High-Risk Cross-Cloud User Impersonation

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Id	f4a28082-2808-4783-9736-33c1ae117475
Rulename	High-Risk Cross-Cloud User Impersonation
Description	This detection focuses on identifying high-risk cross-cloud activities and sign-in anomalies that may indicate potential security threats. The query starts by analyzing Microsoft Entra ID Signin Logs to pinpoint instances where specific applications, risk levels, and result types align. It then correlates this information with relevant AWS CloudTrail events to identify activities across Azure and AWS environments.
Severity	Medium
Tactics	PrivilegeEscalation
Techniques	T1134 T1078.002 T1078.004
Required data connectors	AWS AzureActiveDirectory
Kind	Scheduled
Query frequency	1d
Query period	1d
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Multi Cloud Attack Coverage Essentials - Resource Abuse/Analytic Rules/UserImpersonateByRiskyUser.yaml
Version	1.0.1
Arm template	f4a28082-2808-4783-9736-33c1ae117475.json

KQL

// Retrieve Azure AD SigninLogs within the last day
SigninLogs 
// Filter for specific AppDisplayNames, ResultType, and Risk Levels
| where AppDisplayName in ("Azure Portal", "ADFS Trust", "Microsoft Azure PowerShell")
    and RiskLevelAggregated == "high"
    and RiskLevelDuringSignIn == "high"
// Summarize AppDisplayNames by relevant attributes
| extend Result = iff(ResultType == 0, "Successful Signin", "Failed Signin")
| summarize make_set(AppDisplayName)
    by
    IPAddress,
    signInTime=TimeGenerated,
    UserPrincipalName,
    RiskEventTypes,
    RiskEventTypes_V2
// Inner join with AWS CloudTrail events
| join kind=inner (
    AWSCloudTrail
    | where isempty(ErrorMessage)
    | where EventSource in ("iam.amazonaws.com", "identitystore.amazonaws.com", "workmail.amazonaws.com", "workdocs.amazonaws.com")
    // List of AWS event names
    | where EventName in~ ("CreateRole", "DeleteRole", "CreateUser", "CreateAccessKey", "DeleteAccessKey", "CreateGroup", "AddUserToGroup", "ChangePassword", "DeleteGroup", "DeleteUser", "RemoveUserFromGroup", "CreateVirtualMFADevice", "DeleteLoginProfile", "CreateOrganization", "SetDefaultMailDomain", "SetMailUserDetails", "CreateMailUser", "ResetPassword", "RegisterToWorkMail", "DisableMailUsers", "EnableMailUsers", "DeleteServiceSpecificCredential", "CreateServiceSpecificCredential", "UpdateAccountEmailAddress", "DeleteGroupPolicy", "UploadServerCertificate")  
    // Summarize relevant attributes
    | summarize make_set(RequestParameters), make_set(ResponseElements)
        by
        SourceIpAddress,
        UserIdentityArn,
        UserIdentityType,
        EventName,
        EventTime=TimeGenerated,
        EventSource
    )
    on $left.IPAddress == $right.SourceIpAddress  
// Calculate time difference in hours between AWS event and Azure sign-in
| extend timedef = datetime_diff("hour", EventTime, signInTime)
// Filter for time differences within a certain range
| where timedef between (0 .. 8)

YAML

relevantTechniques:
- T1134
- T1078.002
- T1078.004
name: High-Risk Cross-Cloud User Impersonation
requiredDataConnectors:
- dataTypes:
  - AWSCloudTrail
  connectorId: AWS
- dataTypes:
  - SigninLogs
  connectorId: AzureActiveDirectory
entityMappings:
- fieldMappings:
  - identifier: Address
    columnName: SourceIpAddress
  entityType: IP
triggerThreshold: 0
id: f4a28082-2808-4783-9736-33c1ae117475
tactics:
- PrivilegeEscalation
version: 1.0.1
customDetails:
  AWSEventName: EventName
  RiskEventTypes: RiskEventTypes
  AwsUser: UserIdentityArn
  AzureUser: UserPrincipalName
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Multi Cloud Attack Coverage Essentials - Resource Abuse/Analytic Rules/UserImpersonateByRiskyUser.yaml
queryPeriod: 1d
kind: Scheduled
queryFrequency: 1d
severity: Medium
description: |
    'This detection focuses on identifying high-risk cross-cloud activities and sign-in anomalies that may indicate potential security threats. The query starts by analyzing Microsoft Entra ID Signin Logs to pinpoint instances where specific applications, risk levels, and result types align. It then correlates this information with relevant AWS CloudTrail events to identify activities across Azure and AWS environments.'
query: |
  // Retrieve Azure AD SigninLogs within the last day
  SigninLogs 
  // Filter for specific AppDisplayNames, ResultType, and Risk Levels
  | where AppDisplayName in ("Azure Portal", "ADFS Trust", "Microsoft Azure PowerShell")
      and RiskLevelAggregated == "high"
      and RiskLevelDuringSignIn == "high"
  // Summarize AppDisplayNames by relevant attributes
  | extend Result = iff(ResultType == 0, "Successful Signin", "Failed Signin")
  | summarize make_set(AppDisplayName)
      by
      IPAddress,
      signInTime=TimeGenerated,
      UserPrincipalName,
      RiskEventTypes,
      RiskEventTypes_V2
  // Inner join with AWS CloudTrail events
  | join kind=inner (
      AWSCloudTrail
      | where isempty(ErrorMessage)
      | where EventSource in ("iam.amazonaws.com", "identitystore.amazonaws.com", "workmail.amazonaws.com", "workdocs.amazonaws.com")
      // List of AWS event names
      | where EventName in~ ("CreateRole", "DeleteRole", "CreateUser", "CreateAccessKey", "DeleteAccessKey", "CreateGroup", "AddUserToGroup", "ChangePassword", "DeleteGroup", "DeleteUser", "RemoveUserFromGroup", "CreateVirtualMFADevice", "DeleteLoginProfile", "CreateOrganization", "SetDefaultMailDomain", "SetMailUserDetails", "CreateMailUser", "ResetPassword", "RegisterToWorkMail", "DisableMailUsers", "EnableMailUsers", "DeleteServiceSpecificCredential", "CreateServiceSpecificCredential", "UpdateAccountEmailAddress", "DeleteGroupPolicy", "UploadServerCertificate")  
      // Summarize relevant attributes
      | summarize make_set(RequestParameters), make_set(ResponseElements)
          by
          SourceIpAddress,
          UserIdentityArn,
          UserIdentityType,
          EventName,
          EventTime=TimeGenerated,
          EventSource
      )
      on $left.IPAddress == $right.SourceIpAddress  
  // Calculate time difference in hours between AWS event and Azure sign-in
  | extend timedef = datetime_diff("hour", EventTime, signInTime)
  // Filter for time differences within a certain range
  | where timedef between (0 .. 8)  
triggerOperator: gt

