Detect presence of uncommon user agents in web requests ASIM Web Session

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Id	2d50d937-d7f2-4c05-b151-9af7f9ec747e
Rulename	Detect presence of uncommon user agents in web requests (ASIM Web Session)
Description	This rule assists in detecting rare user agents, which may indicate web browsing activity by an unconventional process different from the usual ones. The rule specifically searches for UserAgent strings that have not been seen in the past 14 days. This query will perform better when run over summarized data
Severity	Medium
Tactics	InitialAccess
Techniques	T1190 T1133
Kind	Scheduled
Query frequency	1h
Query period	14d
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Web Session Essentials/Analytic Rules/RareUserAgentDetected.yaml
Version	1.0.1
Arm template	2d50d937-d7f2-4c05-b151-9af7f9ec747e.json

KQL

let lookBack = 14d;
let timeframe = 1h;
// calculate avg. eps(events per second)
let eps = materialize(_Im_WebSession(starttime=ago(1d))
    | project TimeGenerated
    | summarize AvgPerSec = count() / 3600 by bin(TimeGenerated, 1h)
    | summarize round(avg(AvgPerSec))
    );
let summarizationexist  = (
    union isfuzzy=true 
        (
        WebSession_Summarized_SrcInfo_CL
        | where EventTime_t > ago(1d) 
        | project v = int(2)
        ),
        (
        print int(1) 
        | project v = print_0
        )
    | summarize maxv = max(v)
    | extend sumexist = (maxv > 1)
    );
let allUserAgents = union isfuzzy=true
        (
        (datatable(exists: int, sumexist: bool)[1, false]
        | where toscalar(eps) > 1000
        | join (summarizationexist) on sumexist)
        | join (
            _Im_WebSession(starttime=todatetime(ago(2d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
            | where isnotempty(HttpUserAgent)
            | summarize UserAgentsSet =  make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
            | extend exists=int(1)
            )
            on exists
        | project-away exist*, maxv, sum*
        ),
        (
        (datatable(exists: int, sumexist: bool)[1, false]
        | where toscalar(eps) between (501 .. 1000)
        | join (summarizationexist) on sumexist)
        | join (
            _Im_WebSession(starttime=todatetime(ago(3d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
            | where isnotempty(HttpUserAgent)
            | summarize UserAgentsSet = make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
            | extend exists=int(1)
            )
            on exists
        | project-away exist*, maxv, sum*
        ),
        (
        (datatable(exists: int, sumexist: bool)[1, false]
        | where toscalar(eps) <= 500
        | join (summarizationexist) on sumexist)
        | join (
            _Im_WebSession(starttime=todatetime(ago(4d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
            | where isnotempty(HttpUserAgent)
            | summarize UserAgentsSet = make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
            | extend exists=int(1)
            )
            on exists
        | project-away exist*, maxv, sum*
        ),
        (
        WebSession_Summarized_SrcInfo_CL
        | where EventTime_t between (ago(14d) .. ago(timeframe))
            and isnotempty(HttpUserAgent_s)
            and EventResult_s =~ 'Success'
        | summarize UserAgentsSet = make_set(HttpUserAgent_s) // This could contain upto 10,48,576 unique values
        );
_Im_WebSession (starttime=bin(ago(timeframe), 1h), eventresult='Success')
| project
    SrcIpAddr,
    SrcUsername,
    SrcHostname,
    DstIpAddr,
    DstPortNumber,
    Url,
    HttpUserAgent,
    TimeGenerated
| where isnotempty(HttpUserAgent) and HttpUserAgent !in~ (allUserAgents)
| summarize
    EventCount=count(),
    EventStartTime=min(TimeGenerated),
    EventEndTime=max(TimeGenerated)
    by
    SrcIpAddr,
    SrcUsername,
    SrcHostname,
    DstIpAddr,
    Url,
    HttpUserAgent,
    DstPortNumber
| extend Name = iif(SrcUsername contains "@", tostring(split(SrcUsername,'@',0)[0]),SrcUsername), UPNSuffix = iif(SrcUsername contains "@",tostring(split(SrcUsername,'@',1)[0]),"")

