sublimelowRule

Job scam with specific salary pattern

Detects job scam content that includes specific weekly salary mentions (e.g., '$XXX weekly' patterns) in either the current email thread or previous thread conversations, while excluding legitimate income verification services.

MITRE ATT&CK

T1566.002 T1534 T1656 T1566 T1598

initial-access

Detection Query

type.inbound
and (
  (
    // job scam in current thread
    any(ml.nlu_classifier(body.current_thread.text).intents,
        .name in ("job_scam") and .confidence != "low"
    )
    // and salary mention in current thread
    and regex.icontains(body.current_thread.text,
                        '\$\d{3} weekly',
                        'weekly(?:\s+\w+){0,4}\s+\$\d{3}[^\d]'
    )
  )
  // job scam in previous thread
  or any(body.previous_threads,
         any(ml.nlu_classifier(.text).intents,
             .name in ("job_scam") and .confidence != "low"
         )
         // and salary mention in previous thread
         and regex.icontains(.text,
                             '\$\d{3} weekly',
                             'weekly(?:\s+\w+){0,4}\s+\$\d{3}[^\d]'
         )
  )
)
and length(body.current_thread.links) < 10

// negating income / job verification senders
and not (
  sender.email.domain.root_domain in (
    'loandepot.com',
    'sofi.com',
    'lensa.com',
    'indeed.com',
    'ziprecruiter.com',
    'glassdoor.com',
    'postjobfree.com',
    'jobplacements.com'
  )
  and headers.auth_summary.dmarc.pass
)

Data Sources

Email MessagesEmail HeadersEmail Attachments

Platforms

Raw Content

name: "Job scam with specific salary pattern"
description: "Detects job scam content that includes specific weekly salary mentions (e.g., '$XXX weekly' patterns) in either the current email thread or previous thread conversations, while excluding legitimate income verification services."
type: "rule"
severity: "low"
source: |
  type.inbound
  and (
    (
      // job scam in current thread
      any(ml.nlu_classifier(body.current_thread.text).intents,
          .name in ("job_scam") and .confidence != "low"
      )
      // and salary mention in current thread
      and regex.icontains(body.current_thread.text,
                          '\$\d{3} weekly',
                          'weekly(?:\s+\w+){0,4}\s+\$\d{3}[^\d]'
      )
    )
    // job scam in previous thread
    or any(body.previous_threads,
           any(ml.nlu_classifier(.text).intents,
               .name in ("job_scam") and .confidence != "low"
           )
           // and salary mention in previous thread
           and regex.icontains(.text,
                               '\$\d{3} weekly',
                               'weekly(?:\s+\w+){0,4}\s+\$\d{3}[^\d]'
           )
    )
  )
  and length(body.current_thread.links) < 10
  
  // negating income / job verification senders
  and not (
    sender.email.domain.root_domain in (
      'loandepot.com',
      'sofi.com',
      'lensa.com',
      'indeed.com',
      'ziprecruiter.com',
      'glassdoor.com',
      'postjobfree.com',
      'jobplacements.com'
    )
    and headers.auth_summary.dmarc.pass
  )
attack_types:
  - "BEC/Fraud"
tactics_and_techniques:
  - "Social engineering"
detection_methods:
  - "Content analysis"
  - "Natural Language Understanding"
  - "Header analysis"
  - "Sender analysis"
id: "af7f9e21-54a1-5bba-a70d-e4d52a13eae3"