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sublimehighRule
Brand impersonation: DocuSign PDF attachment with suspicious link
This rule detects DocuSign logos within PDF's that do not link to reputable domains, nor docusign themselves. This is typically indicative of Credential Phishing.
Detection Query
type.inbound
and any(attachments,
.file_type == "pdf"
and any(ml.logo_detect(.).brands, .name == "DocuSign")
and any(file.explode(.),
length(.scan.url.urls) <= 9
and any(.scan.url.urls,
.domain.root_domain not in $tranco_1m
and .domain.root_domain not in $org_domains
and .domain.root_domain != "sublimesecurity.com"
and not strings.ilike(.domain.root_domain, "docusign.*")
)
)
and any(file.explode(.),
any(ml.nlu_classifier(.scan.ocr.raw).entities,
.name == "org" and .text == "DocuSign"
)
)
and any(file.explode(.),
any(ml.nlu_classifier(.scan.ocr.raw).entities,
.name == "request"
)
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Brand impersonation: DocuSign PDF attachment with suspicious link"
description: "This rule detects DocuSign logos within PDF's that do not link to reputable domains, nor docusign themselves. This is typically indicative of Credential Phishing."
type: "rule"
severity: "high"
source: |
type.inbound
and any(attachments,
.file_type == "pdf"
and any(ml.logo_detect(.).brands, .name == "DocuSign")
and any(file.explode(.),
length(.scan.url.urls) <= 9
and any(.scan.url.urls,
.domain.root_domain not in $tranco_1m
and .domain.root_domain not in $org_domains
and .domain.root_domain != "sublimesecurity.com"
and not strings.ilike(.domain.root_domain, "docusign.*")
)
)
and any(file.explode(.),
any(ml.nlu_classifier(.scan.ocr.raw).entities,
.name == "org" and .text == "DocuSign"
)
)
and any(file.explode(.),
any(ml.nlu_classifier(.scan.ocr.raw).entities,
.name == "request"
)
)
)
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Impersonation: Brand"
- "PDF"
- "Social engineering"
detection_methods:
- "File analysis"
- "Natural Language Understanding"
- "Optical Character Recognition"
- "URL analysis"
id: "2601cbb7-0a07-5289-a32f-68c0db3c3170"