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sublimemediumRule
Headers: System account impersonation with empty sender address
Detects messages with an empty sender email address and a display name impersonating system accounts like mailer-daemon, postmaster, or administrator, but lacking legitimate bounce back content as determined by natural language processing.
Detection Query
type.inbound
and sender.email.email == ""
and (
strings.icontains(sender.display_name, "mailer-daemon")
or strings.icontains(sender.display_name, "postmaster")
)
and not (
(
any(ml.nlu_classifier(body.current_thread.text).topics,
.name == "Bounce Back and Delivery Failure Notifications"
and .confidence == "high"
)
or regex.icontains(subject.subject, 'Undeliver(?:ed|able)')
or regex.icontains(subject.subject,
'Mensagem não entregue'
) // portuguese bounce back variant
or regex.icontains(subject.subject,
'系统退信'
) // chinese bounce back variant
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Headers: System account impersonation with empty sender address"
description: "Detects messages with an empty sender email address and a display name impersonating system accounts like mailer-daemon, postmaster, or administrator, but lacking legitimate bounce back content as determined by natural language processing."
type: "rule"
severity: "medium"
source: |
type.inbound
and sender.email.email == ""
and (
strings.icontains(sender.display_name, "mailer-daemon")
or strings.icontains(sender.display_name, "postmaster")
)
and not (
(
any(ml.nlu_classifier(body.current_thread.text).topics,
.name == "Bounce Back and Delivery Failure Notifications"
and .confidence == "high"
)
or regex.icontains(subject.subject, 'Undeliver(?:ed|able)')
or regex.icontains(subject.subject,
'Mensagem não entregue'
) // portuguese bounce back variant
or regex.icontains(subject.subject,
'系统退信'
) // chinese bounce back variant
)
)
attack_types:
- "BEC/Fraud"
- "Credential Phishing"
tactics_and_techniques:
- "Impersonation: Employee"
- "Social engineering"
- "Spoofing"
detection_methods:
- "Header analysis"
- "Sender analysis"
- "Natural Language Understanding"
id: "887f7953-9dbc-5582-a4b6-b5b79cce6744"