sublimemediumRule

Service abuse: Oracle Cloud Workflow callback scam

Detects inbound messages sent through Oracle Cloud's workflow mail service (workflow.mail.us2.cloud.oracle.com) that contain callback scam content within styled HTML table cells. Natural language understanding is used to identify callback scam intent with medium or high confidence within the message body, indicating misuse of legitimate Oracle infrastructure to deliver fraudulent content.

MITRE ATT&CK

T1566.003 T1598 T1566 T1566.002 T1598.003

initial-access

Detection Query

type.inbound
and sender.email.domain.domain == "workflow.mail.us2.cloud.oracle.com"
and any(html.xpath(body.html,
                   "//td[contains(@style, 'padding: 20px 40px')]//font[@style='']"
        ).nodes,
        any(ml.nlu_classifier(.inner_text).intents,
            .name == "callback_scam" and .confidence != "low"
        )
)

Data Sources

Email MessagesEmail HeadersEmail Attachments

Platforms

Raw Content

name: "Service abuse: Oracle Cloud Workflow callback scam"
description: "Detects inbound messages sent through Oracle Cloud's workflow mail service (workflow.mail.us2.cloud.oracle.com) that contain callback scam content within styled HTML table cells. Natural language understanding is used to identify callback scam intent with medium or high confidence within the message body, indicating misuse of legitimate Oracle infrastructure to deliver fraudulent content."
type: "rule"
severity: "medium"
source: |
  type.inbound
  and sender.email.domain.domain == "workflow.mail.us2.cloud.oracle.com"
  and any(html.xpath(body.html,
                     "//td[contains(@style, 'padding: 20px 40px')]//font[@style='']"
          ).nodes,
          any(ml.nlu_classifier(.inner_text).intents,
              .name == "callback_scam" and .confidence != "low"
          )
  )   
attack_types:
  - "Callback Phishing"
tactics_and_techniques:
  - "Social engineering"
  - "Impersonation: Brand"
detection_methods:
  - "Sender analysis"
  - "HTML analysis"
  - "Natural Language Understanding"
id: "873f523d-20a9-534d-b05c-69d740b6e155"