors | AzureActiveDirectory |
| Kind | Scheduled |
| Query frequency | 1h |
| Query period | 7d |
| Trigger threshold | 1 |
| Trigger operator | gt |
| Source Uri | https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Global%20Secure%20Access/Analytic%20Rules/SWG%20-%20Abnormal%20Deny%20Rate.yaml |
| Version | 1.0.5 |
| Arm template | e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b.json |
let NumOfStdsThreshold = 3;
let LearningPeriod = 5d;
let BinTime = 1h;
let MinThreshold = 5.0;
let MinLearningBuckets = 5;
let TrafficLogs = NetworkAccessTraffic
| where Action == "Denied"
| where isnotempty(DestinationIp) and isnotempty(SourceIp);
let LearningSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(LearningPeriod + 1d) .. ago(1d))
| summarize count_ = count() by SourceIp, bin(TimeGenerated, BinTime), DestinationIp
| summarize LearningTimeSrcIpDenyRateAvg = avg(count_), LearningTimeSrcIpDenyRateStd = stdev(count_), LearningTimeBuckets = count() by SourceIp, DestinationIp
| where LearningTimeBuckets > MinLearningBuckets;
let AlertTimeSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(1h) .. now())
| summarize AlertTimeSrcIpDenyRateCount = count() by SourceIp, DestinationIp;
AlertTimeSrcIpDenyRate
| join kind=leftouter (LearningSrcIpDenyRate) on SourceIp, DestinationIp
| extend LearningThreshold = max_of(LearningTimeSrcIpDenyRateAvg + NumOfStdsThreshold * LearningTimeSrcIpDenyRateStd, MinThreshold)
| where AlertTimeSrcIpDenyRateCount > LearningThreshold
| project SourceIp, DestinationIp, AlertTimeSrcIpDenyRateCount, LearningThreshold
queryFrequency: 1h
entityMappings:
- fieldMappings:
- columnName: SourceIp
identifier: Address
entityType: IP
- fieldMappings:
- columnName: DestinationIp
identifier: Address
entityType: IP
triggerThreshold: 1
triggerOperator: gt
severity: Medium
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Global%20Secure%20Access/Analytic%20Rules/SWG%20-%20Abnormal%20Deny%20Rate.yaml
query: |
let NumOfStdsThreshold = 3;
let LearningPeriod = 5d;
let BinTime = 1h;
let MinThreshold = 5.0;
let MinLearningBuckets = 5;
let TrafficLogs = NetworkAccessTraffic
| where Action == "Denied"
| where isnotempty(DestinationIp) and isnotempty(SourceIp);
let LearningSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(LearningPeriod + 1d) .. ago(1d))
| summarize count_ = count() by SourceIp, bin(TimeGenerated, BinTime), DestinationIp
| summarize LearningTimeSrcIpDenyRateAvg = avg(count_), LearningTimeSrcIpDenyRateStd = stdev(count_), LearningTimeBuckets = count() by SourceIp, DestinationIp
| where LearningTimeBuckets > MinLearningBuckets;
let AlertTimeSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(1h) .. now())
| summarize AlertTimeSrcIpDenyRateCount = count() by SourceIp, DestinationIp;
AlertTimeSrcIpDenyRate
| join kind=leftouter (LearningSrcIpDenyRate) on SourceIp, DestinationIp
| extend LearningThreshold = max_of(LearningTimeSrcIpDenyRateAvg + NumOfStdsThreshold * LearningTimeSrcIpDenyRateStd, MinThreshold)
| where AlertTimeSrcIpDenyRateCount > LearningThreshold
| project SourceIp, DestinationIp, AlertTimeSrcIpDenyRateCount, LearningThreshold
tactics:
- InitialAccess
- Exfiltration
- CommandAndControl
queryPeriod: 7d
relevantTechniques:
- T1571
requiredDataConnectors:
- connectorId: AzureActiveDirectory
dataTypes:
- NetworkAccessTrafficLogs
id: e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b
kind: Scheduled
version: 1.0.5
description: |
Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules.
status: Available
name: GSA - Detect Abnormal Deny Rate for Source to Destination 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/e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b')]",
"kind": "Scheduled",
"name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b')]",
"properties": {
"alertRuleTemplateName": "e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b",
"customDetails": null,
"description": "Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules.\n",
"displayName": "GSA - Detect Abnormal Deny Rate for Source to Destination IP",
"enabled": true,
"entityMappings": [
{
"entityType": "IP",
"fieldMappings": [
{
"columnName": "SourceIp",
"identifier": "Address"
}
]
},
{
"entityType": "IP",
"fieldMappings": [
{
"columnName": "DestinationIp",
"identifier": "Address"
}
]
}
],
"OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Global%20Secure%20Access/Analytic%20Rules/SWG%20-%20Abnormal%20Deny%20Rate.yaml",
"query": "let NumOfStdsThreshold = 3;\nlet LearningPeriod = 5d;\nlet BinTime = 1h;\nlet MinThreshold = 5.0;\nlet MinLearningBuckets = 5;\nlet TrafficLogs = NetworkAccessTraffic\n | where Action == \"Denied\"\n | where isnotempty(DestinationIp) and isnotempty(SourceIp);\nlet LearningSrcIpDenyRate = TrafficLogs\n | where TimeGenerated between (ago(LearningPeriod + 1d) .. ago(1d))\n | summarize count_ = count() by SourceIp, bin(TimeGenerated, BinTime), DestinationIp\n | summarize LearningTimeSrcIpDenyRateAvg = avg(count_), LearningTimeSrcIpDenyRateStd = stdev(count_), LearningTimeBuckets = count() by SourceIp, DestinationIp\n | where LearningTimeBuckets > MinLearningBuckets;\nlet AlertTimeSrcIpDenyRate = TrafficLogs\n | where TimeGenerated between (ago(1h) .. now())\n | summarize AlertTimeSrcIpDenyRateCount = count() by SourceIp, DestinationIp;\nAlertTimeSrcIpDenyRate\n | join kind=leftouter (LearningSrcIpDenyRate) on SourceIp, DestinationIp\n | extend LearningThreshold = max_of(LearningTimeSrcIpDenyRateAvg + NumOfStdsThreshold * LearningTimeSrcIpDenyRateStd, MinThreshold)\n | where AlertTimeSrcIpDenyRateCount > LearningThreshold\n | project SourceIp, DestinationIp, AlertTimeSrcIpDenyRateCount, LearningThreshold\n",
"queryFrequency": "PT1H",
"queryPeriod": "P7D",
"severity": "Medium",
"status": "Available",
"subTechniques": [],
"suppressionDuration": "PT1H",
"suppressionEnabled": false,
"tactics": [
"CommandAndControl",
"Exfiltration",
"InitialAccess"
],
"techniques": [
"T1571"
],
"templateVersion": "1.0.5",
"triggerOperator": "GreaterThan",
"triggerThreshold": 1
},
"type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
}
]
}