YAML

tags:
- SchemaVersion: 0.2.6
  Schema: WebSession
requiredDataConnectors: []
relevantTechniques:
- T1190
- T1133
triggerOperator: gt
customDetails:
  HttpUserAgent: HttpUserAgent
  EventStartTime: EventStartTime
  DstPortNumber: DstPortNumber
  EventEndTime: EventEndTime
  EventCount: EventCount
queryFrequency: 1h
severity: Medium
triggerThreshold: 0
entityMappings:
- fieldMappings:
  - columnName: Url
    identifier: Url
  entityType: URL
- fieldMappings:
  - columnName: SrcIpAddr
    identifier: Address
  entityType: IP
- fieldMappings:
  - columnName: DstIpAddr
    identifier: Address
  entityType: IP
- fieldMappings:
  - columnName: Name
    identifier: Name
  - columnName: UPNSuffix
    identifier: UPNSuffix
  entityType: Account
- fieldMappings:
  - columnName: SrcHostname
    identifier: HostName
  entityType: Host
alertDetailsOverride:
  alertDescriptionFormat: The user agent '{{HttpUserAgent}}' has not been observed in the past 14 days. Conduct research on the user agent string to determine if it is associated with a known legitimate bot or if it is potentially linked to malicious activity. The URL is associated with the IP address '{{DstIpAddr}}'.
  alertDisplayNameFormat: User '{{SrcUsername}}' with IP '{{SrcIpAddr}}' has been observed accessing URL '{{Url}}' using a rare user agent.
name: Detect presence of uncommon user agents in web requests (ASIM Web Session)
query: |
  let lookBack = 14d;
  let timeframe = 1h;
  // calculate avg. eps(events per second)
  let eps = materialize(_Im_WebSession(starttime=ago(1d))
      | project TimeGenerated
      | summarize AvgPerSec = count() / 3600 by bin(TimeGenerated, 1h)
      | summarize round(avg(AvgPerSec))
      );
  let summarizationexist  = (
      union isfuzzy=true 
          (
          WebSession_Summarized_SrcInfo_CL
          | where EventTime_t > ago(1d) 
          | project v = int(2)
          ),
          (
          print int(1) 
          | project v = print_0
          )
      | summarize maxv = max(v)
      | extend sumexist = (maxv > 1)
      );
  let allUserAgents = union isfuzzy=true
          (
          (datatable(exists: int, sumexist: bool)[1, false]
          | where toscalar(eps) > 1000
          | join (summarizationexist) on sumexist)
          | join (
              _Im_WebSession(starttime=todatetime(ago(2d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
              | where isnotempty(HttpUserAgent)
              | summarize UserAgentsSet =  make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
              | extend exists=int(1)
              )
              on exists
          | project-away exist*, maxv, sum*
          ),
          (
          (datatable(exists: int, sumexist: bool)[1, false]
          | where toscalar(eps) between (501 .. 1000)
          | join (summarizationexist) on sumexist)
          | join (
              _Im_WebSession(starttime=todatetime(ago(3d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
              | where isnotempty(HttpUserAgent)
              | summarize UserAgentsSet = make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
              | extend exists=int(1)
              )
              on exists
          | project-away exist*, maxv, sum*
          ),
          (
          (datatable(exists: int, sumexist: bool)[1, false]
          | where toscalar(eps) <= 500
          | join (summarizationexist) on sumexist)
          | join (
              _Im_WebSession(starttime=todatetime(ago(4d)), endtime=bin(ago(timeframe), 1h), eventresult='Success')
              | where isnotempty(HttpUserAgent)
              | summarize UserAgentsSet = make_set(HttpUserAgent) // This could contain upto 10,48,576 unique values
              | extend exists=int(1)
              )
              on exists
          | project-away exist*, maxv, sum*
          ),
          (
          WebSession_Summarized_SrcInfo_CL
          | where EventTime_t between (ago(14d) .. ago(timeframe))
              and isnotempty(HttpUserAgent_s)
              and EventResult_s =~ 'Success'
          | summarize UserAgentsSet = make_set(HttpUserAgent_s) // This could contain upto 10,48,576 unique values
          );
  _Im_WebSession (starttime=bin(ago(timeframe), 1h), eventresult='Success')
  | project
      SrcIpAddr,
      SrcUsername,
      SrcHostname,
      DstIpAddr,
      DstPortNumber,
      Url,
      HttpUserAgent,
      TimeGenerated
  | where isnotempty(HttpUserAgent) and HttpUserAgent !in~ (allUserAgents)
  | summarize
      EventCount=count(),
      EventStartTime=min(TimeGenerated),
      EventEndTime=max(TimeGenerated)
      by
      SrcIpAddr,
      SrcUsername,
      SrcHostname,
      DstIpAddr,
      Url,
      HttpUserAgent,
      DstPortNumber
  | extend Name = iif(SrcUsername contains "@", tostring(split(SrcUsername,'@',0)[0]),SrcUsername), UPNSuffix = iif(SrcUsername contains "@",tostring(split(SrcUsername,'@',1)[0]),"")  
version: 1.0.1
tactics:
- InitialAccess
queryPeriod: 14d
description: |
    'This rule assists in detecting rare user agents, which may indicate web browsing activity by an unconventional process different from the usual ones. The rule specifically searches for UserAgent strings that have not been seen in the past 14 days. This query will perform better when run over summarized data'
kind: Scheduled
id: 2d50d937-d7f2-4c05-b151-9af7f9ec747e
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Web Session Essentials/Analytic Rules/RareUserAgentDetected.yaml
eventGroupingSettings:
  aggregationKind: AlertPerResult
status: Available

ARM