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sublimehighRule

Headers: X-Source-Auth mismatch with mismatched reply-to domain

Detects messages where the X-Source-Auth header value doesn't match the sender's email address and the reply-to domain differs from the sender's domain, indicating potential sender spoofing or impersonation.

MITRE ATT&CK

initial-access

Detection Query

type.inbound
// X-Source-Auth doesn't match sender
and any(headers.hops,
        any(.fields,
            .name == 'X-Source-Auth'
            and .value != sender.email.email
            and strings.parse_email(.value).email is not null
        )
)
// mismatched sender (from) and Reply-to
and length(headers.reply_to) > 0
and all(headers.reply_to,
        .email.domain.root_domain != sender.email.domain.root_domain
)
and length(ml.nlu_classifier(body.current_thread.text).intents) > 0
and not any(ml.nlu_classifier(body.current_thread.text).intents,
            .name == 'benign' and .confidence != 'low'
)

Data Sources

Email MessagesEmail HeadersEmail Attachments

Platforms

email

Tags

Attack surface reduction
Raw Content
name: "Headers: X-Source-Auth mismatch with mismatched reply-to domain"
description: "Detects messages where the X-Source-Auth header value doesn't match the sender's email address and the reply-to domain differs from the sender's domain, indicating potential sender spoofing or impersonation."
type: "rule"
severity: "high"
source: |
  type.inbound
  // X-Source-Auth doesn't match sender
  and any(headers.hops,
          any(.fields,
              .name == 'X-Source-Auth'
              and .value != sender.email.email
              and strings.parse_email(.value).email is not null
          )
  )
  // mismatched sender (from) and Reply-to
  and length(headers.reply_to) > 0
  and all(headers.reply_to,
          .email.domain.root_domain != sender.email.domain.root_domain
  )
  and length(ml.nlu_classifier(body.current_thread.text).intents) > 0
  and not any(ml.nlu_classifier(body.current_thread.text).intents,
              .name == 'benign' and .confidence != 'low'
  )
tags:
 - "Attack surface reduction"
attack_types:
  - "BEC/Fraud"
tactics_and_techniques:
  - "Social engineering"
  - "Spoofing"
detection_methods:
  - "Content analysis"
  - "Header analysis"
  - "Natural Language Understanding"
  - "Sender analysis"
id: "f56e8b29-30a4-51bc-a71f-244f10bf7452"