Brand Impersonation: Disney

Severity: medium
Type: rule
Source: github.com/sublime-security/sublime-rules

Detects messages from senders impersonating Disney through display name spoofing or brand logo usage, combined with security-themed content and suspicious authentication patterns.

Threat classification

Sublime's own taxonomy (not MITRE ATT&CK).

Category	Values
Attack types	Credential Phishing
Tactics and techniques	Impersonation: Brand, Social engineering

Event coverage

Message attribute
body.current_thread
headers.auth_summary
sender
sender.email
type

Rule body MQL

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
)

Detection logic

Scope: inbound message.

Detects messages from senders impersonating Disney through display name spoofing or brand logo usage, combined with security-themed content and suspicious authentication patterns.

inbound message
any of:
- all of:
  - strings.replace_confusables(sender.display_name) matches '*disney*'
  - not:
    
    strings.replace_confusables(sender.display_name) matches '*disney springs*'
- strings.replace_confusables(sender.display_name) is similar to 'disney'
- any of ml.logo_detect(file.message_screenshot()).brands where all hold:
  - .name is 'Disney'
  - .confidence is 'high'
any of:
- all of:
  - any of ml.nlu_classifier(body.current_thread.text).topics where all hold:
    
    .name in ('Security and Authentication', 'Secure Message', 'Reminders and Notifications')
    .confidence in ('medium', 'high')
  - not:
    
    any of ml.nlu_classifier(body.current_thread.text).topics where all hold:
    
    .name in ('Newsletters and Digests', 'Entertainment and Sports')
    .confidence in ('medium', 'high')
- all of:
  - any of ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics where all hold:
    
    .name in ('Security and Authentication', 'Secure Message', 'Reminders and Notifications')
    all of:
    
    .confidence in ('medium', 'high')
    beta.ocr(file.message_screenshot()).text is not ''
  - not:
    
    any of ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics where all hold:
    
    .name in ('Newsletters and Digests', 'Entertainment and Sports')
    .confidence in ('medium', 'high')
- any of ml.nlu_classifier(body.current_thread.text).intents where all hold:
  - .name is 'cred_theft'
  - .confidence is 'high'
- any of ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents where all hold:
  - .name is 'cred_theft'
  - .confidence is 'high'
none of:
- sender.email.domain.root_domain in $org_domains
- all of:
  - 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', 'disneyvacationclub.com', 'twdc.com', 'disneyrewards.com', 'disneystore.com', 'disneyworld.com')
  - headers.auth_summary.dmarc.pass
any of:
- all of:
  - sender.email.domain.root_domain in $high_trust_sender_root_domains
  - not:
    
    headers.auth_summary.dmarc.pass
- sender.email.domain.root_domain not in $high_trust_sender_root_domains
any of:
- not:
  - profile.by_sender().solicited
- not:
  - headers.auth_summary.dmarc.pass
- not:
  - headers.auth_summary.spf.pass

Inspects: body.current_thread.text, headers.auth_summary.dmarc.pass, headers.auth_summary.spf.pass, sender.display_name, sender.email.domain.root_domain, type.inbound. Sensors: beta.ocr, file.message_screenshot, ml.logo_detect, ml.nlu_classifier, profile.by_sender, strings.ilevenshtein, strings.ilike, strings.replace_confusables. Reference lists: $high_trust_sender_root_domains, $org_domains.

Indicators matched (74)

Field	Match	Value
`strings.ilike`	substring	`disney`
`strings.ilike`	substring	`disney springs`
`strings.ilevenshtein`	fuzzy	`disney`
`ml.logo_detect(file.message_screenshot()).brands[].name`	equals	`Disney`
`ml.logo_detect(file.message_screenshot()).brands[].confidence`	equals	`high`
`ml.nlu_classifier(body.current_thread.text).topics[].name`	member	`Security and Authentication`
`ml.nlu_classifier(body.current_thread.text).topics[].name`	member	`Secure Message`
`ml.nlu_classifier(body.current_thread.text).topics[].name`	member	`Reminders and Notifications`
`ml.nlu_classifier(body.current_thread.text).topics[].confidence`	member	`medium`
`ml.nlu_classifier(body.current_thread.text).topics[].confidence`	member	`high`
`ml.nlu_classifier(body.current_thread.text).topics[].name`	member	`Newsletters and Digests`
`ml.nlu_classifier(body.current_thread.text).topics[].name`	member	`Entertainment and Sports`

