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Vectra AI Detect - Suspicious Behaviors by Category

Description

'Create an incident for each new malicious behavior detected by Vectra Detect for a specific Category. By default, it looks through all tactics. This can be modified to create incident only for a subset of tactics.'
Type de règle
Scheduled
Version
1.1.1
Statut déclaré
Available
Fréquence
5m
Période analysée
5m
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.

// Edit this variable to only keep the tactics where an incident needs to be created (Defaults are: "COMMAND & CONTROL", "BOTNET ACTIVITY", "EXFILTRATION", "LATERAL MOVEMENT", "RECONNAISSANCE")   
let configured_tactics = dynamic(["COMMAND & CONTROL", "BOTNET ACTIVITY", "EXFILTRATION", "LATERAL MOVEMENT", "RECONNAISSANCE"]);
CommonSecurityLog
| where DeviceVendor == "Vectra Networks"
| where DeviceProduct == "X Series"
| where DeviceEventClassID != "campaigns" and DeviceEventClassID != "hsc" and DeviceEventClassID != "audit" and DeviceEventClassID != "health" and DeviceEventClassID != "asc" 
| extend Category = coalesce(
                          column_ifexists("DeviceEventCategory", ""), 
                          extract("cat=(.+?)(;|$)", 1, AdditionalExtensions), 
                          ""
                      )
| project-rename threat_score = FlexNumber1
| project-rename certainty_score = FlexNumber2
| project-rename triaged = DeviceCustomString5
| where triaged != "True"
| project-rename vectra_URL = DeviceCustomString4
| project-rename detection_name = DeviceEventClassID
| extend Tactic = case( Category == "COMMAND & CONTROL", "CommandAndControl",
                        Category == "BOTNET ACTIVITY" , "Impact",
                        Category == "EXFILTRATION", "Exfiltration",
                        Category == "LATERAL MOVEMENT", "LateralMovement",
                        Category == "RECONNAISSANCE", "Discovery",
                        "UNKNOWN")
| extend level = case( threat_score <  50 and certainty_score < 50, "Low",
                       threat_score < 50 and certainty_score >= 50 , "Medium", 
                       threat_score >= 50 and certainty_score <= 50, "High", 
                       threat_score >= 50 and certainty_score >= 50, "Critical",
                       "UNKNOWN")
| extend Severity = case(level == "Info", "Informational",level == "Critical", "High", level)
| extend account = extract("account=(.+?);", 1, AdditionalExtensions)
| extend upn = iff(account matches regex ":", tostring(split(account,":")[1]) ,tostring(split(account,":")[0]))
| extend name = tostring(split(upn, "@")[0])
| extend upn_suffix = tostring(split(upn, "@")[1])
| extend source_entity = case(level == "Info", "Informational",level == "Critical", "High", level)
| where Category in (configured_tactics) 
| summarize arg_max(threat_score, *) by source_entity , Activity
| sort by TimeGenerated

Entités déclarées

HostAccount

Contenus associés

Liens établis à partir des identifiants déclarés et des manifests des solutions.

Traçabilité de la source

GitHub

Les valeurs affichées proviennent des fichiers du dépôt Azure/Azure-Sentinel. Elles décrivent le modèle publié, pas la configuration de votre workspace.

Identifiant source
6cb75f65-231f-46c4-a0b3-50ff21ee6ed3
Autres fichiers source 2Solutions/Vectra AI Detect/Analytic Rules/VectraDetect-Suspected-Behavior-by-Tactics.yamlsource ↗Solutions/Vectra AI Detect/Data/Solution_Vectra AI Detect.jsonsolution-membership ↗
GSTEP / SUIVI DU CATALOGUE

Ajouté au catalogue : 16 sept. 2026 · 05:49 UTC
Dernier changement observé : 16 sept. 2026 · 05:49 UTC

Dates de synchronisation GSTEP, distinctes des dates de publication du contenu source.