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sublimemediumRule
Cloud storage impersonation with credential theft indicators
Detects messages impersonating cloud storage services that contain hyperlinked images leading to free file hosts, where message screenshots reveal high-confidence credential theft language and storage-related urgency tactics.
Detection Query
type.inbound
and 0 < length(body.current_thread.links) < 10
and any([subject.subject, sender.display_name],
regex.icontains(., "(?:cloud|storage|mailbox|account|system|service)")
)
and any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents,
.name == "cred_theft" and .confidence == "high"
)
and not any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics,
.name == "Customer Service and Support" and .confidence == "high"
)
and regex.icontains(beta.ocr(file.message_screenshot()).text,
"storage.{0,50}full",
"free.{0,50}upgrade",
"storage.{0,50}details",
"storage.{0,50}quot",
"(?:mailbox|account|cloud).{0,50}(?:at risk|storage|disabled)"
)
and not strings.ilike(beta.ocr(file.message_screenshot()).text, "*free plan*")
and (
any(body.current_thread.links,
// fingerprints of a hyperlinked image
.display_text is null
and .display_url.url is null
and .href_url.domain.domain not in $tenant_domains
and (
.href_url.domain.root_domain in $free_file_hosts
or .href_url.domain.root_domain in $url_shorteners
or network.whois(.href_url.domain).days_old < 365
or .href_url.domain.root_domain == "beehiiv.com"
or (
strings.icontains(.href_url.path, '.html')
and coalesce(.href_url.domain.root_domain, "null") != sender.email.domain.root_domain
)
)
)
)
// and the sender is not from high trust sender root domains
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
Raw Content
name: "Cloud storage impersonation with credential theft indicators"
description: "Detects messages impersonating cloud storage services that contain hyperlinked images leading to free file hosts, where message screenshots reveal high-confidence credential theft language and storage-related urgency tactics."
type: "rule"
severity: "medium"
source: |
type.inbound
and 0 < length(body.current_thread.links) < 10
and any([subject.subject, sender.display_name],
regex.icontains(., "(?:cloud|storage|mailbox|account|system|service)")
)
and any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).intents,
.name == "cred_theft" and .confidence == "high"
)
and not any(ml.nlu_classifier(beta.ocr(file.message_screenshot()).text).topics,
.name == "Customer Service and Support" and .confidence == "high"
)
and regex.icontains(beta.ocr(file.message_screenshot()).text,
"storage.{0,50}full",
"free.{0,50}upgrade",
"storage.{0,50}details",
"storage.{0,50}quot",
"(?:mailbox|account|cloud).{0,50}(?:at risk|storage|disabled)"
)
and not strings.ilike(beta.ocr(file.message_screenshot()).text, "*free plan*")
and (
any(body.current_thread.links,
// fingerprints of a hyperlinked image
.display_text is null
and .display_url.url is null
and .href_url.domain.domain not in $tenant_domains
and (
.href_url.domain.root_domain in $free_file_hosts
or .href_url.domain.root_domain in $url_shorteners
or network.whois(.href_url.domain).days_old < 365
or .href_url.domain.root_domain == "beehiiv.com"
or (
strings.icontains(.href_url.path, '.html')
and coalesce(.href_url.domain.root_domain, "null") != sender.email.domain.root_domain
)
)
)
)
// and the sender is not from high trust sender root domains
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
)
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Free file host"
- "Image as content"
- "Impersonation: Brand"
- "Social engineering"
detection_methods:
- "Computer Vision"
- "Content analysis"
- "Header analysis"
- "Natural Language Understanding"
- "Optical Character Recognition"
- "Sender analysis"
- "URL analysis"
id: "4c20f72c-0045-518c-8157-7dad5f196ecc"