Detection rules › Kusto
Brute force attack against an Entra-authenticated Windows device
Identifies evidence of brute force activity against Windows devices authenticated via Entra ID (including Entra-joined, hybrid-joined, and Windows 365 Cloud PCs) by detecting multiple authentication failures followed by a successful authentication within a defined time window.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access |
Telemetry coverage
| Platform | Record / event type |
|---|---|
| Entra ID | SigninLogs sign-in event: Sign-in naming a target application |
Rule body
id: 3fbc20a4-04c4-464e-8fcb-6667f53e4987
name: Brute force attack against an Entra-authenticated Windows device
description: |
'Identifies evidence of brute force activity against Windows devices authenticated via Entra ID (including Entra-joined, hybrid-joined, and Windows 365 Cloud PCs) by detecting multiple authentication failures followed by a successful authentication within a defined time window.'
severity: Medium
requiredDataConnectors:
- connectorId: AzureActiveDirectory
dataTypes:
- SigninLogs
queryFrequency: 1d
queryPeriod: 1d
triggerOperator: gt
triggerThreshold: 0
status: Available
tactics:
- CredentialAccess
relevantTechniques:
- T1110
query: |
let authenticationWindow = 20m;
let sensitivity = 2.5;
SigninLogs
| where AppDisplayName =~ "Windows Sign In"
| extend FailureOrSuccess = iff(ResultType in ("0", "50125", "50140", "70043", "70044"), "Success", "Failure")
| summarize FailureCount = countif(FailureOrSuccess=="Failure"), SuccessCount = countif(FailureOrSuccess=="Success"), IPAddresses = make_set(IPAddress,1000)
by bin(TimeGenerated, authenticationWindow), UserDisplayName, UserPrincipalName
| extend FailureSuccessDiff = FailureCount - SuccessCount
| where FailureSuccessDiff > 0
| sort by UserPrincipalName asc, TimeGenerated asc
| serialize
| summarize Diff = make_list(FailureSuccessDiff, 10000), TimeStamp = make_list(TimeGenerated, 10000) by UserDisplayName, UserPrincipalName//, tostring(IPAddresses)
| extend (Anomalies, Score, Baseline) = series_decompose_anomalies(Diff, sensitivity, -1, 'linefit')
| mv-expand Diff to typeof(double), TimeStamp to typeof(datetime), Anomalies to typeof(double), Score to typeof(double), Baseline to typeof(long)
| where Anomalies > 0
| summarize by UserDisplayName, UserPrincipalName, Anomalies, Score, Baseline, FailureToSuccessDiff = Diff
| join kind=leftouter (
SigninLogs
| where AppDisplayName =~ "Windows Sign In"
| extend OS = DeviceDetail.operatingSystem, Browser = DeviceDetail.browser
| extend StatusCode = tostring(Status.errorCode), StatusDetails = tostring(Status.additionalDetails)
| extend State = tostring(LocationDetails.state), City = tostring(LocationDetails.city)
| summarize StartTime = min(TimeGenerated),
EndTime = max(TimeGenerated),
IPAddresses = make_set(IPAddress,100),
OS = make_set(OS,20),
Browser = make_set(Browser,20),
City = make_set(City,100),
ResultType = make_set(ResultType,100)
by UserDisplayName, UserPrincipalName, UserId, AppDisplayName
) on UserDisplayName, UserPrincipalName
| project-away UserDisplayName1, UserPrincipalName1
| extend IPAddressFirst = tostring(IPAddresses[0])
| extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])
entityMappings:
- entityType: Account
fieldMappings:
- identifier: FullName
columnName: UserPrincipalName
- identifier: Name
columnName: Name
- identifier: UPNSuffix
columnName: UPNSuffix
- entityType: Account
fieldMappings:
- identifier: AadUserId
columnName: UserId
- entityType: IP
fieldMappings:
- identifier: Address
columnName: IPAddressFirst
version: 2.0.3
kind: Scheduled
Stages and Predicates
Parameters
let authenticationWindow = 20m;
let sensitivity = 2.5;
Stage 1: source
SigninLogs
Stage 2: where
| where AppDisplayName =~ "Windows Sign In"
Stage 3: extend
| extend FailureOrSuccess = iff(ResultType in ("0", "50125", "50140", "70043", "70044"), "Success", "Failure")
FailureOrSuccess =if
ResultType in (0, 50125, 50140, 70043, 70044)"Success"else
"Failure"Stage 4: summarize
| summarize FailureCount = countif(FailureOrSuccess=="Failure"), SuccessCount = countif(FailureOrSuccess=="Success"), IPAddresses = make_set(IPAddress,1000)
by bin(TimeGenerated, authenticationWindow), UserDisplayName, UserPrincipalName
Stage 5: extend
| extend FailureSuccessDiff = FailureCount - SuccessCount
Stage 6: where
| where FailureSuccessDiff > 0
Stage 7: sort
| sort by UserPrincipalName asc, TimeGenerated asc
Stage 8: kusto:serialize
| serialize
Stage 9: summarize
| summarize Diff = make_list(FailureSuccessDiff, 10000), TimeStamp = make_list(TimeGenerated, 10000) by UserDisplayName, UserPrincipalName
The stages below score time-series anomalies (make-series, series_decompose_anomalies).
Stage 10: extend
| extend (Anomalies, Score, Baseline) = series_decompose_anomalies(Diff, sensitivity, -1, 'linefit')
Stage 11: mv-expand
| mv-expand Diff to typeof(double), TimeStamp to typeof(datetime), Anomalies to typeof(double), Score to typeof(double), Baseline to typeof(long)
Stage 12: where
| where Anomalies > 0
Stage 13: summarize
| summarize by UserDisplayName, UserPrincipalName, Anomalies, Score, Baseline, FailureToSuccessDiff = Diff
Stage 14: join
| join kind=leftouter (
SigninLogs
| where AppDisplayName =~ "Windows Sign In"
| extend OS = DeviceDetail.operatingSystem, Browser = DeviceDetail.browser
| extend StatusCode = tostring(Status.errorCode), StatusDetails = tostring(Status.additionalDetails)
| extend State = tostring(LocationDetails.state), City = tostring(LocationDetails.city)
| summarize StartTime = min(TimeGenerated),
EndTime = max(TimeGenerated),
IPAddresses = make_set(IPAddress,100),
OS = make_set(OS,20),
Browser = make_set(Browser,20),
City = make_set(City,100),
ResultType = make_set(ResultType,100)
by UserDisplayName, UserPrincipalName, UserId, AppDisplayName
) on UserDisplayName, UserPrincipalName
Stage 15: project-away
| project-away UserDisplayName1, UserPrincipalName1
Stage 16: extend
| extend IPAddressFirst = tostring(IPAddresses[0])
Stage 17: extend
| extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])
Indicators
These rows show field, operator, and value matches.
| Field | Kind | Values | Search |
|---|---|---|---|
Anomalies | gt |
| field:"Anomalies" kind:gt value:"0" |
AppDisplayName | eq |
| field:"Application" kind:eq value:"Windows Sign In" |
FailureSuccessDiff | gt |
| field:"FailureSuccessDiff" kind:gt value:"0" |
Output fields
These fields are emitted when the rule matches.
| Field | Source |
|---|---|
Anomalies | summarize |
Baseline | summarize |
FailureToSuccessDiff | summarize |
Score | summarize |
UserDisplayName | summarize |
UserPrincipalName | summarize |
IPAddressFirst | extend |
Name | extend |
UPNSuffix | extend |