Brand impersonation: Google Careers

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

Detects messages impersonating Google Careers or job opportunities in multiple languages that contain links to domains other than Google's legitimate domains, from senders not authenticated as Google.

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
body.current_thread
body.links (collection)
headers.auth_summary
sender.email
type

Rule body MQL

type.inbound
and (
  strings.icontains(body.current_thread.text, 'Google Careers')
  or strings.icontains(body.current_thread.text, 'GoogleCareers')
  // Spanish
  or strings.icontains(body.current_thread.text, 'Google Carreras')
  or strings.icontains(body.current_thread.text, 'GoogleCarreras')
  // German Norwegian
  or strings.icontains(body.current_thread.text, 'Google Karriere')
  or strings.icontains(body.current_thread.text, 'GoogleKarriere')
  // Swedish
  or strings.icontains(body.current_thread.text, 'Google Karriär')
  or strings.icontains(body.current_thread.text, 'GoogleKarriär')
  // Dutch
  or strings.icontains(body.current_thread.text, 'Google Carrières')
  or strings.icontains(body.current_thread.text, 'GoogleCarrières')
  // Turkish
  or strings.icontains(body.current_thread.text, 'Google Kariyer')
  or strings.icontains(body.current_thread.text, 'GoogleKariyer')
  // The screenshot OCR captures google careers or the google logo
  or (
    sender.email.domain.root_domain == "salesforce.com"
    and (
      regex.icontains(beta.ocr(file.message_screenshot()).text,
                      "google careers"
      )
      or any(ml.logo_detect(file.message_screenshot()).brands,
             strings.starts_with(.name, "Google")
      )
    )
  )
)
and not any(body.links, .href_url.domain.root_domain in ("google.com", "c.gle"))
and not (
  sender.email.domain.root_domain in ("google.com", "sublimesecurity.com")
  and headers.auth_summary.dmarc.pass
)

Detection logic

Scope: inbound message.

inbound message
any of:
- body.current_thread.text contains 'Google Careers'
- body.current_thread.text contains 'GoogleCareers'
- body.current_thread.text contains 'Google Carreras'
- body.current_thread.text contains 'GoogleCarreras'
- body.current_thread.text contains 'Google Karriere'
- body.current_thread.text contains 'GoogleKarriere'
- body.current_thread.text contains 'Google Karriär'
- body.current_thread.text contains 'GoogleKarriär'
- body.current_thread.text contains 'Google Carrières'
- body.current_thread.text contains 'GoogleCarrières'
- body.current_thread.text contains 'Google Kariyer'
- body.current_thread.text contains 'GoogleKariyer'
- all of:
  - sender.email.domain.root_domain is 'salesforce.com'
  - any of:
    
    beta.ocr(file.message_screenshot()).text matches 'google careers'
    any of ml.logo_detect(file.message_screenshot()).brands where:
    
    .name starts with 'Google'
not:
- any of body.links where:
  - .href_url.domain.root_domain in ('google.com', 'c.gle')
not:
- all of:
  - sender.email.domain.root_domain in ('google.com', 'sublimesecurity.com')
  - headers.auth_summary.dmarc.pass

Inspects: body.current_thread.text, body.links, body.links[].href_url.domain.root_domain, headers.auth_summary.dmarc.pass, sender.email.domain.root_domain, type.inbound. Sensors: beta.ocr, file.message_screenshot, ml.logo_detect, regex.icontains, strings.icontains, strings.starts_with.

Indicators matched (19)

Field	Match	Value
`strings.icontains`	substring	`Google Careers`
`strings.icontains`	substring	`GoogleCareers`
`strings.icontains`	substring	`Google Carreras`
`strings.icontains`	substring	`GoogleCarreras`
`strings.icontains`	substring	`Google Karriere`
`strings.icontains`	substring	`GoogleKarriere`
`strings.icontains`	substring	`Google Karriär`
`strings.icontains`	substring	`GoogleKarriär`
`strings.icontains`	substring	`Google Carrières`
`strings.icontains`	substring	`GoogleCarrières`
`strings.icontains`	substring	`Google Kariyer`
`strings.icontains`	substring	`GoogleKariyer`

7 more

`sender.email.domain.root_domain`	equals	`salesforce.com`
`regex.icontains`	regex	`google careers`
`strings.starts_with`	prefix	`Google`
`body.links[].href_url.domain.root_domain`	member	`google.com`
`body.links[].href_url.domain.root_domain`	member	`c.gle`
`sender.email.domain.root_domain`	member	`google.com`
`sender.email.domain.root_domain`	member	`sublimesecurity.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)