CYFIRMA - Brand Intelligence - ExecutivePeople Impersonation High Rule
| Id | 159d26a1-591c-4f70-b1ca-2843c881aaec |
| Rulename | CYFIRMA - Brand Intelligence - Executive/People Impersonation High Rule |
| Description | “This rule detects potential impersonation of executive or high-profile individuals across digital platforms such as social media. Such impersonation can be used to mislead stakeholders, perform social engineering attacks, or cause reputational damage to the organization. Timely detection is crucial to assess risk and take down malicious profiles to protect brand and executive identity.” |
| Severity | High |
| Tactics | Reconnaissance ResourceDevelopment InitialAccess |
| Techniques | T1589.003 T1585.001 T1566.002 |
| Required data connectors | CyfirmaBrandIntelligenceAlertsDC |
| 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/Cyfirma Brand Intelligence/Analytic Rules/BIExecutivePeopleImpersonationHighRule.yaml |
| Version | 1.0.1 |
| Arm template | 159d26a1-591c-4f70-b1ca-2843c881aaec.json |
// High severity - Executive/People Impersonation
let timeFrame = 5m;
CyfirmaBIExecutivePeopleAlerts_CL
| where severity == 'Critical' and TimeGenerated between (ago(timeFrame) .. now())
| extend
Description=description,
FirstSeen=first_seen,
LastSeen=last_seen,
RiskScore=risk_score,
AlertUID=alert_uid,
UID=uid,
AssetType=asset_type,
AssetValue=asset_value,
Impact=impact,
Recommendation=recommendation,
PostedDate=posted_date,
ProviderName='CYFIRMA',
ProductName='DeCYFIR/DeTCT'
| project
TimeGenerated,
Description,
RiskScore,
FirstSeen,
LastSeen,
AlertUID,
UID,
AssetType,
AssetValue,
Impact,
Recommendation,
PostedDate,
ProductName,
ProviderName
queryPeriod: 5m
relevantTechniques:
- T1589.003
- T1585.001
- T1566.002
kind: Scheduled
query: |
// High severity - Executive/People Impersonation
let timeFrame = 5m;
CyfirmaBIExecutivePeopleAlerts_CL
| where severity == 'Critical' and TimeGenerated between (ago(timeFrame) .. now())
| extend
Description=description,
FirstSeen=first_seen,
LastSeen=last_seen,
RiskScore=risk_score,
AlertUID=alert_uid,
UID=uid,
AssetType=asset_type,
AssetValue=asset_value,
Impact=impact,
Recommendation=recommendation,
PostedDate=posted_date,
ProviderName='CYFIRMA',
ProductName='DeCYFIR/DeTCT'
| project
TimeGenerated,
Description,
RiskScore,
FirstSeen,
LastSeen,
AlertUID,
UID,
AssetType,
AssetValue,
Impact,
Recommendation,
PostedDate,
ProductName,
ProviderName
tactics:
- Reconnaissance
- ResourceDevelopment
- InitialAccess
queryFrequency: 5m
triggerOperator: gt
incidentConfiguration:
groupingConfiguration:
enabled: false
matchingMethod: AllEntities
lookbackDuration: PT5H
reopenClosedIncident: false
createIncident: true
eventGroupingSettings:
aggregationKind: AlertPerResult
alertDetailsOverride:
alertDisplayNameFormat: 'CYFIRMA - High Severity Alert - Executive Impersonation - Suspicious Social Media Account Detected - {{AssetValue}} '
alertDynamicProperties:
- alertProperty: ProductName
value: ProductName
- alertProperty: ProviderName
value: ProviderName
alertDescriptionFormat: '{{Description}} '
id: 159d26a1-591c-4f70-b1ca-2843c881aaec
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Cyfirma Brand Intelligence/Analytic Rules/BIExecutivePeopleImpersonationHighRule.yaml
version: 1.0.1
triggerThreshold: 0
customDetails:
PostedDate: PostedDate
FirstSeen: FirstSeen
UID: UID
RiskScore: RiskScore
AlertUID: AlertUID
Impact: Impact
AssetValue: AssetValue
Recommendation: Recommendation
LastSeen: LastSeen
TimeGenerated: TimeGenerated
AssetType: AssetType
Description: Description
status: Available
name: CYFIRMA - Brand Intelligence - Executive/People Impersonation High Rule
severity: High
requiredDataConnectors:
- dataTypes:
- CyfirmaBIExecutivePeopleAlerts_CL
connectorId: CyfirmaBrandIntelligenceAlertsDC
description: |
"This rule detects potential impersonation of executive or high-profile individuals across digital platforms such as social media.
Such impersonation can be used to mislead stakeholders, perform social engineering attacks, or cause reputational damage to the organization.
Timely detection is crucial to assess risk and take down malicious profiles to protect brand and executive identity."