Microsoft Sentinel Analytic Rules
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SharePointFileOperation via devices with previously unseen user agents

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Id5dd76a87-9f87-4576-bab3-268b0e2b338b
RulenameSharePointFileOperation via devices with previously unseen user agents
DescriptionIdentifies anomalies if the number of documents uploaded or downloaded from device(s) associated

with a previously unseen user agent exceeds a threshold (default is 5) and deviation (default is 25).
SeverityMedium
TacticsExfiltration
TechniquesT1030
Required data connectorsOffice365
KindScheduled
Query frequency1d
Query period14d
Trigger threshold0
Trigger operatorgt
Source Urihttps://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft 365/Analytic Rules/SharePoint_Downloads_byNewUserAgent.yaml
Version2.2.3
Arm template5dd76a87-9f87-4576-bab3-268b0e2b338b.json
Deploy To Azure
// Set threshold for the number of downloads/uploads from a new user agent
let threshold = 5;
// Define constants for SharePoint file operations
let szSharePointFileOperation = "SharePointFileOperation";
let szOperations = dynamic(["FileDownloaded", "FileUploaded"]);
// Define the historical activity for analysis
let starttime = 14d; // Define the start time for historical data (14 days ago)
let endtime = 1d;   // Define the end time for historical data (1 day ago)
// Extract the base events for analysis
let Baseevents =
  OfficeActivity
  | where TimeGenerated between (ago(starttime) .. ago(endtime))
  | where RecordType =~ szSharePointFileOperation
  | where Operation in~ (szOperations)
  | where isnotempty(UserAgent);
// Identify frequently occurring user agents
let FrequentUA = Baseevents
  | summarize FUACount = count() by UserAgent, RecordType, Operation
  | where FUACount >= threshold
  | distinct UserAgent;
// Calculate a user baseline for further analysis
let UserBaseLine = Baseevents
  | summarize Count = count() by UserId, Operation, Site_Url
  | summarize AvgCount = avg(Count) by UserId, Operation, Site_Url;
// Extract recent activity for analysis
let RecentActivity = OfficeActivity
  | where TimeGenerated > ago(endtime)
  | where RecordType =~ szSharePointFileOperation
  | where Operation in~ (szOperations)
  | where isnotempty(UserAgent)
  | where UserAgent in~ (FrequentUA)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated), OfficeObjectIdCount = dcount(OfficeObjectId), OfficeObjectIdList = make_set(OfficeObjectId), UserAgentSeenCount = count() 
  by RecordType, Operation, UserAgent, UserType, UserId, ClientIP, OfficeWorkload, Site_Url;
// Analyze user behavior based on baseline and recent activity
let UserBehaviorAnalysis = UserBaseLine
  | join kind=inner (RecentActivity) on UserId, Operation, Site_Url
  | extend Deviation = abs(UserAgentSeenCount - AvgCount) / AvgCount;
// Filter and format results for specific user behavior analysis
UserBehaviorAnalysis
  | where Deviation > 25
  | extend UserIdName = tostring(split(UserId, '@')[0]), UserIdUPNSuffix = tostring(split(UserId, '@')[1])
  | project-reorder StartTime, EndTime, UserAgent, UserAgentSeenCount, UserId, ClientIP, Site_Url
  | project-away Site_Url1, UserId1, Operation1
  | order by UserAgentSeenCount desc, UserAgent asc, UserId asc, Site_Url asc
queryFrequency: 1d
severity: Medium
id: 5dd76a87-9f87-4576-bab3-268b0e2b338b
status: Available
requiredDataConnectors:
- dataTypes:
  - OfficeActivity
  connectorId: Office365
kind: Scheduled
description: |
  'Identifies anomalies if the number of documents uploaded or downloaded from device(s) associated
  with a previously unseen user agent exceeds a threshold (default is 5) and deviation (default is 25).'  
query: |
  // Set threshold for the number of downloads/uploads from a new user agent
  let threshold = 5;
  // Define constants for SharePoint file operations
  let szSharePointFileOperation = "SharePointFileOperation";
  let szOperations = dynamic(["FileDownloaded", "FileUploaded"]);
  // Define the historical activity for analysis
  let starttime = 14d; // Define the start time for historical data (14 days ago)
  let endtime = 1d;   // Define the end time for historical data (1 day ago)
  // Extract the base events for analysis
  let Baseevents =
    OfficeActivity
    | where TimeGenerated between (ago(starttime) .. ago(endtime))
    | where RecordType =~ szSharePointFileOperation
    | where Operation in~ (szOperations)
    | where isnotempty(UserAgent);
  // Identify frequently occurring user agents
  let FrequentUA = Baseevents
    | summarize FUACount = count() by UserAgent, RecordType, Operation
    | where FUACount >= threshold
    | distinct UserAgent;
  // Calculate a user baseline for further analysis
  let UserBaseLine = Baseevents
    | summarize Count = count() by UserId, Operation, Site_Url
    | summarize AvgCount = avg(Count) by UserId, Operation, Site_Url;
  // Extract recent activity for analysis
  let RecentActivity = OfficeActivity
    | where TimeGenerated > ago(endtime)
    | where RecordType =~ szSharePointFileOperation
    | where Operation in~ (szOperations)
    | where isnotempty(UserAgent)
    | where UserAgent in~ (FrequentUA)
    | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated), OfficeObjectIdCount = dcount(OfficeObjectId), OfficeObjectIdList = make_set(OfficeObjectId), UserAgentSeenCount = count() 
    by RecordType, Operation, UserAgent, UserType, UserId, ClientIP, OfficeWorkload, Site_Url;
  // Analyze user behavior based on baseline and recent activity
  let UserBehaviorAnalysis = UserBaseLine
    | join kind=inner (RecentActivity) on UserId, Operation, Site_Url
