BEC/Fraud: Urgent language and suspicious sending/infrastructure patterns

type.inbound
and 3 of (
  // urgent subjects
  strings.ilike(subject.subject, '*quick question*'),
  strings.ilike(subject.subject, '*urgent*request*'),
  strings.ilike(subject.subject, '*are you available*'),
  strings.ilike(subject.subject, '*need assistance*'),
  strings.ilike(subject.subject, '*help*needed*'),
  regex.icontains(subject.subject, 'favor\b'),
  strings.ilike(subject.subject, '*checking in*'),
  strings.ilike(subject.subject, '*awaiting*response*'),
  strings.ilike(subject.subject, '*catch*up*'),

  // BEC body patterns
  strings.ilike(body.current_thread.text, '*sorry to bother*'),
  strings.ilike(body.current_thread.text, '*are you busy*'),
  strings.ilike(body.current_thread.text, '*can you help*'),
  strings.ilike(body.current_thread.text, '*do you have a moment*'),
  strings.ilike(body.current_thread.text, '*please respond*asap*'),
  strings.ilike(subject.subject, '*quick question*'),

  // brand name
  regex.icontains(body.current_thread.text, 'a\s?m\s?a\s?z\s?[o0]\s?n'), // Catches "Amaz on", "Amazon", etc.
  regex.icontains(body.current_thread.text, 'p\s?a\s?y\s?p\s?a\s?l'),
  regex.icontains(body.current_thread.text, 'a\s?p\s?p\s?l\s?e'),

  // short body
  length(body.current_thread.text) < 200,
  strings.count(body.current_thread.text, ' ') < 30
)
and 3 of (
  // suspicious sender
  sender.email.domain.root_domain in $free_email_providers,
  network.whois(sender.email.domain).days_old < 30,

  // suspicious recipient pattern
  any(recipients.to, strings.ilike(.display_name, 'undisclosed?recipients')),
  length(recipients.to) <= 1, // Single or 0 recipients

  // header checks
  strings.starts_with(headers.mailer, 'Open-Xchange Mailer'),
  strings.ilike(headers.x_originating_ip.ip, '*.*.*.0'), // Common in some BEC campaigns
  // deifferent reply-to address
  (
    length(headers.reply_to) > 0
    and sender.email.email not in map(headers.reply_to, .email.email)
  ),
  // sender display name is part of the subject
  strings.icontains(subject.subject, sender.display_name),
)
and profile.by_sender_email().prevalence not in ("common")