Microsoft Sentinel Analytic Rules
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New UserAgent observed in last 24 hours

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Idb725d62c-eb77-42ff-96f6-bdc6745fc6e0
RulenameNew UserAgent observed in last 24 hours
DescriptionIdentifies new UserAgents observed in the last 24 hours versus the previous 14 days. This detection extracts words from user agents to build the baseline and determine rareity rather than perform a direct comparison. This avoids FPs caused by version numbers and other high entropy user agent components.

These new UserAgents could be benign. However, in normally stable environments, these new UserAgents could provide a starting point for investigating malicious activity.

Note: W3CIISLog can be noisy depending on the environment, however OfficeActivity and AWSCloudTrail are usually stable with low numbers of detections.
SeverityLow
TacticsInitialAccess
CommandAndControl
Execution
TechniquesT1189
T1071
T1203
Required data connectorsAWS
AzureMonitor(IIS)
Office365
KindScheduled
Query frequency1d
Query period14d
Trigger threshold0
Trigger operatorgt
Source Urihttps://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Threat Protection Essentials/Analytic Rules/NewUserAgentLast24h.yaml
Version1.0.5
Arm templateb725d62c-eb77-42ff-96f6-bdc6745fc6e0.json
Deploy To Azure
let starttime = 14d;
let endtime = 1d;
let UserAgentAll =
(union isfuzzy=true
(OfficeActivity
| where TimeGenerated >= ago(starttime)
| where isnotempty(UserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = ClientIP, Account = UserId, Type, RecordType, Operation
),
(
W3CIISLog
| where TimeGenerated >= ago(starttime)
| where isnotempty(csUserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent = csUserAgent, SourceIP = cIP, Account = csUserName, Type, sSiteName, csMethod, csUriStem
),
(
AWSCloudTrail
| where TimeGenerated >= ago(starttime)
| where isnotempty(UserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = SourceIpAddress, Account = UserIdentityUserName, Type, EventSource, EventName
))
// remove wordSize blocks of non-numeric hex characters prior to word extraction
| extend UserAgentNoHexAlphas = replace("([A-Fa-f]{4,})", "x", UserAgent)
// once blocks of hex chars are removed, extract wordSize blocks of a-z
| extend Tokens = extract_all("([A-Za-z]{4,})", UserAgentNoHexAlphas)
// concatenate extracted words to create a summarized user agent for baseline and comparison
| extend NormalizedUserAgent = strcat_array(Tokens, "|")
| project-away UserAgentNoHexAlphas, Tokens;
UserAgentAll
| where StartTime >= ago(endtime)
| summarize StartTime = min(StartTime), EndTime = max(EndTime), count() by UserAgent, NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
| join kind=leftanti
(
UserAgentAll
| where StartTime < ago(endtime)
| summarize by NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
)
on NormalizedUserAgent
| extend timestamp = StartTime
| extend Name = tostring(split(Account, '@', 0)[0]), UPNSuffix = tostring(split(Account, '@', 1)[0])
kind: Scheduled
relevantTechniques:
- T1189
- T1071
- T1203
description: |
  'Identifies new UserAgents observed in the last 24 hours versus the previous 14 days. This detection extracts words from user agents to build the baseline and determine rareity rather than perform a direct comparison. This avoids FPs caused by version numbers and other high entropy user agent components.
  These new UserAgents could be benign. However, in normally stable environments, these new UserAgents could provide a starting point for investigating malicious activity.
  Note: W3CIISLog can be noisy depending on the environment, however OfficeActivity and AWSCloudTrail are usually stable with low numbers of detections.'  
queryPeriod: 14d
queryFrequency: 1d
tactics:
- InitialAccess
- CommandAndControl
- Execution
name: New UserAgent observed in last 24 hours
requiredDataConnectors:
- connectorId: AWS
  dataTypes:
  - AWSCloudTrail
- connectorId: Office365
  dataTypes:
  - OfficeActivity
- connectorId: AzureMonitor(IIS)
  dataTypes:
  - W3CIISLog
entityMappings:
- entityType: Account
  fieldMappings:
  - identifier: Name
    columnName: Name
  - identifier: UPNSuffix
    columnName: UPNSuffix
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: SourceIP
triggerThreshold: 0
version: 1.0.5
id: b725d62c-eb77-42ff-96f6-bdc6745fc6e0
query: |
  let starttime = 14d;
  let endtime = 1d;
  let UserAgentAll =
  (union isfuzzy=true
  (OfficeActivity
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(UserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = ClientIP, Account = UserId, Type, RecordType, Operation
  ),
  (
  W3CIISLog
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(csUserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent = csUserAgent, SourceIP = cIP, Account = csUserName, Type, sSiteName, csMethod, csUriStem
  ),
  (
  AWSCloudTrail
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(UserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = SourceIpAddress, Account = UserIdentityUserName, Type, EventSource, EventName
