↳ Source GitHubRègle analytiqueHigh
Privileged Accounts - Sign in Failure Spikes
Description
' Identifies spike in failed sign-ins from Privileged accounts. Privileged accounts list can be based on IdentityInfo UEBA table.
Spike is determined based on Time series anomaly which will look at historical baseline values.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-privileged-accounts#things-to-monitor'
- Type de règle
- Scheduled
- Version
- 1.1.1
- Statut déclaré
- Available
- Fréquence
- 1d
- Période analysée
- 14d
- Déclenchement
- gt 0
Couverture MITRE déclarée
Sources déclarées
Métadonnées du fichier source. Aucune dépendance déduite du KQL.
Connecteurs
Types de données
Requête KQL
Requête originale, sans modification.
let starttime = 14d;
let timeframe = 1d;
let scorethreshold = 3;
let baselinethreshold = 5;
let aadFunc = (tableName:string){
IdentityInfo
| where TimeGenerated > ago(starttime)
| summarize arg_max(TimeGenerated, *) by AccountUPN
| mv-expand AssignedRoles
| where AssignedRoles contains 'Admin' or GroupMembership has "Admin"
| summarize Roles = make_list(AssignedRoles) by AccountUPN = tolower(AccountUPN)
| join kind=inner (
table(tableName)
| where TimeGenerated between (startofday(ago(starttime))..startofday(now()))
| where ResultType != 0
| extend UserPrincipalName = tolower(UserPrincipalName)
) on $left.AccountUPN == $right.UserPrincipalName
| extend timestamp = TimeGenerated, AccountCustomEntity = UserPrincipalName, Roles = tostring(Roles)
};
let aadSignin = aadFunc("SigninLogs");
let aadNonInt = aadFunc("AADNonInteractiveUserSignInLogs");
let allSignins = union isfuzzy=true aadSignin, aadNonInt;
let TimeSeriesAlerts =
allSignins
| make-series HourlyCount=count() on TimeGenerated from startofday(ago(starttime)) to startofday(now()) step 1h by UserPrincipalName, Roles
| extend (anomalies, score, baseline) = series_decompose_anomalies(HourlyCount, scorethreshold, -1, 'linefit')
| mv-expand HourlyCount to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long)
// Filtering low count events per baselinethreshold
| where anomalies > 0 and baseline > baselinethreshold
| extend AnomalyHour = TimeGenerated
| project UserPrincipalName, Roles, AnomalyHour, TimeGenerated, HourlyCount, baseline, anomalies, score;
// Filter the alerts for specified timeframe
TimeSeriesAlerts
| where TimeGenerated > startofday(ago(timeframe))
| join kind=inner (
allSignins
| where TimeGenerated > startofday(ago(timeframe))
// create a new column and round to hour
| extend DateHour = bin(TimeGenerated, 1h)
| summarize PartialFailedSignins = count(), LatestAnomalyTime = arg_max(TimeGenerated, *) by bin(TimeGenerated, 1h), OperationName, Category, ResultType, ResultDescription, UserPrincipalName, Roles, UserDisplayName, AppDisplayName, ClientAppUsed, IPAddress, ResourceDisplayName
) on UserPrincipalName, $left.AnomalyHour == $right.DateHour
| project LatestAnomalyTime, OperationName, Category, UserPrincipalName, Roles = todynamic(Roles), UserDisplayName, ResultType, ResultDescription, AppDisplayName, ClientAppUsed, UserAgent, IPAddress, Location, AuthenticationRequirement, ConditionalAccessStatus, ResourceDisplayName, PartialFailedSignins, TotalFailedSignins = HourlyCount, baseline, anomalies, score
| extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])
Entités déclarées
Contenus associés
Liens établis à partir des identifiants déclarés et des manifests des solutions.
Traçabilité de la source
GitHubLes valeurs affichées proviennent des fichiers du dépôt Azure/Azure-Sentinel. Elles décrivent le modèle publié, pas la configuration de votre workspace.
- Commit
7ca9800↗- Identifiant source
34c5aff9-a8c2-4601-9654-c7e46342d03b
GSTEP / SUIVI DU CATALOGUE
Ajouté au catalogue : 16 sept. 2026 · 05:49 UTC
Dernier changement observé : 16 sept. 2026 · 05:49 UTC