Link: QR Code with suspicious language (untrusted sender)

type.inbound

// check image attachments for QR code, will want to add message.screenshot functionality here when it's ready
// and length(attachments) < 10
and any(attachments,
        (.file_type in $file_types_images or .file_type == "pdf")
        and any(file.explode(.),
                .scan.qr.type == "url"

                // recipient email address is present in the URL, a common tactic used in credential phishing attacks and the url is not in $org_domains
                and any(recipients.to,
                        strings.icontains(..scan.qr.data, .email.email) and .email.domain.valid
                )
                and .scan.qr.url.domain.root_domain not in $org_domains
        )
)

// NLU has identified cred_theft language with high confidence
and (
  any(ml.nlu_classifier(body.current_thread.text).intents,
      .name == "cred_theft" and .confidence == "high"
  )
  or 
  // the attachment contains suspicious strings
  (
    any(attachments,
        (.file_type in $file_types_images or .file_type == "pdf")
        and any(file.explode(.),
                any(.scan.strings.strings,
                    regex.icontains(.,
                                    '(\b2fa\b|\bQ.?R\.?\s?\b|MFA|Muti[ -]?Factor Auth(entication)?)'
                    )
                )
        )
    )
  )
)

and (
  profile.by_sender().prevalence in ("new", "outlier")
  or (
    profile.by_sender().any_messages_malicious_or_spam
    and not profile.by_sender().any_false_positives
  )
)

// 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
)