Attachment: Invoice and W-9 PDFs with suspicious creators
Detects messages containing two PDF attachments where one has invoice-related naming patterns and another contains W-9 tax form indicators, commonly used in business email compromise attacks targeting financial processes.
Sublime rule (View on GitHub)
1name: "Attachment: Invoice and W-9 PDFs with suspicious creators"
2description: "Detects messages containing two PDF attachments where one has invoice-related naming patterns and another contains W-9 tax form indicators, commonly used in business email compromise attacks targeting financial processes."
3type: "rule"
4severity: "high"
5source: |
6 type.inbound
7 and length(distinct(attachments, .sha1)) == 2
8 and length(filter(attachments, .file_type == "pdf")) == 2
9 // either of them are chrome/wkhtmltopdf
10 and any(filter(attachments, .file_type == "pdf"),
11 beta.parse_exif(.).creator == "Chromium"
12 or strings.icontains(beta.parse_exif(.).creator, "wkhtmltopdf")
13 or strings.icontains(beta.parse_exif(.).creator, "HeadlessChrome")
14 or (
15 any(beta.parse_exif(.).fields, .key == "Creator" and .value == "")
16 and any(beta.parse_exif(.).fields,
17 .key == "Producer" and .value == ""
18 )
19 )
20 or any(beta.parse_exif(.).fields,
21 .key in ("Producer", "CreatorTool")
22 and regex.icontains(.value, '(?:pdfium|mpdf)')
23 )
24 )
25 and any(attachments,
26 strings.istarts_with(.file_name, 'lnv')
27 or strings.istarts_with(.file_name, 'inv-')
28 or strings.istarts_with(.file_name, "invoice_")
29 or regex.contains(.file_name, '^Invoice\s\d{8,9}')
30 or regex.contains(.file_name, '^INV[0-9]{7}')
31 or regex.contains(.file_name, '^INV#[0-9]{12}')
32 or strings.icontains(beta.ocr(.).text, "Executive Business Coaching")
33 or strings.icontains(beta.ocr(.).text, "Executive Coaching")
34 or strings.icontains(beta.ocr(.).text, "Professional Services")
35 or strings.icontains(beta.ocr(.).text, "Business Systems Integration")
36 or strings.icontains(beta.ocr(.).text, "Consulting & Advisory")
37 or strings.icontains(beta.ocr(.).text, "Zoomlnfo")
38 or (
39 (
40 regex.contains(beta.ocr(.).text, 'INVOICE\s*\n')
41 or regex.icontains(.file_name, '_inv_')
42 )
43 and length(headers.reply_to) > 0
44 and all(headers.reply_to,
45 .email.domain.root_domain != sender.email.domain.root_domain
46 )
47 )
48 )
49 and any(attachments,
50 .file_name == ".pdf"
51 or regex.contains(beta.ocr(.).text, 'W[=-]9')
52 or regex.icontains(.file_name, 'w[-_]?9')
53 )
54 and not (
55 sender.email.domain.root_domain in ('intuit.com')
56 and coalesce(headers.auth_summary.dmarc.pass, false)
57 )
58attack_types:
59 - "BEC/Fraud"
60tactics_and_techniques:
61 - "PDF"
62 - "Social engineering"
63 - "Impersonation: Brand"
64detection_methods:
65 - "File analysis"
66 - "Optical Character Recognition"
67 - "Exif analysis"
68 - "Content analysis"
69id: "305d6e32-4104-5007-a209-ee4686081de2"