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sublimemediumRule
Brand impersonation: MyChart
Detects inbound messages impersonating MyChart, the patient portal brand, by using a display name containing 'mychart' combined with common lure phrases such as 'claim your reward', 'member rewards', 'feedback survey', or 'medicare kit'. The rule also flags messages sent from recently registered domains. Legitimate senders from trusted MyChart-related domains that pass DMARC authentication, as well as designated high-trust sender domains, are excluded.
Detection Query
type.inbound
and strings.icontains(sender.display_name, "mychart")
and (
(
strings.icontains(body.current_thread.text, "mychart")
and 2 of (
strings.icontains(body.current_thread.text, "claim your reward"),
strings.icontains(body.current_thread.text, "feedback survey"),
strings.icontains(body.current_thread.text, "invited to participate"),
strings.icontains(body.current_thread.text, "medicare kit"),
strings.icontains(body.current_thread.text, "member rewards"),
strings.icontains(body.current_thread.text, "member appreciation"),
strings.icontains(body.current_thread.text, "log in to mychart"),
regex.icontains(body.current_thread.text, '©\s*(?:\d+)\s*mychart')
)
)
or strings.icontains(subject.base, "medicare kit")
or network.whois(sender.email.domain).days_old < 365
)
and not (
sender.email.domain.root_domain in (
"epic-notification.com",
"myhealthconnect.org"
)
and coalesce(headers.auth_summary.dmarc.pass, false)
)
// negate highly trusted sender domains unless they fail DMARC authentication
and not (
sender.email.domain.root_domain in $high_trust_sender_root_domains
and coalesce(headers.auth_summary.dmarc.pass, false)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Raw Content
name: "Brand impersonation: MyChart"
description: "Detects inbound messages impersonating MyChart, the patient portal brand, by using a display name containing 'mychart' combined with common lure phrases such as 'claim your reward', 'member rewards', 'feedback survey', or 'medicare kit'. The rule also flags messages sent from recently registered domains. Legitimate senders from trusted MyChart-related domains that pass DMARC authentication, as well as designated high-trust sender domains, are excluded."
type: "rule"
severity: "medium"
source: |
type.inbound
and strings.icontains(sender.display_name, "mychart")
and (
(
strings.icontains(body.current_thread.text, "mychart")
and 2 of (
strings.icontains(body.current_thread.text, "claim your reward"),
strings.icontains(body.current_thread.text, "feedback survey"),
strings.icontains(body.current_thread.text, "invited to participate"),
strings.icontains(body.current_thread.text, "medicare kit"),
strings.icontains(body.current_thread.text, "member rewards"),
strings.icontains(body.current_thread.text, "member appreciation"),
strings.icontains(body.current_thread.text, "log in to mychart"),
regex.icontains(body.current_thread.text, '©\s*(?:\d+)\s*mychart')
)
)
or strings.icontains(subject.base, "medicare kit")
or network.whois(sender.email.domain).days_old < 365
)
and not (
sender.email.domain.root_domain in (
"epic-notification.com",
"myhealthconnect.org"
)
and coalesce(headers.auth_summary.dmarc.pass, false)
)
// negate highly trusted sender domains unless they fail DMARC authentication
and not (
sender.email.domain.root_domain in $high_trust_sender_root_domains
and coalesce(headers.auth_summary.dmarc.pass, false)
)
attack_types:
- "Credential Phishing"
- "Spam"
tactics_and_techniques:
- "Impersonation: Brand"
- "Social engineering"
- "Spoofing"
detection_methods:
- "Content analysis"
- "Natural Language Understanding"
- "Header analysis"
- "Sender analysis"
id: "8be6743d-8d17-53ef-97c7-cb00f2b27374"