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sublimemediumRule
Brand impersonation: Binance
Impersonation of the cryptocurrency exchange Binance.
Detection Query
type.inbound
and (
strings.ilike(sender.display_name, '*binance*')
or strings.ilevenshtein(sender.display_name, 'binance') <= 1
or strings.ilike(sender.email.domain.domain, '*binance*')
or strings.ilike(subject.subject, '*binance*')
)
and sender.email.domain.root_domain not in~ (
'binance.com',
'binance.us',
'trustwallet.com',
'binance.charity'
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.text == "Binance"
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "financial"
)
and (
any(ml.nlu_classifier(body.current_thread.text).entities, .name == "urgency")
or any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "request"
)
)
and (
any(ml.nlu_classifier(body.current_thread.text).entities,
.text in~ ("withdrawal", "deposit")
)
or any(ml.nlu_classifier(body.current_thread.text).intents, .name != "benign")
)
and (
// if this comes from a free email provider,
// flag if org has never sent an email to sender's email before
(
sender.email.domain.root_domain in $free_email_providers
and sender.email.email not in $recipient_emails
)
// if this comes from a custom domain,
// flag if org has never sent an email to sender's domain before
or (
sender.email.domain.root_domain not in $free_email_providers
and sender.email.domain.domain not in $recipient_domains
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Tags
Cryptocurrency
Raw Content
name: "Brand impersonation: Binance"
description: |
Impersonation of the cryptocurrency exchange Binance.
type: "rule"
severity: "medium"
source: |
type.inbound
and (
strings.ilike(sender.display_name, '*binance*')
or strings.ilevenshtein(sender.display_name, 'binance') <= 1
or strings.ilike(sender.email.domain.domain, '*binance*')
or strings.ilike(subject.subject, '*binance*')
)
and sender.email.domain.root_domain not in~ (
'binance.com',
'binance.us',
'trustwallet.com',
'binance.charity'
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.text == "Binance"
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "financial"
)
and (
any(ml.nlu_classifier(body.current_thread.text).entities, .name == "urgency")
or any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "request"
)
)
and (
any(ml.nlu_classifier(body.current_thread.text).entities,
.text in~ ("withdrawal", "deposit")
)
or any(ml.nlu_classifier(body.current_thread.text).intents, .name != "benign")
)
and (
// if this comes from a free email provider,
// flag if org has never sent an email to sender's email before
(
sender.email.domain.root_domain in $free_email_providers
and sender.email.email not in $recipient_emails
)
// if this comes from a custom domain,
// flag if org has never sent an email to sender's domain before
or (
sender.email.domain.root_domain not in $free_email_providers
and sender.email.domain.domain not in $recipient_domains
)
)
tags:
- "Cryptocurrency"
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Impersonation: Brand"
- "Lookalike domain"
- "Social engineering"
detection_methods:
- "Content analysis"
- "Header analysis"
- "HTML analysis"
- "Natural Language Understanding"
- "Sender analysis"
id: "c3302a76-ff5f-5619-b806-2bfec382f588"