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sublimelowRule
Credential phishing: Generic document share template
Detects messages that incorporate recipient-specific information (email domain, local part, or domain elements) alongside document-themed Unicode symbols and keywords. The rule identifies various targeting patterns including greeting-based personalization, attention-grabbing prefixes and multiple recipient elements. It also catches broken template attacks where recipient placeholders remain visible.
Detection Query
type.inbound
and (
// nlu capture for wide scope of greetings to reduce evasion
any(filter(ml.nlu_classifier(body.current_thread.text).entities,
.name == "greeting"
),
any([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
strings.icontains(body.current_thread.text,
strings.concat(..text, " ", .)
)
)
)
or any([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
// strings logic for non-greeting body starter
strings.icontains(body.current_thread.text,
strings.concat("attn: ", .)
)
// strings logic for recipient as starter
or strings.icontains(body.current_thread.text,
strings.concat(., " balance statement")
)
)
// count of all recipient elements is higher 2 or greater
or length(filter([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
strings.icontains(body.current_thread.text, .)
)
) >= 2
// logic for broken attack
or any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "recipient" and regex.icontains(.text, '[{}]')
)
)
// unicode + keyword generic template
and (
regex.icontains(body.current_thread.text,
'(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC}).{0,15}(?:document|completion|remit|review|statement|agree|shar(?:ed|ing)|receiv|\bmail\b)',
'(?:document|completion|remit|review|statement|agree|shar(?:ed|ing)|receiv|\bmail\b).{0,15}(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC})'
)
// negate sharepoint paths with unicode
and not any(body.links,
regex.icontains(.display_url.path,
'(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC})'
)
)
)
// nlu negation for FP's
and any(ml.nlu_classifier(body.current_thread.text).intents, .name != "benign")
// 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
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Tags
Attack surface reduction
Raw Content
name: "Credential phishing: Generic document share template"
description: "Detects messages that incorporate recipient-specific information (email domain, local part, or domain elements) alongside document-themed Unicode symbols and keywords. The rule identifies various targeting patterns including greeting-based personalization, attention-grabbing prefixes and multiple recipient elements. It also catches broken template attacks where recipient placeholders remain visible."
type: "rule"
severity: "low"
source: |
type.inbound
and (
// nlu capture for wide scope of greetings to reduce evasion
any(filter(ml.nlu_classifier(body.current_thread.text).entities,
.name == "greeting"
),
any([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
strings.icontains(body.current_thread.text,
strings.concat(..text, " ", .)
)
)
)
or any([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
// strings logic for non-greeting body starter
strings.icontains(body.current_thread.text,
strings.concat("attn: ", .)
)
// strings logic for recipient as starter
or strings.icontains(body.current_thread.text,
strings.concat(., " balance statement")
)
)
// count of all recipient elements is higher 2 or greater
or length(filter([
recipients.to[0].email.domain.sld,
recipients.to[0].email.local_part,
recipients.to[0].email.domain.domain
],
strings.icontains(body.current_thread.text, .)
)
) >= 2
// logic for broken attack
or any(ml.nlu_classifier(body.current_thread.text).entities,
.name == "recipient" and regex.icontains(.text, '[{}]')
)
)
// unicode + keyword generic template
and (
regex.icontains(body.current_thread.text,
'(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC}).{0,15}(?:document|completion|remit|review|statement|agree|shar(?:ed|ing)|receiv|\bmail\b)',
'(?:document|completion|remit|review|statement|agree|shar(?:ed|ing)|receiv|\bmail\b).{0,15}(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC})'
)
// negate sharepoint paths with unicode
and not any(body.links,
regex.icontains(.display_url.path,
'(?:\x{270e}|\x{270f}|\x{2710}|\x{270d}|\x{1f589}|\x{1F4C4}|\x{1F4D1}|\x{1F4C1}|\x{1F4EC})'
)
)
)
// nlu negation for FP's
and any(ml.nlu_classifier(body.current_thread.text).intents, .name != "benign")
// 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
)
tags:
- "Attack surface reduction"
attack_types:
- "BEC/Fraud"
- "Credential Phishing"
tactics_and_techniques:
- "Social engineering"
- "Evasion"
detection_methods:
- "Content analysis"
- "Natural Language Understanding"
id: "f5bee657-53bc-501f-9b7a-ea51da73a716"