Brand impersonation: Automobile assistance associations
Detects messages impersonating automobile associations (AAA, CAA, RAC, etc.) offering vehicle emergency kits or roadside assistance services from untrusted senders.
Sublime rule (View on GitHub)
1name: "Brand impersonation: Automobile assistance associations"
2description: "Detects messages impersonating automobile associations (AAA, CAA, RAC, etc.) offering vehicle emergency kits or roadside assistance services from untrusted senders."
3type: "rule"
4severity: "high"
5source: |
6 type.inbound
7 and any(ml.nlu_classifier(body.current_thread.text).entities,
8 .name in ("org", "sender")
9 and regex.contains(.text, '\b(?:AAA|RAC|RAA|CAA|BCAA|AMA)\b')
10 )
11 and regex.icontains(body.current_thread.text,
12 '(?:car|vehicle|motor|driver|emergency|road.?side|break.?down|assist|save|discount|complimentary|free\b).{0,10}kit'
13 )
14 // and the sender is not from high trust sender root domains
15 and not (
16 sender.email.domain.root_domain in $high_trust_sender_root_domains
17 and coalesce(headers.auth_summary.dmarc.pass, false)
18 )
19 // negate newsletters and quarantine notifications
20 and not (
21 any(ml.nlu_classifier(body.current_thread.text).topics,
22 .name in ("Newsletters and Digests") and .confidence != "low"
23 )
24 or strings.icontains(subject.subject, "quarantine")
25 )
26
27attack_types:
28 - "Credential Phishing"
29tactics_and_techniques:
30 - "Impersonation: Brand"
31 - "Social engineering"
32detection_methods:
33 - "Content analysis"
34 - "Natural Language Understanding"
35 - "Header analysis"
36 - "Sender analysis"
37id: "283f7fe5-afa2-5a2b-bd6c-0df687ed4a11"