Compensation review with QR code in attached EML

 1name: "Compensation review with QR code in attached EML"
 2description: "Detects inbound messages containing compensation-related terms (salary, bonus, merit, etc.) combined with review/change language that include EML attachments containing QR codes or barcodes in scanned documents."
 3type: "rule"
 4severity: "high"
 5source: |
 6  type.inbound
 7  
 8  // the subject contains pay related items
 9  and (
10    strings.icontains(subject.subject, 'salary')
11    or regex.icontains(subject.subject, 'comp(?:liance|ensation|\b)')
12    or strings.icontains(subject.subject, 'remuneration')
13    or regex.icontains(subject.subject, '\bpay(?:roll|\b)')
14    or strings.icontains(subject.subject, 'bonus')
15    or strings.icontains(subject.subject, 'incentive')
16    or strings.icontains(subject.subject, 'merit')
17    or strings.icontains(subject.subject, 'handbook')
18    or strings.icontains(subject.subject, 'benefits')
19  )
20  // subjects include review/updates/changes
21  and (
22    strings.icontains(subject.subject, 'review')
23    or strings.icontains(subject.subject, 'evaluation')
24    or regex.icontains(subject.subject, 'eval\b')
25    or strings.icontains(subject.subject, 'assessment')
26    or strings.icontains(subject.subject, 'appraisal')
27    or strings.icontains(subject.subject, 'feedback')
28    or strings.icontains(subject.subject, 'performance')
29    or strings.icontains(subject.subject, 'adjustment')
30    or strings.icontains(subject.subject, 'statement')
31    or strings.icontains(subject.subject, 'increase')
32    or strings.icontains(subject.subject, 'raise')
33    or strings.icontains(subject.subject, 'change')
34    or strings.icontains(subject.subject, 'modification')
35    or strings.icontains(subject.subject, 'distribution')
36    or strings.icontains(subject.subject, 'Disbursement')
37    or regex.icontains(subject.subject, 'revis(?:ed|ion)')
38    or regex.icontains(subject.subject, 'amend(?:ed|ment)')
39    or strings.icontains(subject.subject, 'update')
40  )
41  and any(filter(attachments,
42                 .content_type == "message/rfc822" or .file_extension in ('eml')
43          ),
44          // inspect attachments in nested EML
45          any(file.parse_eml(.).attachments,
46              any(file.explode(.),
47                  (
48                    regex.icontains(.scan.ocr.raw, 'scan|camera')
49                    and regex.icontains(.scan.ocr.raw, '\bQR\b|Q\.R\.|barcode')
50                  )
51                  or .scan.qr.type == "url" and .scan.qr.url.domain.valid
52              )
53          )
54          // inspect nested EML in body.current_thread
55          or (
56            regex.icontains(file.parse_eml(.).body.current_thread.text,
57                            'scan|camera'
58            )
59            and regex.icontains(file.parse_eml(.).body.current_thread.text,
60                                '\bQR\b|Q\.R\.|barcode'
61            )
62          )
63          // or there is a QR code found within the body of the nested body
64          or (
65            beta.scan_qr(file.html_screenshot(file.parse_eml(.).body.html)).found
66            and any(beta.scan_qr(file.html_screenshot(file.parse_eml(.).body.html)
67                    ).items,
68                    .type == "url" and .url.domain.valid
69            )
70          )
71  )
72  
73  // negate instances where proofpoint sends a review of a reported message via analyzer 
74  and not (
75    sender.email.email == "analyzer@analyzer.securityeducation.com"
76    and any(headers.domains, .root_domain == "pphosted.com")
77    and headers.auth_summary.spf.pass
78    and headers.auth_summary.dmarc.pass
79  )  
80attack_types:
81  - "Credential Phishing"
82tactics_and_techniques:
83  - "QR code"
84  - "Social engineering"
85detection_methods:
86  - "Computer Vision"
87  - "Content analysis"
88  - "Optical Character Recognition"
89  - "QR code analysis"
90id: "98a2f03c-4bec-556d-af84-709d41819877"