Brand impersonation: Survey request with credential theft indicators

 1name: "Brand impersonation: Survey request with credential theft indicators"
 2description: "Detects messages containing credential theft language disguised as survey requests from promotional content, targeting organizations from untrusted or spoofed high-trust domains."
 3type: "rule"
 4severity: "medium"
 5source: |
 6  type.inbound
 7  and (
 8    any(ml.nlu_classifier(body.current_thread.text).intents,
 9        .name == "cred_theft" and .confidence == "high"
10    )
11    or any(ml.nlu_classifier(body.current_thread.text).entities,
12           .name == "org" and .text == 'AAA'
13    )
14    or any(ml.nlu_classifier(body.current_thread.text).entities,
15           .name == "request" and strings.icontains(.text, 'Claim Your Free Kit')
16    )
17  )
18  and any(ml.nlu_classifier(body.current_thread.text).topics,
19          .name == "Advertising and Promotions" and .confidence != "low"
20  )
21  and any(ml.nlu_classifier(body.current_thread.text).entities,
22          .name in ("request", "org") and strings.icontains(.text, "survey")
23  )
24  // and the sender is not from high trust sender root domains
25  and (
26    (
27      sender.email.domain.root_domain in $high_trust_sender_root_domains
28      and not headers.auth_summary.dmarc.pass
29    )
30    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
31  )  
32attack_types:
33  - "Credential Phishing"
34tactics_and_techniques:
35  - "Social engineering"
36  - "Impersonation: Brand"
37  - "Spoofing"
38detection_methods:
39  - "Content analysis"
40  - "Header analysis"
41  - "Natural Language Understanding"
42  - "Sender analysis"
43id: "ea1c0e09-ef3d-5c30-b5c1-ffa1b71a7b88"