Brand impersonation: GitHub with callback scam indicators

type.inbound
and sender.email.email == 'noreply@github.com'
and length(attachments) == 0
and (
  any(ml.nlu_classifier(body.current_thread.text).intents,
      .name == "callback_scam" and .confidence != "low"
  )
  or (
    regex.icontains(body.current_thread.text,
                    (
                      "mcafee
| n[o0]rt[o0]n
| geek.{0,5}squad
| paypal
| ebay
| symantec
| best buy
| lifel[o0]ck"
                    )
    )
    and (
      3 of (
        strings.ilike(body.current_thread.text, '*purchase*'),
        strings.ilike(body.current_thread.text, '*payment*'),
        strings.ilike(body.current_thread.text, '*transaction*'),
        strings.ilike(body.current_thread.text, '*subscription*'),
        strings.ilike(body.current_thread.text, '*antivirus*'),
        strings.ilike(body.current_thread.text, '*order*'),
        strings.ilike(body.current_thread.text, '*support*'),
        strings.ilike(body.current_thread.text, '*receipt*'),
        strings.ilike(body.current_thread.text, '*invoice*'),
        strings.ilike(body.current_thread.text, '*call*'),
        strings.ilike(body.current_thread.text, '*cancel*'),
        strings.ilike(body.current_thread.text, '*renew*'),
        strings.ilike(body.current_thread.text, '*refund*'),
        strings.ilike(body.current_thread.text, '*host key*')
      )
    )
    // phone number regex
    and any([body.current_thread.text, subject.subject],
            regex.icontains(.,
                            '\+?([ilo0-9]{1}.)?\(?[ilo0-9]{3}?\)?.[ilo0-9]{3}.?[ilo0-9]{4}',
                            '\+?([ilo0-9]{1,2})?\s?\(?\d{3}\)?[\s\.\-⋅]{0,5}[ilo0-9]{3}[\s\.\-⋅]{0,5}[ilo0-9]{4}'
            )
    )
  )
)