    | extend Deviation = abs(UserAgentSeenCount - AvgCount) / AvgCount;
  // Filter and format results for specific user behavior analysis
  UserBehaviorAnalysis
    | where Deviation > 25
    | extend UserIdName = tostring(split(UserId, '@')[0]), UserIdUPNSuffix = tostring(split(UserId, '@')[1])
    | project-reorder StartTime, EndTime, UserAgent, UserAgentSeenCount, UserId, ClientIP, Site_Url
    | project-away Site_Url1, UserId1, Operation1
    | order by UserAgentSeenCount desc, UserAgent asc, UserId asc, Site_Url asc  
tactics:
- Exfiltration
triggerThreshold: 0
triggerOperator: gt
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft 365/Analytic Rules/SharePoint_Downloads_byNewUserAgent.yaml
relevantTechniques:
- T1030
entityMappings:
- entityType: Account
  fieldMappings:
  - identifier: FullName
    columnName: UserId
  - identifier: Name
    columnName: UserIdName
  - identifier: UPNSuffix
    columnName: UserIdUPNSuffix
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: ClientIP
- entityType: URL
  fieldMappings:
  - identifier: Url
    columnName: Site_Url
version: 2.2.3
name: SharePointFileOperation via devices with previously unseen user agents
queryPeriod: 14d
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "workspace": {
      "type": "String"
    }
  },
  "resources": [
    {
      "apiVersion": "2023-02-01-preview",
      "id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/5dd76a87-9f87-4576-bab3-268b0e2b338b')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/5dd76a87-9f87-4576-bab3-268b0e2b338b')]",
      "properties": {
        "alertRuleTemplateName": "5dd76a87-9f87-4576-bab3-268b0e2b338b",
        "customDetails": null,
        "description": "'Identifies anomalies if the number of documents uploaded or downloaded from device(s) associated\nwith a previously unseen user agent exceeds a threshold (default is 5) and deviation (default is 25).'\n",
        "displayName": "SharePointFileOperation via devices with previously unseen user agents",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "Account",
            "fieldMappings": [
              {
                "columnName": "UserId",
                "identifier": "FullName"
              },
              {
                "columnName": "UserIdName",
                "identifier": "Name"
              },
              {
                "columnName": "UserIdUPNSuffix",
                "identifier": "UPNSuffix"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "ClientIP",
                "identifier": "Address"
              }
            ]
          },
          {
            "entityType": "URL",
            "fieldMappings": [
              {
                "columnName": "Site_Url",
                "identifier": "Url"
              }
            ]
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft 365/Analytic Rules/SharePoint_Downloads_byNewUserAgent.yaml",
        "query": "// Set threshold for the number of downloads/uploads from a new user agent\nlet threshold = 5;\n// Define constants for SharePoint file operations\nlet szSharePointFileOperation = \"SharePointFileOperation\";\nlet szOperations = dynamic([\"FileDownloaded\", \"FileUploaded\"]);\n// Define the historical activity for analysis\nlet starttime = 14d; // Define the start time for historical data (14 days ago)\nlet endtime = 1d;   // Define the end time for historical data (1 day ago)\n// Extract the base events for analysis\nlet Baseevents =\n  OfficeActivity\n  | where TimeGenerated between (ago(starttime) .. ago(endtime))\n  | where RecordType =~ szSharePointFileOperation\n  | where Operation in~ (szOperations)\n  | where isnotempty(UserAgent);\n// Identify frequently occurring user agents\nlet FrequentUA = Baseevents\n  | summarize FUACount = count() by UserAgent, RecordType, Operation\n  | where FUACount >= threshold\n  | distinct UserAgent;\n// Calculate a user baseline for further analysis\nlet UserBaseLine = Baseevents\n  | summarize Count = count() by UserId, Operation, Site_Url\n  | summarize AvgCount = avg(Count) by UserId, Operation, Site_Url;\n// Extract recent activity for analysis\nlet RecentActivity = OfficeActivity\n  | where TimeGenerated > ago(endtime)\n  | where RecordType =~ szSharePointFileOperation\n  | where Operation in~ (szOperations)\n  | where isnotempty(UserAgent)\n  | where UserAgent in~ (FrequentUA)\n  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated), OfficeObjectIdCount = dcount(OfficeObjectId), OfficeObjectIdList = make_set(OfficeObjectId), UserAgentSeenCount = count() \n  by RecordType, Operation, UserAgent, UserType, UserId, ClientIP, OfficeWorkload, Site_Url;\n// Analyze user behavior based on baseline and recent activity\nlet UserBehaviorAnalysis = UserBaseLine\n  | join kind=inner (RecentActivity) on UserId, Operation, Site_Url\n  | extend Deviation = abs(UserAgentSeenCount - AvgCount) / AvgCount;\n// Filter and format results for specific user behavior analysis\nUserBehaviorAnalysis\n  | where Deviation > 25\n  | extend UserIdName = tostring(split(UserId, '@')[0]), UserIdUPNSuffix = tostring(split(UserId, '@')[1])\n  | project-reorder StartTime, EndTime, UserAgent, UserAgentSeenCount, UserId, ClientIP, Site_Url\n  | project-away Site_Url1, UserId1, Operation1\n  | order by UserAgentSeenCount desc, UserAgent asc, UserId asc, Site_Url asc\n",
        "queryFrequency": "P1D",
        "queryPeriod": "P14D",
        "severity": "Medium",
        "status": "Available",
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "Exfiltration"
        ],
        "techniques": [
          "T1030"
        ],
        "templateVersion": "2.2.3",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}