Brand impersonation: Survey request with credential theft indicators

type.inbound
and (
  any(ml.nlu_classifier(body.current_thread.text).intents,
      .name == "cred_theft" and .confidence == "high"
  )
  or any(ml.nlu_classifier(body.current_thread.text).entities,
         .name == "org"
         and (
           .text in ("AAA")
           or strings.icontains(.text,
                                'colgate',
                                'medicare kit',
                                'blackstone griddle',
                                'oral-b',
                                'united healthcare',
                                'dewalt tower tool box'
           )
         )
  )
  or any(ml.nlu_classifier(body.current_thread.text).entities,
         .name == "sender"
         and (
           strings.icontains(.text, "sam's club", "kobalt", "ace hardware")
           or regex.icontains(.text, "lowe\'s.{0,10}reward")
         )
  )
  or any(ml.nlu_classifier(body.current_thread.text).entities,
         .name == "request"
         and regex.icontains(.text, 'claim\s+your\s+(?:free|medical)?\s+kit')
  )
  or length(filter(ml.nlu_classifier(body.current_thread.text).entities,
                   .name == "financial"
                   and regex.icontains(.text, '\d{2}%\s*discount$')
            )
  ) >= 2
)
and any(ml.nlu_classifier(body.current_thread.text).topics,
        .name == "Advertising and Promotions" and .confidence != "low"
)
and any(ml.nlu_classifier(body.current_thread.text).entities,
        .name in ("request", "org")
        and strings.icontains(.text, "survey", "share\nyour feedback")
)
and not (
  sender.email.domain.root_domain in ("barracudanetworks.com")
  and coalesce(headers.auth_summary.dmarc.pass, false)
)
// and the sender is not from high trust sender root domains
and not (
  sender.email.domain.root_domain in $high_trust_sender_root_domains
  and coalesce(headers.auth_summary.dmarc.pass, false)
)