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sublimemediumRule
Brand impersonation: United States Patent and Trademark Office
Detects messages impersonating the United States Patent and Trademark Office (USPTO) using display name variations, confusable characters, or USPTO-related terminology in the sender or subject.
Detection Query
type.inbound
and (
regex.icontains(strings.replace_confusables(coalesce(sender.display_name, '')),
'\buspto\b|patent and trademark office|Trademark Electronic Application System',
)
or strings.ilike(sender.email.domain.domain, '*uspto*')
)
and sender.email.domain.root_domain != 'uspto.gov'
and length(body.links) >= 1
and not any(ml.nlu_classifier(body.current_thread.text).topics,
.name in (
'Newsletters and Digests',
'Advertising and Promotions',
'Events and Webinars'
)
and .confidence == 'high'
)
and not (
sender.email.domain.root_domain in $high_trust_sender_root_domains
and coalesce(headers.auth_summary.dmarc.pass, false)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Brand impersonation: United States Patent and Trademark Office"
description: "Detects messages impersonating the United States Patent and Trademark Office (USPTO) using display name variations, confusable characters, or USPTO-related terminology in the sender or subject."
type: "rule"
severity: "medium"
source: |
type.inbound
and (
regex.icontains(strings.replace_confusables(coalesce(sender.display_name, '')),
'\buspto\b|patent and trademark office|Trademark Electronic Application System',
)
or strings.ilike(sender.email.domain.domain, '*uspto*')
)
and sender.email.domain.root_domain != 'uspto.gov'
and length(body.links) >= 1
and not any(ml.nlu_classifier(body.current_thread.text).topics,
.name in (
'Newsletters and Digests',
'Advertising and Promotions',
'Events and Webinars'
)
and .confidence == 'high'
)
and not (
sender.email.domain.root_domain in $high_trust_sender_root_domains
and coalesce(headers.auth_summary.dmarc.pass, false)
)
attack_types:
- "BEC/Fraud"
tactics_and_techniques:
- "Impersonation: Brand"
- "Social engineering"
detection_methods:
- "Content analysis"
- "Header analysis"
- "Natural Language Understanding"
- "Sender analysis"
- "URL analysis"
id: "96b2693c-4cae-5eb8-bb00-1d204f2f50c0"