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sublimemediumRule
Link: Financial account issue with suspicious indicators
Detects messages to single recipients containing language about account or payment issues combined with suspicious links or high-confidence credential theft indicators related to financial communications.
Detection Query
type.inbound
// single recipient
and length(recipients.to) == 1
// problem phrase commonly observed in lures
and regex.icontains(body.current_thread.text,
'(?:issue|problem) with your.{0,20}(?:card|account|renewal|payment|billing)'
)
// link is suspicious for one reason or another
and any(body.links,
(
.href_url.domain.domain in $url_shorteners
or .href_url.domain.root_domain in $url_shorteners
or .href_url.domain.root_domain in $free_file_hosts
or .href_url.domain.domain in $free_file_hosts
or .href_url.domain.root_domain in $free_subdomain_hosts
or .href_url.domain.domain in $free_subdomain_hosts
or .href_url.domain.root_domain in $self_service_creation_platform_domains
or .href_url.domain.domain in $self_service_creation_platform_domains
or .href_url.domain.tld in $suspicious_tlds
or network.whois(.href_url.domain).days_old < 30
or .href_url.domain.root_domain == 'sa.com'
)
and not .href_url.domain.root_domain in (
'app.link',
'sng.link',
'onelink.me'
)
// no campaigns
and not regex.icontains(.href_url.url,
'&utm_(?:campaign|medium|source)'
)
)
// high confidence cred theft with a topic of either financial or payment comms
and any(ml.nlu_classifier(body.current_thread.text).intents,
.name == 'cred_theft' and .confidence == 'high'
)
and any(ml.nlu_classifier(body.current_thread.text).topics,
.name in ("Financial Communications", "Payment Information")
and .confidence == 'high'
)
// negate highly trusted sender domains unless they fail DMARC authentication
and (
(
sender.email.domain.root_domain in $high_trust_sender_root_domains
and not coalesce(headers.auth_summary.dmarc.pass, false)
)
or sender.email.domain.root_domain not in $high_trust_sender_root_domains
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Link: Financial account issue with suspicious indicators"
description: "Detects messages to single recipients containing language about account or payment issues combined with suspicious links or high-confidence credential theft indicators related to financial communications."
type: "rule"
severity: "medium"
source: |
type.inbound
// single recipient
and length(recipients.to) == 1
// problem phrase commonly observed in lures
and regex.icontains(body.current_thread.text,
'(?:issue|problem) with your.{0,20}(?:card|account|renewal|payment|billing)'
)
// link is suspicious for one reason or another
and any(body.links,
(
.href_url.domain.domain in $url_shorteners
or .href_url.domain.root_domain in $url_shorteners
or .href_url.domain.root_domain in $free_file_hosts
or .href_url.domain.domain in $free_file_hosts
or .href_url.domain.root_domain in $free_subdomain_hosts
or .href_url.domain.domain in $free_subdomain_hosts
or .href_url.domain.root_domain in $self_service_creation_platform_domains
or .href_url.domain.domain in $self_service_creation_platform_domains
or .href_url.domain.tld in $suspicious_tlds
or network.whois(.href_url.domain).days_old < 30
or .href_url.domain.root_domain == 'sa.com'
)
and not .href_url.domain.root_domain in (
'app.link',
'sng.link',
'onelink.me'
)
// no campaigns
and not regex.icontains(.href_url.url,
'&utm_(?:campaign|medium|source)'
)
)
// high confidence cred theft with a topic of either financial or payment comms
and any(ml.nlu_classifier(body.current_thread.text).intents,
.name == 'cred_theft' and .confidence == 'high'
)
and any(ml.nlu_classifier(body.current_thread.text).topics,
.name in ("Financial Communications", "Payment Information")
and .confidence == 'high'
)
// negate highly trusted sender domains unless they fail DMARC authentication
and (
(
sender.email.domain.root_domain in $high_trust_sender_root_domains
and not coalesce(headers.auth_summary.dmarc.pass, false)
)
or sender.email.domain.root_domain not in $high_trust_sender_root_domains
)
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Free file host"
- "Free subdomain host"
- "Social engineering"
detection_methods:
- "Content analysis"
- "Natural Language Understanding"
- "URL analysis"
- "Whois"
id: "d4d64041-8adb-533b-8918-fac88fb3dfae"