• Sublime Core Feed
Low Severity

Job Scam (unsolicited sender)

Labels

BEC/Fraud
Social engineering
Content analysis
Header analysis
Natural Language Understanding
Sender analysis

Description

Detects job scam attempts by analyzing the message body text from an unsolicited sender.

References

No references.

Sublime Security
Created Aug 17th, 2023 • Last updated Jul 16th, 2025
Feed Source
Sublime Core Feed
Source
GitHub
type.inbound
and (
  any(ml.nlu_classifier(body.current_thread.text).intents,
      .name in ("job_scam") and .confidence == "high"
  )
)
and (
  any(ml.nlu_classifier(body.current_thread.text).entities,
      .name == "financial"
  )
  or strings.icontains(body.current_thread.text, "salary package")
  or strings.icontains(body.current_thread.text, "kindly")
  or (
    any(ml.nlu_classifier(body.current_thread.text).entities,
        .name in ("greeting", "salutation")
    )
    and (
      (
        length(recipients.to) == 0
        or length(recipients.bcc) > 0
        or (
          all(recipients.to, .email.domain.valid == false)
          and all(recipients.cc, .email.domain.valid == false)
        )
      )
    )
  )
)
// negating income / job verification senders
and not (
  sender.email.domain.root_domain in ('loandepot.com')
  and headers.auth_summary.dmarc.pass
)
and (
  not profile.by_sender().solicited
  or profile.by_sender().any_messages_malicious_or_spam
)
and not profile.by_sender().any_messages_benign
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