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Idfb7ca1c9-e14c-40a3-856e-28f3c14ea1ba
RulenamePassword spray attack against Microsoft Entra ID Seamless SSO
DescriptionThis query detects when there is a spike in Microsoft Entra ID Seamless SSO errors. They may not be caused by a Password Spray attack, but the cause of the errors might need to be investigated.

Microsoft Entra ID only logs the requests that matched existing accounts, thus there might have been unlogged requests for non-existing accounts.
SeverityMedium
TacticsCredentialAccess
TechniquesT1110
Required data connectorsAzureActiveDirectory
KindScheduled
Query frequency1h
Query period1h
Trigger threshold0
Trigger operatorgt
Source Urihttps://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft%20Entra%20ID/Analytic%20Rules/SeamlessSSOPasswordSpray.yaml
Version1.0.4
Arm templatefb7ca1c9-e14c-40a3-856e-28f3c14ea1ba.json
Deploy To Azure
let account_threshold = 5;
AADNonInteractiveUserSignInLogs
//| where ResultType == "81016"
| where ResultType startswith "81"
| summarize DistinctAccounts = dcount(UserPrincipalName), DistinctAddresses = make_set(IPAddress,100) by ResultType
| where DistinctAccounts > account_threshold
| mv-expand IPAddress = DistinctAddresses
| extend IPAddress = tostring(IPAddress)
| join kind=leftouter (union isfuzzy=true SigninLogs, AADNonInteractiveUserSignInLogs) on IPAddress
| summarize
    StartTime = min(TimeGenerated),
    EndTime = max(TimeGenerated),
    UserPrincipalName = make_set(UserPrincipalName,100),
    UserAgent = make_set(UserAgent,100),
    ResultDescription = take_any(ResultDescription),
    ResultSignature = take_any(ResultSignature)
    by IPAddress, Type, ResultType
| project Type, StartTime, EndTime, IPAddress, ResultType, ResultDescription, ResultSignature, UserPrincipalName, UserAgent = iff(array_length(UserAgent) == 1, UserAgent[0], UserAgent)
| extend Name = tostring(split(UserPrincipalName[0],'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName[0],'@',1)[0])
tactics:
- CredentialAccess
name: Password spray attack against Microsoft Entra ID Seamless SSO
version: 1.0.4
queryFrequency: 1h
requiredDataConnectors:
- connectorId: AzureActiveDirectory
  dataTypes:
  - AADNonInteractiveUserSignInLogs
id: fb7ca1c9-e14c-40a3-856e-28f3c14ea1ba
triggerThreshold: 0
entityMappings:
- fieldMappings:
  - identifier: FullName
    columnName: UserPrincipalName
  - identifier: Name
    columnName: Name
  - identifier: UPNSuffix
    columnName: UPNSuffix
  entityType: Account
- fieldMappings:
  - identifier: Address
    columnName: IPAddress
  entityType: IP
queryPeriod: 1h
severity: Medium
relevantTechniques:
- T1110
description: |
  'This query detects when there is a spike in Microsoft Entra ID Seamless SSO errors. They may not be caused by a Password Spray attack, but the cause of the errors might need to be investigated.
  Microsoft Entra ID only logs the requests that matched existing accounts, thus there might have been unlogged requests for non-existing accounts.'
triggerOperator: gt
status: Available
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft%20Entra%20ID/Analytic%20Rules/SeamlessSSOPasswordSpray.yaml
kind: Scheduled
query: |
  let account_threshold = 5;
  AADNonInteractiveUserSignInLogs
  //| where ResultType == "81016"
  | where ResultType startswith "81"
  | summarize DistinctAccounts = dcount(UserPrincipalName), DistinctAddresses = make_set(IPAddress,100) by ResultType
  | where DistinctAccounts > account_threshold
  | mv-expand IPAddress = DistinctAddresses
  | extend IPAddress = tostring(IPAddress)
  | join kind=leftouter (union isfuzzy=true SigninLogs, AADNonInteractiveUserSignInLogs) on IPAddress
  | summarize
      StartTime = min(TimeGenerated),
      EndTime = max(TimeGenerated),
      UserPrincipalName = make_set(UserPrincipalName,100),
      UserAgent = make_set(UserAgent,100),
      ResultDescription = take_any(ResultDescription),
      ResultSignature = take_any(ResultSignature)
      by IPAddress, Type, ResultType
  | project Type, StartTime, EndTime, IPAddress, ResultType, ResultDescription, ResultSignature, UserPrincipalName, UserAgent = iff(array_length(UserAgent) == 1, UserAgent[0], UserAgent)
  | extend Name = tostring(split(UserPrincipalName[0],'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName[0],'@',1)[0])
{
  "$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/fb7ca1c9-e14c-40a3-856e-28f3c14ea1ba')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/fb7ca1c9-e14c-40a3-856e-28f3c14ea1ba')]",
      "properties": {
        "alertRuleTemplateName": "fb7ca1c9-e14c-40a3-856e-28f3c14ea1ba",
        "customDetails": null,
        "description": "'This query detects when there is a spike in Microsoft Entra ID Seamless SSO errors. They may not be caused by a Password Spray attack, but the cause of the errors might need to be investigated.\nMicrosoft Entra ID only logs the requests that matched existing accounts, thus there might have been unlogged requests for non-existing accounts.'\n",
        "displayName": "Password spray attack against Microsoft Entra ID Seamless SSO",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "Account",
            "fieldMappings": [
              {
                "columnName": "UserPrincipalName",
                "identifier": "FullName"
              },
              {
                "columnName": "Name",
                "identifier": "Name"
              },
              {
                "columnName": "UPNSuffix",
                "identifier": "UPNSuffix"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "IPAddress",
                "identifier": "Address"
              }
            ]
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft%20Entra%20ID/Analytic%20Rules/SeamlessSSOPasswordSpray.yaml",
        "query": "let account_threshold = 5;\nAADNonInteractiveUserSignInLogs\n//| where ResultType == \"81016\"\n| where ResultType startswith \"81\"\n| summarize DistinctAccounts = dcount(UserPrincipalName), DistinctAddresses = make_set(IPAddress,100) by ResultType\n| where DistinctAccounts > account_threshold\n| mv-expand IPAddress = DistinctAddresses\n| extend IPAddress = tostring(IPAddress)\n| join kind=leftouter (union isfuzzy=true SigninLogs, AADNonInteractiveUserSignInLogs) on IPAddress\n| summarize\n    StartTime = min(TimeGenerated),\n    EndTime = max(TimeGenerated),\n    UserPrincipalName = make_set(UserPrincipalName,100),\n    UserAgent = make_set(UserAgent,100),\n    ResultDescription = take_any(ResultDescription),\n    ResultSignature = take_any(ResultSignature)\n    by IPAddress, Type, ResultType\n| project Type, StartTime, EndTime, IPAddress, ResultType, ResultDescription, ResultSignature, UserPrincipalName, UserAgent = iff(array_length(UserAgent) == 1, UserAgent[0], UserAgent)\n| extend Name = tostring(split(UserPrincipalName[0],'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName[0],'@',1)[0])\n",
        "queryFrequency": "PT1H",
        "queryPeriod": "PT1H",
        "severity": "Medium",
        "status": "Available",
        "subTechniques": [],
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "CredentialAccess"
        ],
        "techniques": [
          "T1110"
        ],
        "templateVersion": "1.0.4",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}