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sublimemediumRule
Service Abuse: Box file sharing with credential phishing intent
Detects abuse of Box's legitimate infrastructure for credential phishing attacks.
Detection Query
type.inbound
// Legitimate Box sending infrastructure
and sender.email.domain.root_domain == "box.com"
// ML classification indicates credential theft with high confidence
and (
any(ml.nlu_classifier(body.current_thread.text).intents,
.name == "cred_theft" and .confidence == "high"
)
// Link analysis for credential phishing detection
or any(filter(body.links,
// target the box link
(
.href_url.domain.domain == "app.box.com"
)
),
ml.link_analysis(., mode="aggressive").credphish.disposition == "phishing"
and ml.link_analysis(., mode="aggressive").credphish.confidence in (
"medium",
"high"
)
)
)
// Box file sharing patterns
and (
strings.icontains(subject.subject, 'invited you to')
or strings.icontains(subject.subject, 'shared')
or strings.icontains(subject.subject, 'has sent you')
or strings.icontains(body.current_thread.text, 'Go to File')
or any(body.links, strings.icontains(.display_text, 'Go to File'))
)
// Suspicious document patterns or VIP impersonation
and (
// Financial document patterns
(
regex.icontains(subject.subject,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
or regex.icontains(body.current_thread.text,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
or any(body.links,
regex.icontains(.display_text,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
)
)
// Corporate document patterns
or (
regex.icontains(subject.subject,
'\b(urgent|important|confidential|secure|encrypted|document|file)\b'
)
and regex.icontains(subject.subject,
'\b(review|approval|signature|verification|validation)\b'
)
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Service Abuse: Box file sharing with credential phishing intent"
description: "Detects abuse of Box's legitimate infrastructure for credential phishing attacks."
type: "rule"
severity: "medium"
source: |
type.inbound
// Legitimate Box sending infrastructure
and sender.email.domain.root_domain == "box.com"
// ML classification indicates credential theft with high confidence
and (
any(ml.nlu_classifier(body.current_thread.text).intents,
.name == "cred_theft" and .confidence == "high"
)
// Link analysis for credential phishing detection
or any(filter(body.links,
// target the box link
(
.href_url.domain.domain == "app.box.com"
)
),
ml.link_analysis(., mode="aggressive").credphish.disposition == "phishing"
and ml.link_analysis(., mode="aggressive").credphish.confidence in (
"medium",
"high"
)
)
)
// Box file sharing patterns
and (
strings.icontains(subject.subject, 'invited you to')
or strings.icontains(subject.subject, 'shared')
or strings.icontains(subject.subject, 'has sent you')
or strings.icontains(body.current_thread.text, 'Go to File')
or any(body.links, strings.icontains(.display_text, 'Go to File'))
)
// Suspicious document patterns or VIP impersonation
and (
// Financial document patterns
(
regex.icontains(subject.subject,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
or regex.icontains(body.current_thread.text,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
or any(body.links,
regex.icontains(.display_text,
'\b(fund|portfolio|agreement|contract|proposal|invoice|payment|wire|settlement|billing|timesheet|hr)\b'
)
)
)
// Corporate document patterns
or (
regex.icontains(subject.subject,
'\b(urgent|important|confidential|secure|encrypted|document|file)\b'
)
and regex.icontains(subject.subject,
'\b(review|approval|signature|verification|validation)\b'
)
)
)
attack_types:
- "Credential Phishing"
- "BEC/Fraud"
- "Callback Phishing"
tactics_and_techniques:
- "Evasion"
- "Social engineering"
- "Impersonation: Employee"
- "Impersonation: VIP"
detection_methods:
- "Content analysis"
- "Natural Language Understanding"
- "Sender analysis"
- "Header analysis"
id: "5bd0cb25-5984-5f52-9b7b-d7d337eacf7a"