  ))
  // remove wordSize blocks of non-numeric hex characters prior to word extraction
  | extend UserAgentNoHexAlphas = replace("([A-Fa-f]{4,})", "x", UserAgent)
  // once blocks of hex chars are removed, extract wordSize blocks of a-z
  | extend Tokens = extract_all("([A-Za-z]{4,})", UserAgentNoHexAlphas)
  // concatenate extracted words to create a summarized user agent for baseline and comparison
  | extend NormalizedUserAgent = strcat_array(Tokens, "|")
  | project-away UserAgentNoHexAlphas, Tokens;
  UserAgentAll
  | where StartTime >= ago(endtime)
  | summarize StartTime = min(StartTime), EndTime = max(EndTime), count() by UserAgent, NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
  | join kind=leftanti
  (
  UserAgentAll
  | where StartTime < ago(endtime)
  | summarize by NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
  )
  on NormalizedUserAgent
  | extend timestamp = StartTime
  | extend Name = tostring(split(Account, '@', 0)[0]), UPNSuffix = tostring(split(Account, '@', 1)[0])  
status: Available
triggerOperator: gt
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Threat Protection Essentials/Analytic Rules/NewUserAgentLast24h.yaml
severity: Low
{
  "$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/b725d62c-eb77-42ff-96f6-bdc6745fc6e0')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/b725d62c-eb77-42ff-96f6-bdc6745fc6e0')]",
      "properties": {
        "alertRuleTemplateName": "b725d62c-eb77-42ff-96f6-bdc6745fc6e0",
        "customDetails": null,
        "description": "'Identifies new UserAgents observed in the last 24 hours versus the previous 14 days. This detection extracts words from user agents to build the baseline and determine rareity rather than perform a direct comparison. This avoids FPs caused by version numbers and other high entropy user agent components.\nThese new UserAgents could be benign. However, in normally stable environments, these new UserAgents could provide a starting point for investigating malicious activity.\nNote: W3CIISLog can be noisy depending on the environment, however OfficeActivity and AWSCloudTrail are usually stable with low numbers of detections.'\n",
        "displayName": "New UserAgent observed in last 24 hours",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "Account",
            "fieldMappings": [
              {
                "columnName": "Name",
                "identifier": "Name"
              },
              {
                "columnName": "UPNSuffix",
                "identifier": "UPNSuffix"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "SourceIP",
                "identifier": "Address"
              }
            ]
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Network Threat Protection Essentials/Analytic Rules/NewUserAgentLast24h.yaml",
        "query": "let starttime = 14d;\nlet endtime = 1d;\nlet UserAgentAll =\n(union isfuzzy=true\n(OfficeActivity\n| where TimeGenerated >= ago(starttime)\n| where isnotempty(UserAgent)\n| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = ClientIP, Account = UserId, Type, RecordType, Operation\n),\n(\nW3CIISLog\n| where TimeGenerated >= ago(starttime)\n| where isnotempty(csUserAgent)\n| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent = csUserAgent, SourceIP = cIP, Account = csUserName, Type, sSiteName, csMethod, csUriStem\n),\n(\nAWSCloudTrail\n| where TimeGenerated >= ago(starttime)\n| where isnotempty(UserAgent)\n| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = SourceIpAddress, Account = UserIdentityUserName, Type, EventSource, EventName\n))\n// remove wordSize blocks of non-numeric hex characters prior to word extraction\n| extend UserAgentNoHexAlphas = replace(\"([A-Fa-f]{4,})\", \"x\", UserAgent)\n// once blocks of hex chars are removed, extract wordSize blocks of a-z\n| extend Tokens = extract_all(\"([A-Za-z]{4,})\", UserAgentNoHexAlphas)\n// concatenate extracted words to create a summarized user agent for baseline and comparison\n| extend NormalizedUserAgent = strcat_array(Tokens, \"|\")\n| project-away UserAgentNoHexAlphas, Tokens;\nUserAgentAll\n| where StartTime >= ago(endtime)\n| summarize StartTime = min(StartTime), EndTime = max(EndTime), count() by UserAgent, NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem\n| join kind=leftanti\n(\nUserAgentAll\n| where StartTime < ago(endtime)\n| summarize by NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem\n)\non NormalizedUserAgent\n| extend timestamp = StartTime\n| extend Name = tostring(split(Account, '@', 0)[0]), UPNSuffix = tostring(split(Account, '@', 1)[0])\n",
        "queryFrequency": "P1D",
        "queryPeriod": "P14D",
        "severity": "Low",
        "status": "Available",
        "subTechniques": [],
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "CommandAndControl",
          "Execution",
          "InitialAccess"
        ],
        "techniques": [
          "T1071",
          "T1189",
          "T1203"
        ],
        "templateVersion": "1.0.5",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}