Detect presence of uncommon user agents in web requests ASIM Web Session
| 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 |
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]),"")
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'
version: 1.0.1
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]),"")
tactics:
- InitialAccess
triggerOperator: gt
eventGroupingSettings:
aggregationKind: AlertPerResult
alertDetailsOverride:
alertDisplayNameFormat: User '{{SrcUsername}}' with IP '{{SrcIpAddr}}' has been observed accessing URL '{{Url}}' using a rare user agent.
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}}'.
id: 2d50d937-d7f2-4c05-b151-9af7f9ec747e
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Web Session Essentials/Analytic Rules/RareUserAgentDetected.yaml
customDetails:
EventStartTime: EventStartTime
EventEndTime: EventEndTime
DstPortNumber: DstPortNumber
EventCount: EventCount
HttpUserAgent: HttpUserAgent
entityMappings:
- entityType: URL
fieldMappings:
- identifier: Url
columnName: Url
- entityType: IP
fieldMappings:
- identifier: Address
columnName: SrcIpAddr
- entityType: IP
fieldMappings:
- identifier: Address
columnName: DstIpAddr
- entityType: Account
fieldMappings:
- identifier: Name
columnName: Name
- identifier: UPNSuffix
columnName: UPNSuffix
- entityType: Host
fieldMappings:
- identifier: HostName
columnName: SrcHostname
triggerThreshold: 0
kind: Scheduled
tags:
- SchemaVersion: 0.2.6
Schema: WebSession
status: Available
relevantTechniques:
- T1190
- T1133
name: Detect presence of uncommon user agents in web requests (ASIM Web Session)
severity: Medium
requiredDataConnectors: []
queryFrequency: 1h