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sublimemediumRule
Service abuse: Facebook business with action required subject
Detects messages from the Facebook business domain containing 'action required' in the subject line, commonly used to create urgency in impersonation attacks.
Detection Query
type.inbound
and (
sender.email.domain.root_domain == "facebook.com"
or sender.email.domain.root_domain == "facebookmail.com"
)
and 3 of (
strings.icontains(subject.subject, "Action required"),
strings.icontains(subject.subject, "invited to join"),
strings.icontains(body.current_thread.text, "You've been invited"),
strings.icontains(body.current_thread.text, "You're invited"),
strings.icontains(body.current_thread.text,
"not part of or affiliated with Meta"
)
)
and (
// and the link is recently registered
any(body.links, network.whois(.href_url.domain).days_old <= 30)
or any(body.links,
// if the link is still active, check if it's cred theft
any(ml.nlu_classifier(beta.ocr(ml.link_analysis(.).screenshot).text).intents,
.name == "cred_theft" and .confidence != "low"
)
)
// or look for the legit Meta footer address
or strings.icontains(body.current_thread.text,
'1 Meta Way, Menlo Park, CA 94025'
)
)
Data Sources
Email MessagesEmail HeadersEmail Attachments
Platforms
email
Tags
Attack surface reduction
Raw Content
name: "Service abuse: Facebook business with action required subject"
description: "Detects messages from the Facebook business domain containing 'action required' in the subject line, commonly used to create urgency in impersonation attacks."
type: "rule"
severity: "medium"
source: |
type.inbound
and (
sender.email.domain.root_domain == "facebook.com"
or sender.email.domain.root_domain == "facebookmail.com"
)
and 3 of (
strings.icontains(subject.subject, "Action required"),
strings.icontains(subject.subject, "invited to join"),
strings.icontains(body.current_thread.text, "You've been invited"),
strings.icontains(body.current_thread.text, "You're invited"),
strings.icontains(body.current_thread.text,
"not part of or affiliated with Meta"
)
)
and (
// and the link is recently registered
any(body.links, network.whois(.href_url.domain).days_old <= 30)
or any(body.links,
// if the link is still active, check if it's cred theft
any(ml.nlu_classifier(beta.ocr(ml.link_analysis(.).screenshot).text).intents,
.name == "cred_theft" and .confidence != "low"
)
)
// or look for the legit Meta footer address
or strings.icontains(body.current_thread.text,
'1 Meta Way, Menlo Park, CA 94025'
)
)
tags:
- "Attack surface reduction"
attack_types:
- "Credential Phishing"
tactics_and_techniques:
- "Impersonation: Brand"
- "Social engineering"
detection_methods:
- "Content analysis"
- "Sender analysis"
id: "64297d2f-a5bd-5336-8db7-ec00df59411f"