type.inbound
// we don't do a suspicious link check here
// because we are seeing abuse of mass marketing tools
// like campaign[.]adobe[.]com
// once we roll out better support for unfurling those,
// we can update this logic
and length(body.links) > 0
// commonly abused sender TLD
and strings.ilike(sender.email.domain.tld, "*.jp")
and 3 of (
// language attempting to engage
any(ml.nlu_classifier(body.current_thread.text).entities, .name == "request"),
// financial request
any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "financial"
),
// urgency request
any(ml.nlu_classifier(body.current_thread.text).entities, .name == "urgency"),
// known suspicious pattern in the URL path
any(body.links, regex.match(.href_url.path, '\/[a-z]{3}\d[a-z]')),
// suspicious image that's most likely cred_theft
any(attachments,
.file_type in $file_types_images
and any(file.explode(.),
any(ml.nlu_classifier(.scan.ocr.raw).intents,
.name == "cred_theft"
)
or any(ml.nlu_classifier(.scan.ocr.raw).entities,
.name == "financial"
)
)
),
// recipient's SLD is in the sender's display name
any(recipients.to,
strings.icontains(sender.display_name, .email.domain.sld)
and (
.email.domain.valid or strings.icontains(.display_name, "undisclosed")
)
),
// recipient's email address in the subject
any(recipients.to,
strings.icontains(subject.subject, .email.email)
and (
.email.domain.valid or strings.icontains(.display_name, "undisclosed")
)
),
)
and (
not profile.by_sender().solicited
or (
profile.by_sender().any_messages_malicious_or_spam
and not profile.by_sender().any_messages_benign
)
)
and not sender.email.domain.root_domain in ("amazon.co.jp")
// negate highly trusted sender domains unless they fail DMARC authentication
and (
(
sender.email.domain.root_domain in $high_trust_sender_root_domains
and not headers.auth_summary.dmarc.pass
)
or sender.email.domain.root_domain not in $high_trust_sender_root_domains
)
Playground
Test against your own EMLs or sample data.