62 more

`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].name`	member	`Security and Authentication`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].name`	member	`Secure Message`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].name`	member	`Reminders and Notifications`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].confidence`	member	`medium`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].confidence`	member	`high`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].name`	member	`Newsletters and Digests`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics[].name`	member	`Entertainment and Sports`
`ml.nlu_classifier(body.current_thread.text).intents[].name`	equals	`cred_theft`
`ml.nlu_classifier(body.current_thread.text).intents[].confidence`	equals	`high`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents[].name`	equals	`cred_theft`
`ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents[].confidence`	equals	`high`
`sender.email.domain.root_domain`	member	`disney.asia`
`sender.email.domain.root_domain`	member	`disney.be`
`sender.email.domain.root_domain`	member	`disney.bg`
`sender.email.domain.root_domain`	member	`disney.ca`
`sender.email.domain.root_domain`	member	`disney.ch`
`sender.email.domain.root_domain`	member	`disney.co.il`
`sender.email.domain.root_domain`	member	`disney.co.jp`
`sender.email.domain.root_domain`	member	`disney.co.kr`
`sender.email.domain.root_domain`	member	`disney.co.th`
`sender.email.domain.root_domain`	member	`disney.co.uk`
`sender.email.domain.root_domain`	member	`disney.co.za`
`sender.email.domain.root_domain`	member	`disney.com`
`sender.email.domain.root_domain`	member	`disney.com.au`
`sender.email.domain.root_domain`	member	`disney.com.br`
`sender.email.domain.root_domain`	member	`disney.com.hk`
`sender.email.domain.root_domain`	member	`disney.com.tw`
`sender.email.domain.root_domain`	member	`disney.cz`
`sender.email.domain.root_domain`	member	`disney.de`
`sender.email.domain.root_domain`	member	`disney.dk`
`sender.email.domain.root_domain`	member	`disney.es`
`sender.email.domain.root_domain`	member	`disney.fi`
`sender.email.domain.root_domain`	member	`disney.fr`
`sender.email.domain.root_domain`	member	`disney.gr`
`sender.email.domain.root_domain`	member	`disney.hu`
`sender.email.domain.root_domain`	member	`disney.id`
`sender.email.domain.root_domain`	member	`disney.in`
`sender.email.domain.root_domain`	member	`disney.io`
`sender.email.domain.root_domain`	member	`disney.it`
`sender.email.domain.root_domain`	member	`disney.my`
`sender.email.domain.root_domain`	member	`disney.nl`
`sender.email.domain.root_domain`	member	`disney.no`
`sender.email.domain.root_domain`	member	`disney.ph`
`sender.email.domain.root_domain`	member	`disney.pl`
`sender.email.domain.root_domain`	member	`disney.pt`
`sender.email.domain.root_domain`	member	`disney.ro`
`sender.email.domain.root_domain`	member	`disney.ru`
`sender.email.domain.root_domain`	member	`disney.se`
`sender.email.domain.root_domain`	member	`disney.sg`
`sender.email.domain.root_domain`	member	`disneysurveys.com`
`sender.email.domain.root_domain`	member	`disneyonline.com`
`sender.email.domain.root_domain`	member	`disneyaccount.com`
`sender.email.domain.root_domain`	member	`disneyadvertising.com`
`sender.email.domain.root_domain`	member	`disneydestinations.com`
`sender.email.domain.root_domain`	member	`hulu.com`
`sender.email.domain.root_domain`	member	`hulumail.com`
`sender.email.domain.root_domain`	member	`canarytechnologies.com`
`sender.email.domain.root_domain`	member	`disneyvacationclub.com`
`sender.email.domain.root_domain`	member	`twdc.com`
`sender.email.domain.root_domain`	member	`disneyrewards.com`
`sender.email.domain.root_domain`	member	`disneystore.com`
`sender.email.domain.root_domain`	member	`disneyworld.com`

`j` / `k`	Scroll down / up
`d` / `u`	Half-page down / up
`gg` / `G`	Top / bottom
`h` / `l`	History back / forward
`f`	Follow link (`Shift` = new tab)
`/`	Focus search
`?`	Toggle this help
`↑` / `↓`	Navigate search results
`Enter`	Open highlighted result
`Esc`	Close results / dialog

`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)