Vectra Accounts Behaviors

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Id	ce54b5d3-4c31-4eaf-a73e-31412270b6ab
Rulename	Vectra Account’s Behaviors
Description	This analytic rule is looking for new attacker behaviors observed by the Vectra Platform. This rule is focused on account’s detections.
Severity	Informational
Tactics	CredentialAccess Discovery LateralMovement Collection CommandAndControl Exfiltration Impact
Techniques	T1003 T1087 T1021 T1119 T1071 T1041 T1499
Required data connectors	CefAma
Kind	Scheduled
Query frequency	5m
Query period	5m
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra AI Detect/Analytic Rules/VectraDetect-Account-Detections.yaml
Version	1.0.5
Arm template	ce54b5d3-4c31-4eaf-a73e-31412270b6ab.json

KQL

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 vectra_URL = DeviceCustomString4
| project-rename detection_name = DeviceEventClassID
| project-rename triaged = DeviceCustomString5
| where triaged != "True" and AdditionalExtensions contains "account"
| 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(isnotempty(upn), upn,
    isnotempty(SourceHostName), SourceHostName,
    "UNKNWON")
| extend level = case(threat_score == 0 and certainty_score == 0, "Info",
    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)
| summarize arg_max(threat_score, *) by source_entity, Activity
| sort by TimeGenerated

YAML

customDetails:
  AttackCategory: Category
  AttackType: Activity
description: |
    'This analytic rule is looking for new attacker behaviors observed by the Vectra Platform. This rule is focused on account's detections.'
triggerThreshold: 0
eventGroupingSettings:
  aggregationKind: AlertPerResult
alertDetailsOverride:
  alertDisplayNameFormat: Vectra AI - {{Activity}} Detected
  alertDynamicProperties:
  - value: vectra_URL
    alertProperty: AlertLink
  - value: DeviceProduct
    alertProperty: ProductName
  - value: DeviceVendor
    alertProperty: ProviderName
  - value: certainty_score
    alertProperty: ConfidenceScore
  alertDescriptionFormat: |
        Entity is an account. Category is {{Category}}. Threat score is {{threat_score}} and certainty score is {{certainty_score}}.
  alertSeverityColumnName: Severity
queryPeriod: 5m
triggerOperator: gt
kind: Scheduled
relevantTechniques:
- T1003
- T1087
- T1021
- T1119
- T1071
- T1041
- T1499
query: |
  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 vectra_URL = DeviceCustomString4
  | project-rename detection_name = DeviceEventClassID
  | project-rename triaged = DeviceCustomString5
  | where triaged != "True" and AdditionalExtensions contains "account"
  | 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(isnotempty(upn), upn,
      isnotempty(SourceHostName), SourceHostName,
      "UNKNWON")
  | extend level = case(threat_score == 0 and certainty_score == 0, "Info",
      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)
  | summarize arg_max(threat_score, *) by source_entity, Activity
  | sort by TimeGenerated  
queryFrequency: 5m
requiredDataConnectors:
- connectorId: CefAma
  dataTypes:
  - CommonSecurityLog
name: Vectra Account's Behaviors
severity: Informational
entityMappings:
- fieldMappings:
  - identifier: Name
    columnName: name
  - identifier: UPNSuffix
    columnName: upn_suffix
  entityType: Account
version: 1.0.5
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Vectra AI Detect/Analytic Rules/VectraDetect-Account-Detections.yaml
status: Available
id: ce54b5d3-4c31-4eaf-a73e-31412270b6ab
tactics:
- CredentialAccess
- Discovery
- LateralMovement
- Collection
- CommandAndControl
- Exfiltration
- Impact

ARM