Monitor Email For Brand Abuse


Description

The following analytic identifies emails claiming to be sent from a domain similar to one you are monitoring for potential abuse. It leverages email header data, specifically the sender's address, and cross-references it with a lookup table of known domain permutations generated by the "ESCU - DNSTwist Domain Names" search. This activity is significant as it can indicate phishing attempts or brand impersonation, which are common tactics used in social engineering attacks. If confirmed malicious, this could lead to unauthorized access, data theft, or reputational damage.

Query · spl

| tstats `security_content_summariesonly` values(All_Email.recipient) as recipients, min(_time) as firstTime, max(_time) as lastTime FROM datamodel=Email
  BY All_Email.src_user, All_Email.message_id
| `drop_dm_object_name("All_Email")`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| eval temp=split(src_user, "@")
| eval email_domain=mvindex(temp, 1)
| lookup update=true brandMonitoring_lookup domain as email_domain OUTPUT domain_abuse
| search domain_abuse=true
| table message_id, src_user, email_domain, recipients, firstTime, lastTime
| `monitor_email_for_brand_abuse_filter`

Implementation guide

You need to ingest email header data. Specifically the sender's address (src_user) must be populated. You also need to have run the search "ESCU - DNSTwist Domain Names", which creates the permutations of the domain that will be checked for.

Known false positives

  • No false positives have been identified at this time.

Analyst notes

Known false positives: No false positives have been identified at this time.

Raw source Monitor Email For Brand Abuse · SPL
Esc
Published by splunk/security_content ↗, licensed under Apache 2.0 ↗. Reproduced here unmodified.
name: Monitor Email For Brand Abuse
id: b2ea1f38-3a3e-4b8a-9cf1-82760d86a6b8
version: 11
creation_date: '2020-04-29'
modification_date: '2026-05-13'
author: David Dorsey, Splunk
status: experimental
type: TTP
description: The following analytic identifies emails claiming to be sent from a domain similar to one you are monitoring for potential abuse. It leverages email header data, specifically the sender's address, and cross-references it with a lookup table of known domain permutations generated by the "ESCU - DNSTwist Domain Names" search. This activity is significant as it can indicate phishing attempts or brand impersonation, which are common tactics used in social engineering attacks. If confirmed malicious, this could lead to unauthorized access, data theft, or reputational damage.
data_source: []
search: |-
    | tstats `security_content_summariesonly` values(All_Email.recipient) as recipients, min(_time) as firstTime, max(_time) as lastTime FROM datamodel=Email
      BY All_Email.src_user, All_Email.message_id
    | `drop_dm_object_name("All_Email")`
    | `security_content_ctime(firstTime)`
    | `security_content_ctime(lastTime)`
    | eval temp=split(src_user, "@")
    | eval email_domain=mvindex(temp, 1)
    | lookup update=true brandMonitoring_lookup domain as email_domain OUTPUT domain_abuse
    | search domain_abuse=true
    | table message_id, src_user, email_domain, recipients, firstTime, lastTime
    | `monitor_email_for_brand_abuse_filter`
how_to_implement: You need to ingest email header data. Specifically the sender's address (src_user) must be populated.  You also need to have run the search "ESCU - DNSTwist Domain Names", which creates the permutations of the domain that will be checked for.
known_false_positives: No false positives have been identified at this time.
references: []
finding:
    title: Possible Brand Abuse from $email_domain$
    entity:
        field: src_user
        type: user
        score: 50
analytic_story:
    - Brand Monitoring
    - Suspicious Emails
    - Scattered Lapsus$ Hunters
asset_type: Endpoint
mitre_attack_id: []
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: application
security_domain: network
baselines:
    - DNSTwist Domain Names

Detection rules belong to the projects that publish them and remain under their own licenses. This site indexes and links to them; it claims no rights in them.