Brand impersonation: Adobe (QR code)

  1name: "Brand impersonation: Adobe (QR code)"
  2description: "Detects messages using Adobe image based lures, referencing or including a QR code from an Unsolicited sender. These messages often lead users to phishing sites or initiate unwanted downloads."
  3type: "rule"
  4severity: "high"
  5source: |
  6  type.inbound
  7  and (
  8    any(attachments,
  9        (.file_type in $file_types_images or .file_type == "pdf")
 10        and (
 11          any(ml.logo_detect(.).brands,
 12              .name == "Adobe" and .confidence in ("medium", "high")
 13          )
 14          or any(ml.logo_detect(file.message_screenshot()).brands,
 15                 .name == "Adobe"
 16          )
 17          or any(file.explode(.),
 18                 any(.scan.strings.strings,
 19                     regex.icontains(., "adobe (acrobat|sign)")
 20                     // negate PDF data, like "xmp:CreatorTool>Adobe Acrobat Pro (64-bit) 24.4.20272</xmp:CreatorTool>"
 21                     and not regex.icontains(.,
 22                                             "(creatortool|producer|creator).{1,5}adobe acrobat"
 23                     )
 24                 )
 25          )
 26        )
 27    )
 28    or any(attachments,
 29           .file_extension in $file_extensions_macros
 30           and any(file.explode(.), .depth == 0 and .scan.docx.image_count > 0)
 31           and any(file.explode(.),
 32                   any(.scan.strings.strings, strings.ilike(., "*adobe*"))
 33           )
 34    )
 35  )
 36  and any(attachments,
 37          (
 38            .file_type in $file_types_images
 39            or .file_type == "pdf"
 40            or .file_type in $file_extensions_macros
 41          )
 42          and (
 43            any(file.explode(.),
 44                regex.icontains(.scan.ocr.raw, 'scan|camera')
 45                and regex.icontains(.scan.ocr.raw, '\bQR\b|Q\.R\.|barcode')
 46            )
 47            or (
 48              any(file.explode(.),
 49                  .scan.qr.type == "url"
 50                  // recipient email address is present in the URL, a common tactic used in credential phishing attacks 
 51                  and any(recipients.to,
 52                          (
 53                            (
 54                              .email.domain.valid
 55                              and (
 56                                strings.icontains(..scan.qr.data, .email.email)
 57                                or any(beta.scan_base64(..scan.qr.data, format="url"),
 58                                       strings.icontains(., ..email.email)
 59                                )
 60                              )
 61                            )
 62                            or strings.icontains(.display_name, "undisclosed")
 63                          )
 64  
 65                          // the recipients sld is in the senders display name
 66                          or any(recipients.to,
 67                                 strings.icontains(sender.display_name,
 68                                                   .email.domain.sld
 69                                 )
 70                          )
 71  
 72                          // the recipient local is in the body  
 73                          or any(recipients.to,
 74                                 strings.icontains(body.current_thread.text,
 75                                                   .email.local_part
 76                                 )
 77                          )
 78  
 79                          // or the body is null 
 80                          or body.current_thread.text is null
 81                          or body.current_thread.text == ""
 82  
 83                          // or the subject contains authentication/urgency verbiage
 84                          or regex.contains(subject.subject,
 85                                            "(Authenticat(e|or|ion)|2fa|Multi.Factor|(qr|bar).code|action.require|alert|Att(n|ention):)"
 86                          )
 87  
 88                          // high confidence cred theft in body
 89                          or any(ml.nlu_classifier(body.current_thread.text).intents,
 90                                 .name == "cred_theft" and .confidence in ("high")
 91                          )
 92                  )
 93              )
 94            )
 95          )
 96  )
 97  and (
 98    not any(headers.hops,
 99            .authentication_results.compauth.verdict is not null
100            and .authentication_results.compauth.verdict == "pass"
101            and sender.email.domain.root_domain in (
102              "acrobat.com",
103              "adobecc.com",
104              "adobecces.com",
105              "adobeccstatic.com",
106              "adobe.com",
107              "adobeexchange.com",
108              "adobe-identity.com",
109              "adobe.io",
110              "adobejanus.com",
111              "adobelogin.com",
112              "adobe.net",
113              "adobeprojectm.com",
114              "adoberesources.net",
115              "adobesc.com",
116              "adobesign.com",
117              "adobestock.com",
118              "createjs.com",
119              "licensingstack.com",
120              "myportfolio.com",
121              "photoshop.com",
122              "typekit.com",
123              "typekit.net"
124            )
125    )
126  )
127  
128  // negate highly trusted sender domains unless they fail DMARC authentication
129  and (
130    (
131      sender.email.domain.root_domain in $high_trust_sender_root_domains
132      and not headers.auth_summary.dmarc.pass
133    )
134    or sender.email.domain.root_domain not in $high_trust_sender_root_domains
135  )
136  and (
137    not profile.by_sender().solicited
138    or (
139      profile.by_sender().any_messages_malicious_or_spam
140      and not profile.by_sender().any_messages_benign
141    )
142  )  
143attack_types:
144  - "Credential Phishing"
145tactics_and_techniques:
146  - "Impersonation: Brand"
147  - "PDF"
148  - "QR code"
149detection_methods:
150  - "Computer Vision"
151  - "Header analysis"
152  - "QR code analysis"
153  - "Sender analysis"
154id: "2fc36c6d-86a2-5b12-b5a4-5d8744858381"