Job scam (unsolicited sender)

 1name: "Job scam (unsolicited sender)"
 2description: |
 3    Detects job scam attempts by analyzing the message body text from an unsolicited sender.
 4type: "rule"
 5severity: "low"
 6source: |
 7  type.inbound
 8  and (
 9    any(ml.nlu_classifier(body.current_thread.text).intents,
10        .name in ("job_scam") and .confidence == "high"
11    )
12  )
13  and (
14    any(ml.nlu_classifier(body.current_thread.text).entities,
15        .name == "financial"
16    )
17    or strings.icontains(body.current_thread.text, "salary package")
18    or strings.icontains(body.current_thread.text, "kindly")
19    or (
20      any(ml.nlu_classifier(body.current_thread.text).entities,
21          .name in ("greeting", "salutation")
22      )
23      and (
24        (
25          length(recipients.to) == 0
26          or length(recipients.bcc) > 0
27          or (
28            all(recipients.to, .email.domain.valid == false)
29            and all(recipients.cc, .email.domain.valid == false)
30          )
31        )
32      )
33    )
34  )
35  // negating income / job verification senders
36  and not (
37    sender.email.domain.root_domain in ('loandepot.com', 'sofi.com')
38    and headers.auth_summary.dmarc.pass
39  )
40  and (
41    not profile.by_sender().solicited
42    or profile.by_sender().any_messages_malicious_or_spam
43  )
44  and not profile.by_sender().any_messages_benign  
45attack_types:
46  - "BEC/Fraud"
47tactics_and_techniques:
48  - "Social engineering"
49detection_methods:
50  - "Content analysis"
51  - "Header analysis"
52  - "Natural Language Understanding"
53  - "Sender analysis"
54id: "a37dc32d-33a4-5097-a585-ff6c345d0ecc"