Brand impersonation: Greetings Island
Detects messages that impersonate the e-vite service Greetings Island by referencing its branding, copyright footer, or logo.
Sublime rule (View on GitHub)
1name: "Brand impersonation: Greetings Island"
2description: "Detects messages that impersonate the e-vite service Greetings Island by referencing its branding, copyright footer, or logo."
3type: "rule"
4severity: "high"
5source: |
6 type.inbound
7 and (
8 // contains assets hosted on Greetings Island's CDN
9 (
10 strings.contains(body.html.raw, 'greetingsisland.com')
11 and any(html.xpath(body.html, '//img/@src').nodes,
12 strings.parse_url(.raw).domain.root_domain == "greetingsisland.com"
13 )
14 )
15 // copyright footer
16 or regex.icontains(body.current_thread.text,
17 '(?:©|\(c\)|copyright)\s*greetings\s?island'
18 )
19 // Greetings Island logo present in message screenshot
20 or (
21 any(ml.logo_detect(file.message_screenshot()).brands,
22 .name == "Invite Company" and .confidence != "low"
23 )
24 // "Invite Company" matches many different e-vite provider logos
25 // we want to filter this to greetings island specifically
26 and (
27 regex.icontains(body.current_thread.text, 'greetings\s?island')
28 //
29 // This rule makes use of a beta feature and is subject to change without notice
30 // using the beta feature in custom rules is not suggested until it has been formally released
31 //
32 or regex.icontains(beta.ocr(file.message_screenshot()).text,
33 'greetings\s?island'
34 )
35 )
36 )
37 )
38
39 // not from Greetings Island actual
40 and not (
41 sender.email.domain.root_domain == "greetingsisland.com"
42 and coalesce(headers.auth_summary.dmarc.pass, false)
43 )
44
45 // negate replies and forwards
46 and not (
47 (subject.is_forward or subject.is_reply)
48 and (length(headers.references) != 0 or headers.in_reply_to is not null)
49 and length(body.previous_threads) > 0
50 )
51attack_types:
52 - "Credential Phishing"
53 - "Malware/Ransomware"
54tactics_and_techniques:
55 - "Impersonation: Brand"
56 - "Social engineering"
57 - "Image as content"
58 - "Spoofing"
59detection_methods:
60 - "Content analysis"
61 - "Computer Vision"
62 - "Optical Character Recognition"
63 - "Header analysis"
64 - "HTML analysis"
65 - "Sender analysis"
66id: "c859e338-be3b-522d-956a-289de226d7a5"