CYFIRMA - Brand Intelligence - ExecutivePeople Impersonation Medium Rule
| Id | 59aa22f2-5b4f-4679-b289-003228255413 |
| Rulename | CYFIRMA - Brand Intelligence - Executive/People Impersonation Medium 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 | Medium |
| 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/BIExecutivePeopleImpersonationMediumRule.yaml |
| Version | 1.0.1 |
| Arm template | 59aa22f2-5b4f-4679-b289-003228255413.json |
// Medium severity - Executive/People Impersonation
let timeFrame = 5m;
CyfirmaBIExecutivePeopleAlerts_CL
| where severity == 'High' 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: |
// Medium severity - Executive/People Impersonation
let timeFrame = 5m;
CyfirmaBIExecutivePeopleAlerts_CL
| where severity == 'High' 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 - Medium Severity Alert - Executive Impersonation - Suspicious Social Media Account Detected - {{AssetValue}} '
alertDynamicProperties:
- alertProperty: ProductName
value: ProductName
- alertProperty: ProviderName
value: ProviderName
alertDescriptionFormat: '{{Description}} '
id: 59aa22f2-5b4f-4679-b289-003228255413
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Cyfirma Brand Intelligence/Analytic Rules/BIExecutivePeopleImpersonationMediumRule.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 Medium Rule
severity: Medium
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."