type.inbound
and any(ml.nlu_classifier(body.current_thread.text).intents,
.name in ("bec") and .confidence == "high"
)
// negating legit replies
and not (
(
(
subject.is_reply
or subject.is_forward
// out of office auto-reply
// the NLU model will handle these better natively soon
or strings.istarts_with(subject.subject, "Automatic reply:")
)
and (
length(headers.references) > 0
or headers.in_reply_to is not null
)
)
or (
// calendar invite responses
regex.icontains(subject.base, '(?:Accepted|Declined|New Time Proposed|Tentative):')
and any(attachments, .content_type == "text/calendar")
and profile.by_sender_email().solicited
)
)
and (
not profile.by_sender().solicited
or (
profile.by_sender().any_messages_malicious_or_spam
and not profile.by_sender().any_messages_benign
)
)
// 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.