Link: Multistage Landing - Ludus Presentation

type.inbound
// only one link to Ludus
and length(distinct(filter(body.links,
                           .href_url.domain.root_domain in ("ludus.one")
                    ),
                    .href_url.url
           )
) == 1
and any(body.links,
        .href_url.domain.root_domain in ("ludus.one")
        and (
          any(ml.link_analysis(.).final_dom.links,
              .href_url.domain.root_domain != "ludus.com"
              // once we have additional responses, add # of slides == 1 logic
              and (
                .href_url.domain.tld in $suspicious_tlds
                or .href_url.domain.domain in $free_subdomain_hosts
                or .href_url.domain.root_domain in $free_subdomain_hosts
                // observed pattern in credential theft URLs
                or strings.ilike(.href_url.path,
                                 "*o365*",
                                 "*office365*",
                                 "*microsoft*"
                )
                // observed pattern in credential theft URLs
                or strings.ilike(.href_url.query_params,
                                 "*o365*",
                                 "*office365*",
                                 "*microsoft*"
                )
                // observed pattern in credential theft URLs
                or any(beta.scan_base64(.href_url.query_params),
                       strings.ilike(., "*o365*", "*office365*", "*microsoft*")
                )
                or ml.link_analysis(.href_url, mode="aggressive").credphish.disposition == "phishing"
                or ml.link_analysis(.href_url, mode="aggressive").credphish.contains_captcha
                or strings.icontains(ml.link_analysis(.href_url,
                                                      mode="aggressive"
                                     ).final_dom.display_text,
                                     "I'm Human"
                )
                // bails out to a well-known domain, seen in evasion attempts
                or (
                  length(ml.link_analysis(.href_url, mode="aggressive").redirect_history
                  ) > 0
                  and ml.link_analysis(.href_url, mode="aggressive").effective_url.domain.root_domain in $tranco_10k
                )
              )
          )
          // credential theft language on the main Scribd page
          or any(ml.nlu_classifier(beta.ocr(ml.link_analysis(.,
                                                             mode="aggressive"
                                            ).screenshot
                                   ).text
                 ).intents,
                 .name == "cred_theft" and .confidence != "low"
          )
        )
)
// 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
)