1+ name : " VIP impersonation with urgent request (strict match, untrusted sender)"
2+ description : |
3+ Sender is using a display name that matches the display name of someone in your $org_vips list.
4+
5+ Detects potential Business Email Compromise (BEC) attacks by analyzing text within email body from untrusted senders.
6+ type : " rule"
7+ severity : " high"
8+ source : |
9+ type.inbound
10+ and any($org_vips,
11+ .display_name =~ sender.display_name
12+ or strings.concat(.first_name, " ", .last_name) == sender.display_name
13+ or strings.concat(.last_name, ", ", .first_name) == sender.display_name
14+ )
15+ and (
16+ any(ml.nlu_classifier(body.current_thread.text).intents,
17+ .name == "bec" and .confidence in ("medium", "high")
18+ )
19+ or (
20+ any(ml.nlu_classifier(body.current_thread.text).entities,
21+ .name == "urgency"
22+ )
23+ and any(ml.nlu_classifier(body.current_thread.text).entities,
24+ .name == "request"
25+ )
26+ )
27+ )
28+ and (
29+ (
30+ profile.by_sender().prevalence != "common"
31+ and not profile.by_sender().solicited
32+ )
33+ or (
34+ profile.by_sender().any_messages_malicious_or_spam
35+ and not profile.by_sender().any_messages_benign
36+ )
37+ or profile.by_sender().days_since.last_outbound > 365
38+ )
39+ // negate sharepoint notifications originating from within the org
40+ and not (
41+ sender.email.email in ('no-reply@sharepointonline.com')
42+ and length(headers.reply_to) > 0
43+ and all(headers.reply_to, .email.domain.root_domain in $org_domains)
44+ )
45+ // negate highly trusted sender domains unless they fail DMARC authentication
46+ and (
47+ (
48+ sender.email.domain.root_domain in $high_trust_sender_root_domains
49+ and not headers.auth_summary.dmarc.pass
50+ )
51+ or sender.email.domain.root_domain not in $high_trust_sender_root_domains
52+ )
53+ and not profile.by_sender().any_messages_benign
54+ attack_types :
55+ - " BEC/Fraud"
56+ tactics_and_techniques :
57+ - " Impersonation: VIP"
58+ - " Social engineering"
59+ detection_methods :
60+ - " Content analysis"
61+ - " Content analysis"
62+ - " Natural Language Understanding"
63+ - " Sender analysis"
64+ id : " 5bb1c65e-b217-59bc-b9a6-4b7e6defc225"
65+ og_id : " 0dd1fa60-6e89-5f70-81a1-6b64eef0e428"
66+ testing_pr : 4513
67+ testing_sha : 90a3176084fd25d367a7582d78b2cd7bb9c4b8b5
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