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High Severity

Attachment: Microsoft 365 Credential Phishing

Labels

Credential Phishing
Impersonation: Brand
Social engineering
Content analysis
File analysis
Header analysis
Optical Character Recognition
Sender analysis

Description

Looks for messages with an image attachment that contains words related to Microsoft, Office365, and passwords.

References

No references.

Sublime Security
Created Aug 17th, 2023 • Last updated Oct 16th, 2024
Feed Source
Sublime Core Feed
Source
GitHub
type.inbound
and length(filter(attachments, .file_type not in $file_types_images)) == 0
and (
  any(attachments,
      .file_type in $file_types_images
      and any(ml.logo_detect(.).brands, strings.starts_with(.name, "Microsoft"))
  )
  or any(attachments,
         .file_type in $file_types_images
         and any(file.explode(.),
                 strings.ilike(.scan.ocr.raw, "*microsoft*", "*office")
                 and length(.scan.ocr.raw) < 1500
         )
  )
)
and any(attachments,
        .file_type in $file_types_images
        and any(file.explode(.),
                length(filter([
                                "password",
                                "unread messages",
                                "Shared Documents",
                                "expiration",
                                "expire",
                                "expiring",
                                "kindly",
                                "renew",
                                "review",
                                "emails failed",
                                "kicked out",
                                "prevented",
                                "storage",
                                "required now",
                                "cache",
                                "qr code",
                                "security update",
                                "invoice",
                                "retrieve",
                                "blocked"
                              ],
                              strings.icontains(..scan.ocr.raw, .)
                       )
                ) >= 2
                or (
                  any(ml.nlu_classifier(.scan.ocr.raw).intents,
                      .name == "cred_theft" and .confidence == "high"
                  )
                and length(ml.nlu_classifier(.scan.ocr.raw).entities) > 1
              )
        )
)
and (
  not any(headers.hops,
          .authentication_results.compauth.verdict is not null
          and .authentication_results.compauth.verdict == "pass"
          and sender.email.domain.domain in (
            "microsoft.com",
            "sharepointonline.com"
          )
  )
)

// negate angelbeat urls and microsoft disclaimer links
and (
  length(body.links) > 0
  and not all(body.links,
          .href_url.domain.root_domain in (
            "abeatinfo.com",
            "abeatinvite.com",
            "aka.ms",
            "angelbeat.com"
          )
  )
)

// negate replies
and (
  (
    (
      length(headers.references) > 0
      or not any(headers.hops,
                 any(.fields, strings.ilike(.name, "In-Reply-To"))
      )
    )
    and not (
      (
        strings.istarts_with(subject.subject, "RE:")
        or strings.istarts_with(subject.subject, "R:")
        or strings.istarts_with(subject.subject, "ODG:")
        or strings.istarts_with(subject.subject, "答复:")
        or strings.istarts_with(subject.subject, "AW:")
        or strings.istarts_with(subject.subject, "TR:")
        or strings.istarts_with(subject.subject, "FWD:")
        or regex.icontains(subject.subject, '^(\[[^\]]+\]\s?){0,3}(re|fwd?)\s?:')
      )
    )
  )
  or length(headers.references) == 0
)

and (
  not profile.by_sender().solicited
  or (
    profile.by_sender().any_messages_malicious_or_spam
    and not profile.by_sender().any_false_positives
  )
)

// negate highly trusted sender domains unless they fail DMARC authentication
and (
  (
    sender.email.domain.root_domain in $high_trust_sender_root_domains
    and not headers.auth_summary.dmarc.pass
  )
  or sender.email.domain.root_domain not in $high_trust_sender_root_domains
)
and not profile.by_sender().any_false_positives
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