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sublimemediumRule

Service abuse: Elastic alerts extortion

Detects inbound messages impersonating Elastic alerts sender that contain extortion content identified through natural language processing with medium to high confidence.

MITRE ATT&CK

initial-access

Detection Query

type.inbound
and sender.email.email == "noreply@alerts.elastic.co"
and any(ml.nlu_classifier(body.current_thread.text).intents,
        .name == "extortion" and .confidence != "low"
)

Data Sources

Email MessagesEmail HeadersEmail Attachments

Platforms

email
Raw Content
name: "Service abuse: Elastic alerts extortion"
description: "Detects inbound messages impersonating Elastic alerts sender that contain extortion content identified through natural language processing with medium to high confidence."
type: "rule"
severity: "medium"
source: |
  type.inbound
  and sender.email.email == "noreply@alerts.elastic.co"
  and any(ml.nlu_classifier(body.current_thread.text).intents,
          .name == "extortion" and .confidence != "low"
  )
attack_types:
  - "Extortion"
tactics_and_techniques:
  - "Impersonation: Brand"
  - "Social engineering"
detection_methods:
  - "Natural Language Understanding"
  - "Sender analysis"
id: "c8d9c249-0894-5c17-8089-a4db7a02d9d9"