let LookBack = 1h;
let Data = (
SigninLogs
| where TimeGenerated >= ago(LookBack)
| where parse_json(NetworkLocationDetails)[0].networkType != "trustedNamedLocation" // Excludes known tagged networks
// Counts the number of sign in events in the last hour every 15 minutes by IP
| make-series EventCounts = count() on TimeGenerated from ago(LookBack) to now() step 15m by IPAddress
);
let AnomalyAlert = (
Data
| extend (Anomalies, Score, Baseline) = series_decompose_anomalies(EventCounts,1.5,-1,'linefit')
| mv-expand EventCounts,TimeGenerated,Anomalies to typeof(double),Baseline to typeof(long),Score to typeof(double)
| where Anomalies > 0
);
AnomalyAlert
| join kind = inner (SigninLogs
| where TimeGenerated between (ago(LookBack) .. now())
| where parse_json(NetworkLocationDetails)[0].networkType != "trustedNamedLocation"
| extend PasswordResult = tostring(parse_json(AuthenticationDetails).authenticationStepResultDetail)
| summarize UserCount = dcount(UserPrincipalName), UserList = make_set(UserPrincipalName), AppName = make_set(AppDisplayName), PasswordResult = make_list(PasswordResult) by IPAddress) on IPAddress
| where PasswordResult has "Correct Password"
| where UserCount > 1 // looks for events targeting more than one user.
triggerThreshold: 0
entityMappings:
- entityType: IP
fieldMappings:
- identifier: Address
columnName: IPAddress
requiredDataConnectors:
- dataTypes:
- SigninLogs
connectorId: AzureActiveDirectory
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Detections/Anomalies/SignInAnomaly.yaml
customDetails:
PasswordResult: PasswordResult
UserCount: UserCount
Baseline: Baseline
AppName: AppName
Score: Score
UserList: UserList
name: Anomaly Sign In Event from an IP
relevantTechniques:
- T1078
query: |
let LookBack = 1h;
let Data = (
SigninLogs
| where TimeGenerated >= ago(LookBack)
| where parse_json(NetworkLocationDetails)[0].networkType != "trustedNamedLocation" // Excludes known tagged networks
// Counts the number of sign in events in the last hour every 15 minutes by IP
| make-series EventCounts = count() on TimeGenerated from ago(LookBack) to now() step 15m by IPAddress
);
let AnomalyAlert = (
Data
| extend (Anomalies, Score, Baseline) = series_decompose_anomalies(EventCounts,1.5,-1,'linefit')
| mv-expand EventCounts,TimeGenerated,Anomalies to typeof(double),Baseline to typeof(long),Score to typeof(double)
| where Anomalies > 0
);
AnomalyAlert
| join kind = inner (SigninLogs
| where TimeGenerated between (ago(LookBack) .. now())
| where parse_json(NetworkLocationDetails)[0].networkType != "trustedNamedLocation"
| extend PasswordResult = tostring(parse_json(AuthenticationDetails).authenticationStepResultDetail)
| summarize UserCount = dcount(UserPrincipalName), UserList = make_set(UserPrincipalName), AppName = make_set(AppDisplayName), PasswordResult = make_list(PasswordResult) by IPAddress) on IPAddress
| where PasswordResult has "Correct Password"
| where UserCount > 1 // looks for events targeting more than one user.
version: 1.0.1
queryPeriod: 1h
kind: Scheduled
id: 9c1e9381-79dd-4ddf-9570-b73a1dc59fe0
description: |
'Identifies sign-in anomalies from an IP in the last hour, targeting multiple users where the password is correct after multiple attempts'
queryFrequency: 1h
severity: Medium
triggerOperator: gt
tactics:
- InitialAccess
metadata:
source:
kind: Community
categories:
domains:
- Identity
support:
tier: Community
author:
name: Juanse