Brand impersonation: USPS

  1name: "Brand impersonation: USPS"
  2description: "Impersonation of the United States Postal Service."
  3type: "rule"
  4severity: "high"
  5source: |
  6  type.inbound
  7  and (
  8    any(ml.logo_detect(file.message_screenshot()).brands, .name == "USPS")
  9    or strings.icontains(sender.display_name, "USPS")
 10    or strings.icontains(sender.display_name, "United States Postal Service")
 11    or regex.contains(body.html.display_text, 'USPS\s*\.\s*COM')
 12    or strings.icontains(body.current_thread.text, 'USPS Delivery Team')
 13    or any(ml.nlu_classifier(body.current_thread.text).entities,
 14           .name == "org" and .text =~ "USPS"
 15    )
 16  )
 17  and length(body.links) > 0
 18  and 3 of (
 19    any(body.links,
 20        strings.ilike(.display_text,
 21                      "*check now*",
 22                      "*track*",
 23                      "*package*",
 24                      '*view your order*',
 25                      "*update*",
 26                      '*delivery address*',
 27                      "*parcel allocation*",
 28                      "*claim your parcel*",
 29                      "*delivery details*"
 30        )
 31    ),
 32    strings.ilike(body.current_thread.text,
 33                  "*returned*to*sender*",
 34                  "*redelivery*",
 35                  '*USPS promotions*',
 36                  '*review your package*',
 37                  '*receiver address*',
 38                  '*package details*',
 39                  '*sorry tolet*',
 40                  '*Due to an incorrect*',
 41                  '*remain undeliverable*',
 42                  "*service updates*"
 43    ),
 44    // impersonal greeting
 45    any(ml.nlu_classifier(body.current_thread.text).entities,
 46        .name == "recipient" and .text =~ "Customer"
 47    ),
 48    any(ml.nlu_classifier(body.current_thread.text).intents,
 49        .name == "cred_theft" and .confidence != "low"
 50    ),
 51    // free email sender
 52    sender.email.domain.root_domain in $free_email_providers,
 53    network.whois(sender.email.domain).days_old < 30,
 54    not network.whois(sender.email.domain).found,
 55  
 56    // contains link to recently registered domain
 57    any(body.links, network.whois(.href_url.domain).days_old < 15),
 58    (
 59      regex.icontains(strings.replace_confusables(body.html.display_text),
 60                      '\b(?:u.?s.?p.?s|shipping|delivery)\b'
 61      )
 62      and not regex.icontains(body.html.display_text,
 63                              '\b(?:usps|shipping|delivery)\b'
 64      )
 65    ),
 66    any(body.links, regex.icontains(.href_url.url, 'https?://[0-9]{7,12}/.+')),
 67    (
 68      any(body.links,
 69          strings.icontains(.display_url.domain.root_domain, 'usps')
 70          and .mismatched
 71      )
 72    )
 73  )
 74  and (
 75    sender.email.domain.root_domain not in (
 76      "usps.com",
 77      "opinions-inmoment.com", // https://faq.usps.com/s/article/USPS-Customer-Experience-Surveys
 78      "shipup.co", // third party shipping company
 79      "withings.com" // third party shipping company
 80    )
 81    or (
 82      sender.email.domain.root_domain in (
 83        "usps.com",
 84        "opinions-inmoment.com" // https://faq.usps.com/s/article/USPS-Customer-Experience-Surveys
 85      )
 86      and not headers.auth_summary.dmarc.pass
 87    )
 88  )
 89  // negate newsletters
 90  and not (
 91    length(filter(body.links, .visible == true)) > 20
 92    or any(ml.nlu_classifier(body.html.display_text).topics,
 93           .name == "Newsletters and Digests"
 94    )
 95  )
 96  // not all links to usps.com
 97  and not all(body.links, .href_url.domain.root_domain == "usps.com")
 98  // negate legit forwards and replies
 99  and not (
100    (subject.is_reply or subject.is_forward)
101    and length(body.previous_threads) > 0
102    and (length(headers.references) > 0 or headers.in_reply_to is not null)
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  and not any(body.links,
113              regex.icontains(.display_text, 'Track (?:Your Order|Shipment)')
114              and .href_url.domain.domain == 'tools.usps.com'
115  )
116  and not sender.email.domain.root_domain in ('shopifyemail.com')  
117attack_types:
118  - "Credential Phishing"
119tactics_and_techniques:
120  - "Image as content"
121  - "Impersonation: Brand"
122  - "Social engineering"
123detection_methods:
124  - "Computer Vision"
125  - "Content analysis"
126  - "Natural Language Understanding"
127  - "Sender analysis"
128id: "28b9130a-d8e0-50af-97c9-c1b8f4c46d68"