sublimemediumRule

Service abuse: Notion free-tier account impersonating VIP

Detects messages sent from Notion's legitimate notification address (notify@mail.notion.so) that pass SPF and DMARC checks, but where the sender's display name matches an internal VIP, and the embedded links resolve to a Notion workspace associated with a free-tier subscription. This pattern indicates abuse of Notion's free tier to craft convincing internal impersonation lures.

MITRE ATT&CK

T1566 T1566.001 T1566.002 T1598 T1534

initial-access

Detection Query

type.inbound
and sender.email.email == 'notify@mail.notion.so'
// from VIP
and any($org_vips, strings.icontains(sender.display_name, .display_name))
and any(body.current_thread.links,
        any(ml.link_analysis(.).additional_responses,
            .json['statsigUser']['custom']['spaceSubscriptionTier'] == 'free'
        )
)

Data Sources

Email MessagesEmail HeadersEmail Attachments

Platforms

Tags

Attack surface reduction

Raw Content

name: "Service abuse: Notion free-tier account impersonating VIP"
description: "Detects messages sent from Notion's legitimate notification address (notify@mail.notion.so) that pass SPF and DMARC checks, but where the sender's display name matches an internal VIP, and the embedded links resolve to a Notion workspace associated with a free-tier subscription. This pattern indicates abuse of Notion's free tier to craft convincing internal impersonation lures."
type: "rule"
severity: "medium"
source: |
  type.inbound
  and sender.email.email == 'notify@mail.notion.so'
  // from VIP
  and any($org_vips, strings.icontains(sender.display_name, .display_name))
  and any(body.current_thread.links,
          any(ml.link_analysis(.).additional_responses,
              .json['statsigUser']['custom']['spaceSubscriptionTier'] == 'free'
          )
  )
tags:
  - "Attack surface reduction"
attack_types:
  - "Credential Phishing"
tactics_and_techniques:
  - "Impersonation: VIP"
  - "Social engineering"
detection_methods:
  - "Sender analysis"
  - "Header analysis"
  - "URL analysis"
  - "Content analysis"
id: "966562cb-78b2-5844-a200-d12321df4472"