← Back to Explore
sublimemediumRule
Impersonation: Employee name in subject with suspicious sender
Detects inbound messages where the sender is using a free email provider and their display name matches an known organizational display name. The sender's local part contains common organizational role keywords (mail, office, staff, executive), and the subject line matches the recipient's first name or display name, suggesting a targeted impersonation of an internal employee or executive.
Detection Query
type.inbound
// suspicious local part
and strings.contains(sender.email.local_part,
'mail',
'office',
'staff',
'executive'
)
and (mailbox.first_name == subject.base or mailbox.display_name == subject.base)
and strings.contains(sender.display_name, " ")
and sender.display_name in~ $org_display_names
and sender.email.domain.root_domain in $free_email_providers
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Impersonation: Employee name in subject with suspicious sender"
description: "Detects inbound messages where the sender is using a free email provider and their display name matches an known organizational display name. The sender's local part contains common organizational role keywords (mail, office, staff, executive), and the subject line matches the recipient's first name or display name, suggesting a targeted impersonation of an internal employee or executive."
type: "rule"
severity: "medium"
source: |
type.inbound
// suspicious local part
and strings.contains(sender.email.local_part,
'mail',
'office',
'staff',
'executive'
)
and (mailbox.first_name == subject.base or mailbox.display_name == subject.base)
and strings.contains(sender.display_name, " ")
and sender.display_name in~ $org_display_names
and sender.email.domain.root_domain in $free_email_providers
attack_types:
- "BEC/Fraud"
tactics_and_techniques:
- "Impersonation: Employee"
- "Impersonation: VIP"
- "Free email provider"
- "Social engineering"
- "Spoofing"
detection_methods:
- "Sender analysis"
- "Content analysis"
id: "bb0e78cc-e529-5bcc-b4af-524446e2c2ea"