Brand Impersonation: PayPal

  1name: "Brand Impersonation: PayPal"
  2description: |
  3    Impersonation of PayPal.
  4references:
  5  - "https://www.welivesecurity.com/2019/12/20/scam-wants-more-than-paypal-logins/"
  6type: "rule"
  7severity: "medium"
  8source: |
  9  type.inbound
 10  and (
 11    strings.replace_confusables(sender.display_name) =~ "paypal"
 12    or strings.ilevenshtein(strings.replace_confusables(sender.display_name), 'paypal') <= 1
 13    or strings.ilike(strings.replace_confusables(sender.display_name), '*paypal*')
 14    or strings.icontains(body.current_thread.text, "paypal billing team")
 15    or strings.icontains(body.current_thread.text, "paypal account services")
 16    or any(attachments,
 17           (.file_type in $file_types_images or .file_type == "pdf")
 18           and any(ml.logo_detect(.).brands, .name == "PayPal")
 19           and any(file.explode(.),
 20                   // exclude images taken with mobile cameras and screenshots from android
 21                   not any(.scan.exiftool.fields,
 22                           .key == "Model"
 23                           or (
 24                             .key == "Software"
 25                             and strings.starts_with(.value, "Android")
 26                           )
 27                   )
 28                   // exclude images taken with mobile cameras and screenshots from Apple
 29                   and not any(.scan.exiftool.fields,
 30                               .key == "DeviceManufacturer"
 31                               and .value == "Apple Computer Inc."
 32                   )
 33                   and strings.ilike(.scan.ocr.raw, "*PayPal*")
 34                   and strings.ilike(.scan.ocr.raw,
 35                                     "*invoice*",
 36                                     "*transaction*",
 37                                     "*bitcoin*",
 38                                     "*dear customer*",
 39                                     "*suspicious activity*"
 40                   )
 41           )
 42    )
 43    or (
 44      any(ml.logo_detect(file.message_screenshot()).brands, .name == "PayPal")
 45      and strings.ilike(body.current_thread.text, "*PayPal*")
 46      and strings.ilike(body.current_thread.text,
 47                        "*invoice*",
 48                        "*transaction*",
 49                        "*bitcoin*",
 50                        "*dear customer*",
 51                        "*suspicious activity*"
 52      )
 53    )
 54  )
 55  and not any(ml.nlu_classifier(body.current_thread.text).topics,
 56            .name in~ (
 57              "Professional and Career Development",
 58              "Government Services"
 59            )
 60  )
 61  and sender.email.domain.root_domain not in (
 62    'google.com',
 63    'paypal-brandsfeedback.com',
 64    'paypal-creditsurvey.com',
 65    'paypal-customerfeedback.com',
 66    'paypal-experience.com',
 67    'paypal-prepaid.com',
 68    'paypal.at',
 69    'paypal.be',
 70    'paypal.ca',
 71    'paypal.ch',
 72    'paypal.co.br',
 73    'paypal.co.il',
 74    'paypal.co.uk',
 75    'paypal.com',
 76    'paypal.com.au',
 77    'paypal.com.mx',
 78    'paypal.com.sg',
 79    'paypal.de',
 80    'paypal.dk',
 81    'paypal.es',
 82    'paypal.fr',
 83    'paypal.hk',
 84    'paypal.it',
 85    'paypal.nl',
 86    'paypal.pl',
 87    'paypal.se',
 88    'paypalcorp.com',
 89    'q4inc.com',
 90    'synchrony.com',
 91    'synchronybank.com',
 92    'synchronyfinancial.com',
 93    'xoom.com',
 94    'zettle.com'
 95  )
 96  and (
 97    not profile.by_sender().solicited
 98    or (
 99      profile.by_sender().any_messages_malicious_or_spam
100      and not profile.by_sender().any_messages_benign
101    )
102  )
103  
104  // negate highly trusted sender domains unless they fail DMARC authentication
105  and (
106    (
107      sender.email.domain.root_domain in $high_trust_sender_root_domains
108      and not headers.auth_summary.dmarc.pass
109    )
110    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
111  )  
112
113attack_types:
114  - "Credential Phishing"
115tactics_and_techniques:
116  - "Impersonation: Brand"
117  - "Lookalike domain"
118  - "Social engineering"
119detection_methods:
120  - "Computer Vision"
121  - "Content analysis"
122  - "File analysis"
123  - "Header analysis"
124  - "Sender analysis"
125id: "a6b2ceee-ea57-594d-8437-698fad55c9bf"