Brand impersonation: Navan

Impersonation of the expense management provider Navan.

Sublime rule (View on GitHub)

 1name: "Brand impersonation: Navan"
 2description: "Impersonation of the expense management provider Navan."
 3type: "rule"
 4severity: "medium"
 5source: |
 6  type.inbound
 7  and (
 8    regex.icontains(sender.display_name, '(?:The\s+)?\bNavan\b(?:\s+Team)?')
 9    or strings.ilike(sender.email.domain.domain, '*Navan*')
10    or 2 of (
11      strings.icontains(body.current_thread.text, 'Navan'),
12      strings.icontains(body.current_thread.text, '3045 Park Blvd'),
13      strings.icontains(body.current_thread.text, 'Palo Alto, CA 94306')
14    )
15  )
16  and (
17    any(ml.logo_detect(file.message_screenshot()).brands,
18        .name == "Navan" and .confidence in ("medium", "high")
19    )
20    or (
21      regex.icontains(subject.subject,
22                      "(?:unrecognized|Unusual|suspicious|unknown) (?:log|sign).?[io]n attempt",
23                      "(?:important|urgent|attention|alert) account|accessed|[new|unrecognized|suspicious] location"
24      )
25      or any(ml.nlu_classifier(body.current_thread.text).entities,
26             .name == "urgency"
27      )
28      or any(ml.nlu_classifier(body.current_thread.text).intents,
29             .name in ("cred_theft", "steal_pii")
30      )
31    )
32  )
33  and sender.email.domain.root_domain not in~ ('navan.com')
34
35  // negate highly trusted sender domains unless they fail DMARC authentication
36  and not (
37    sender.email.domain.root_domain in $high_trust_sender_root_domains
38    and coalesce(headers.auth_summary.dmarc.pass, false)
39  )
40  and (
41    not profile.by_sender().solicited
42    or (
43      profile.by_sender().any_messages_malicious_or_spam
44      and not profile.by_sender().any_messages_benign
45    )
46  )
47  and not profile.by_sender().any_messages_benign  
48attack_types:
49  - "Credential Phishing"
50tactics_and_techniques:
51  - "Impersonation: Brand"
52  - "Social engineering"
53  - "Spoofing"
54detection_methods:
55  - "Sender analysis"
56  - "Natural Language Understanding"
57  - "URL analysis"
58  - "Content analysis"
59id: "3573e9a8-0ab7-5693-8386-8c75c95659b2"
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