ARM

{
  "$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/f4a28082-2808-4783-9736-33c1ae117475')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/f4a28082-2808-4783-9736-33c1ae117475')]",
      "properties": {
        "alertRuleTemplateName": "f4a28082-2808-4783-9736-33c1ae117475",
        "customDetails": {
          "AWSEventName": "EventName",
          "AwsUser": "UserIdentityArn",
          "AzureUser": "UserPrincipalName",
          "RiskEventTypes": "RiskEventTypes"
        },
        "description": "'This detection focuses on identifying high-risk cross-cloud activities and sign-in anomalies that may indicate potential security threats. The query starts by analyzing Microsoft Entra ID Signin Logs to pinpoint instances where specific applications, risk levels, and result types align. It then correlates this information with relevant AWS CloudTrail events to identify activities across Azure and AWS environments.'\n",
        "displayName": "High-Risk Cross-Cloud User Impersonation",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "SourceIpAddress",
                "identifier": "Address"
              }
            ]
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Multi Cloud Attack Coverage Essentials - Resource Abuse/Analytic Rules/UserImpersonateByRiskyUser.yaml",
        "query": "// Retrieve Azure AD SigninLogs within the last day\nSigninLogs \n// Filter for specific AppDisplayNames, ResultType, and Risk Levels\n| where AppDisplayName in (\"Azure Portal\", \"ADFS Trust\", \"Microsoft Azure PowerShell\")\n    and RiskLevelAggregated == \"high\"\n    and RiskLevelDuringSignIn == \"high\"\n// Summarize AppDisplayNames by relevant attributes\n| extend Result = iff(ResultType == 0, \"Successful Signin\", \"Failed Signin\")\n| summarize make_set(AppDisplayName)\n    by\n    IPAddress,\n    signInTime=TimeGenerated,\n    UserPrincipalName,\n    RiskEventTypes,\n    RiskEventTypes_V2\n// Inner join with AWS CloudTrail events\n| join kind=inner (\n    AWSCloudTrail\n    | where isempty(ErrorMessage)\n    | where EventSource in (\"iam.amazonaws.com\", \"identitystore.amazonaws.com\", \"workmail.amazonaws.com\", \"workdocs.amazonaws.com\")\n    // List of AWS event names\n    | where EventName in~ (\"CreateRole\", \"DeleteRole\", \"CreateUser\", \"CreateAccessKey\", \"DeleteAccessKey\", \"CreateGroup\", \"AddUserToGroup\", \"ChangePassword\", \"DeleteGroup\", \"DeleteUser\", \"RemoveUserFromGroup\", \"CreateVirtualMFADevice\", \"DeleteLoginProfile\", \"CreateOrganization\", \"SetDefaultMailDomain\", \"SetMailUserDetails\", \"CreateMailUser\", \"ResetPassword\", \"RegisterToWorkMail\", \"DisableMailUsers\", \"EnableMailUsers\", \"DeleteServiceSpecificCredential\", \"CreateServiceSpecificCredential\", \"UpdateAccountEmailAddress\", \"DeleteGroupPolicy\", \"UploadServerCertificate\")  \n    // Summarize relevant attributes\n    | summarize make_set(RequestParameters), make_set(ResponseElements)\n        by\n        SourceIpAddress,\n        UserIdentityArn,\n        UserIdentityType,\n        EventName,\n        EventTime=TimeGenerated,\n        EventSource\n    )\n    on $left.IPAddress == $right.SourceIpAddress  \n// Calculate time difference in hours between AWS event and Azure sign-in\n| extend timedef = datetime_diff(\"hour\", EventTime, signInTime)\n// Filter for time differences within a certain range\n| where timedef between (0 .. 8)\n",
        "queryFrequency": "P1D",
        "queryPeriod": "P1D",
        "severity": "Medium",
        "subTechniques": [
          "T1078.002",
          "T1078.004"
        ],
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "PrivilegeEscalation"
        ],
        "techniques": [
          "T1078",
          "T1134"
        ],
        "templateVersion": "1.0.1",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}