Brand Impersonation: Disney

name: "Brand Impersonation: Disney"
description: "Detects messages from senders impersonating Disney through display name spoofing or brand logo usage, combined with security-themed content and suspicious authentication patterns."
type: "rule"
severity: "medium"
source: |
  type.inbound
  and (
    // display name contains Disney
    (
      (
        strings.ilike(strings.replace_confusables(sender.display_name),
                      '*disney*'
        )
        and not strings.ilike(strings.replace_confusables(sender.display_name),
                              '*disney springs*'
        )
      )
      // levenshtein distance similar to Disney
      or strings.ilevenshtein(strings.replace_confusables(sender.display_name),
                              'disney'
      ) <= 1
      or any(ml.logo_detect(file.message_screenshot()).brands,
             .name == "Disney" and .confidence == "high"
      )
    )
  )
  and (
    (
      any(ml.nlu_classifier(body.current_thread.text).topics,
          .name in (
            "Security and Authentication",
            "Secure Message",
            "Reminders and Notifications"
          )
          and .confidence in ("medium", "high")
      )
      and not any(ml.nlu_classifier(body.current_thread.text).topics,
                  .name in ("Newsletters and Digests", "Entertainment and Sports")
                  and .confidence in ("medium", "high")
      )
    )
    or (
      any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics,
          .name in (
            "Security and Authentication",
            "Secure Message",
            "Reminders and Notifications"
          )
          and (
            .confidence in ("medium", "high")
            and beta.ocr(file.message_screenshot()).text != ""
          )
      )
      and not any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics,
                  .name in ("Newsletters and Digests", "Entertainment and Sports")
                  and .confidence in ("medium", "high")
      )
    )
    or any(ml.nlu_classifier(body.current_thread.text).intents,
           .name == "cred_theft" and .confidence == "high"
    )
    or any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents,
           .name == "cred_theft" and .confidence == "high"
    )
  )
  
  // and the sender is not in org_domains or from Disney domains and passes auth
  and not (
    sender.email.domain.root_domain in $org_domains
    or (
      // from https://github.com/v2fly/domain-list-community/blob/master/data/disney
      sender.email.domain.root_domain in (
        "disney.asia",
        "disney.be",
        "disney.bg",
        "disney.ca",
        "disney.ch",
        "disney.co.il",
        "disney.co.jp",
        "disney.co.kr",
        "disney.co.th",
        "disney.co.uk",
        "disney.co.za",
        "disney.com",
        "disney.com.au",
        "disney.com.br",
        "disney.com.hk",
        "disney.com.tw",
        "disney.cz",
        "disney.de",
        "disney.dk",
        "disney.es",
        "disney.fi",
        "disney.fr",
        "disney.gr",
        "disney.hu",
        "disney.id",
        "disney.in",
        "disney.io",
        "disney.it",
        "disney.my",
        "disney.nl",
        "disney.no",
        "disney.ph",
        "disney.pl",
        "disney.pt",
        "disney.ro",
        "disney.ru",
        "disney.se",
        "disney.sg",
        "disneysurveys.com",
        "disneyonline.com",
        "disneyaccount.com",
        "disneyadvertising.com",
        "disneydestinations.com",
        "hulu.com",
        "hulumail.com",
        "canarytechnologies.com", // domain used by a disney resort - hotel mgmt software company
        "disneyvacationclub.com",
        "twdc.com",
        "disneyrewards.com",
        "disneystore.com",
        "disneyworld.com"
      )
      and headers.auth_summary.dmarc.pass
    )
  )
  // and the sender is not from high trust sender root domains
  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
  )
  and (
    not profile.by_sender().solicited
    or not headers.auth_summary.dmarc.pass
    or not headers.auth_summary.spf.pass
  )
attack_types:
  - "Credential Phishing"
tactics_and_techniques:
  - "Impersonation: Brand"
  - "Social engineering"
detection_methods:
  - "Computer Vision"
  - "Natural Language Understanding"
  - "Content analysis"
  - "Header analysis"
  - "Sender analysis"
id: "bf90b8fb-3f6e-5831-9b3c-1d05b2a4a863"