Reconnaissance: Hotel booking reply-to redirect
Detects messages impersonating hotel booking inquiries by identifying common hotel-related language patterns from senders where the reply-to is a free email provider and differs from the sender domain in an effort to validate whether a recipient address is valid or not, potentially preceding an attack.
Sublime rule (View on GitHub)
1name: "Reconnaissance: Hotel booking reply-to redirect"
2description: "Detects messages impersonating hotel booking inquiries by identifying common hotel-related language patterns from senders where the reply-to is a free email provider and differs from the sender domain in an effort to validate whether a recipient address is valid or not, potentially preceding an attack."
3type: "rule"
4severity: "medium"
5source: |
6 type.inbound
7 and any(headers.reply_to,
8 .email.domain.root_domain in $free_email_providers
9 and .email.domain.root_domain != sender.email.domain.root_domain
10 )
11 and all(recipients.to,
12 .email.domain.root_domain != sender.email.domain.root_domain
13 )
14 and length(body.links) == 0
15 and length(attachments) == 0
16 and length(body.current_thread.text) < 600
17 and not (
18 (subject.is_reply or subject.is_forward)
19 and (length(headers.references) > 0 or headers.in_reply_to is not null)
20 )
21 and (
22 (
23 strings.ilike(body.current_thread.text,
24 '*hotel*',
25 '*your property*',
26 '*accommodation*',
27 '*guest services*',
28 '*reception*',
29 '*front desk*'
30 )
31 and strings.ilike(body.current_thread.text,
32 '*booking*',
33 '*to book*',
34 '*book a *',
35 '*reserv*',
36 '*room*',
37 '*suite*',
38 '*availability*',
39 '*check-in*',
40 '*available dates*',
41 '*family trip*',
42 '*deluxe accommodation*',
43 '*two children*',
44 '*hotel manager*'
45 )
46 )
47 or strings.ilike(subject.base,
48 '*hotel*',
49 '*room reserv*',
50 '*room inquiry*',
51 '*room availability*',
52 '*suite*',
53 '*accommodation*'
54 )
55 )
56attack_types:
57 - "BEC/Fraud"
58tactics_and_techniques:
59 - "Free email provider"
60 - "Social engineering"
61detection_methods:
62 - "Content analysis"
63 - "Header analysis"
64 - "Sender analysis"
65id: "08c36035-dc50-5169-808c-c8a6d2f64932"